Christos Davatzikos

Summary

Affiliation: University of Pennsylvania
Country: USA

Publications

  1. ncbi request reprint Why voxel-based morphometric analysis should be used with great caution when characterizing group differences
    Christos Davatzikos
    Section of Biomedical Image Analysis, Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA
    Neuroimage 23:17-20. 2004
  2. ncbi request reprint Classifying spatial patterns of brain activity with machine learning methods: application to lie detection
    C Davatzikos
    Department of Radiology, University of Pennsylvania, 3600 Market Street, Suite 380, Philadelphia, PA 19104, USA
    Neuroimage 28:663-8. 2005
  3. pmc Longitudinal progression of Alzheimer's-like patterns of atrophy in normal older adults: the SPARE-AD index
    Christos Davatzikos
    Section of Biomedical Image Analysis, Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA
    Brain 132:2026-35. 2009
  4. pmc Prediction of MCI to AD conversion, via MRI, CSF biomarkers, and pattern classification
    Christos Davatzikos
    Section of Biomedical Image Analysis, Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA
    Neurobiol Aging 32:2322.e19-27. 2011
  5. pmc Detection of prodromal Alzheimer's disease via pattern classification of magnetic resonance imaging
    Christos Davatzikos
    Section of Biomedical Image Analysis, Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA
    Neurobiol Aging 29:514-23. 2008
  6. ncbi request reprint Whole-brain morphometric study of schizophrenia revealing a spatially complex set of focal abnormalities
    Christos Davatzikos
    Section of Biomedical Image Analysis, Department of Radiology, University of Pennsylvania Medical Center, 3600 Market Street, Philadelphia, PA 19104, USA
    Arch Gen Psychiatry 62:1218-27. 2005
  7. ncbi request reprint Targeted prostate biopsy using statistical image analysis
    Yiqiang Zhan
    Section of Biomedical Image Analysis, Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA
    IEEE Trans Med Imaging 26:779-88. 2007
  8. pmc Alzheimer's disease pattern of brain atrophy predicts cognitive decline in Parkinson's disease
    Daniel Weintraub
    Department of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104 3339, USA
    Brain 135:170-80. 2012
  9. ncbi request reprint COMPARE: classification of morphological patterns using adaptive regional elements
    Yong Fan
    Section of Biomedical Image Analysis, Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA
    IEEE Trans Med Imaging 26:93-105. 2007
  10. ncbi request reprint Statistical representation of high-dimensional deformation fields with application to statistically constrained 3D warping
    Zhong Xue
    Section of Biomedical Image Analysis SBIA, Department of Radiology, University of Pennsylvania, 3600 Market Street, Suite 380, Philadelphia, PA 19104, USA
    Med Image Anal 10:740-51. 2006

Collaborators

Detail Information

Publications95

  1. ncbi request reprint Why voxel-based morphometric analysis should be used with great caution when characterizing group differences
    Christos Davatzikos
    Section of Biomedical Image Analysis, Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA
    Neuroimage 23:17-20. 2004
    ....
  2. ncbi request reprint Classifying spatial patterns of brain activity with machine learning methods: application to lie detection
    C Davatzikos
    Department of Radiology, University of Pennsylvania, 3600 Market Street, Suite 380, Philadelphia, PA 19104, USA
    Neuroimage 28:663-8. 2005
    ....
  3. pmc Longitudinal progression of Alzheimer's-like patterns of atrophy in normal older adults: the SPARE-AD index
    Christos Davatzikos
    Section of Biomedical Image Analysis, Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA
    Brain 132:2026-35. 2009
    ..Future prospective studies will elucidate the temporal dynamics of spatial atrophy patterns and the emergence of clinical symptoms...
  4. pmc Prediction of MCI to AD conversion, via MRI, CSF biomarkers, and pattern classification
    Christos Davatzikos
    Section of Biomedical Image Analysis, Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA
    Neurobiol Aging 32:2322.e19-27. 2011
    ..In summary, both SPARE-AD and CSF biomarkers showed high baseline sensitivity, however, many MCI-NC had abnormal baseline SPARE-AD and CSF biomarkers. Longer follow-up will elucidate the specificity of baseline measurements...
  5. pmc Detection of prodromal Alzheimer's disease via pattern classification of magnetic resonance imaging
    Christos Davatzikos
    Section of Biomedical Image Analysis, Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA
    Neurobiol Aging 29:514-23. 2008
    ..Detecting complex patterns of brain abnormality in very early stages of cognitive impairment has pivotal importance for the detection and management of AD...
  6. ncbi request reprint Whole-brain morphometric study of schizophrenia revealing a spatially complex set of focal abnormalities
    Christos Davatzikos
    Section of Biomedical Image Analysis, Department of Radiology, University of Pennsylvania Medical Center, 3600 Market Street, Philadelphia, PA 19104, USA
    Arch Gen Psychiatry 62:1218-27. 2005
    ..Frontotemporal abnormalities have been documented by using predetermined region-of-interest approaches, but deformation-based morphometry permits examination of the entire brain...
  7. ncbi request reprint Targeted prostate biopsy using statistical image analysis
    Yiqiang Zhan
    Section of Biomedical Image Analysis, Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA
    IEEE Trans Med Imaging 26:779-88. 2007
    ....
  8. pmc Alzheimer's disease pattern of brain atrophy predicts cognitive decline in Parkinson's disease
    Daniel Weintraub
    Department of Psychiatry, University of Pennsylvania, Philadelphia, PA 19104 3339, USA
    Brain 135:170-80. 2012
    ..In addition, an Alzheimer's disease pattern of brain atrophy may be a preclinical biomarker of cognitive decline in Parkinson's disease...
  9. ncbi request reprint COMPARE: classification of morphological patterns using adaptive regional elements
    Yong Fan
    Section of Biomedical Image Analysis, Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA
    IEEE Trans Med Imaging 26:93-105. 2007
    ..8% for female subjects and 90.8% for male subjects), but also good stability with respect to the number of features selected and the size of SVM kernel used...
  10. ncbi request reprint Statistical representation of high-dimensional deformation fields with application to statistically constrained 3D warping
    Zhong Xue
    Section of Biomedical Image Analysis SBIA, Department of Radiology, University of Pennsylvania, 3600 Market Street, Suite 380, Philadelphia, PA 19104, USA
    Med Image Anal 10:740-51. 2006
    ..This SMD-constrained deformable registration framework can potentially incorporate various registration algorithms to improve robustness and stability via statistical shape constraints...
  11. pmc Sampling the spatial patterns of cancer: optimized biopsy procedures for estimating prostate cancer volume and Gleason Score
    Yangming Ou
    Section of Biomedical Image Analysis SBIA, University of Pennsylvania, Philadelphia, PA 19104, USA
    Med Image Anal 13:609-20. 2009
    ....
  12. ncbi request reprint Spatio-temporal analysis of brain MRI images using hidden Markov models
    Ying Wang
    Section of Biomedical Image Analysis, Department of Radiology, University of Pennsylvania, Philadelphia, USA
    Med Image Comput Comput Assist Interv 13:160-8. 2010
    ..Experimental results show this method could facilitate the early detection of pathological brain change...
  13. pmc Non-diffeomorphic registration of brain tumor images by simulating tissue loss and tumor growth
    Evangelia I Zacharaki
    Section of Biomedical Image Analysis, University of Pennsylvania, Philadelphia, PA, USA
    Neuroimage 46:762-74. 2009
    ....
  14. ncbi request reprint Statistical representation and simulation of high-dimensional deformations: application to synthesizing brain deformations
    Zhong Xue
    Section of Biomedical Image Analysis, Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA
    Med Image Comput Comput Assist Interv 8:500-8. 2005
    ....
  15. ncbi request reprint Determining correspondence in 3-D MR brain images using attribute vectors as morphological signatures of voxels
    Zhong Xue
    Section of Biomedical Image Analysis, Department of Radiology School of Medicine, University of Pennsylvania, 3600 Market ST Suite 380, Philadelphia, PA 19104, USA
    IEEE Trans Med Imaging 23:1276-91. 2004
    ..Experiments with MR images of human brains show that the algorithm performs similarly to experts, even for complex cortical structures...
  16. ncbi request reprint Deformable registration of brain tumor images via a statistical model of tumor-induced deformation
    Ashraf Mohamed
    Section of Biomedical Image Analysis, University of Pennsylvania School of Medicine, Philadelphia, PA, USA
    Med Image Anal 10:752-63. 2006
    ..Results for a real tumor case and a number of simulated tumor cases indicate significant reduction in the registration error due to the presented approach as compared to the direct use of deformable image registration...
  17. ncbi request reprint Simulation of tissue atrophy using a topology preserving transformation model
    Bilge Karacali
    School of Biomedical Engineering, Science, and Health Systems, Drexel University, 3120 24 Market Street, Philadelphia, PA 19104, USA
    IEEE Trans Med Imaging 25:649-52. 2006
    ..Furthermore, it provides exact correspondences between images prior and posterior to the atrophy that can be used to evaluate provisional image registration and atrophy quantification algorithms...
  18. pmc High-dimensional pattern regression using machine learning: from medical images to continuous clinical variables
    Ying Wang
    Section of Biomedical Image Analysis, Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA
    Neuroimage 50:1519-35. 2010
    ..Experimental results demonstrate that this regression scheme achieves higher estimation accuracy and better generalizing ability than Support Vector Regression (SVR)...
  19. pmc Registering histologic and MR images of prostate for image-based cancer detection
    Yiqiang Zhan
    Section of Biomedical Image Analysis, University of Pennsylvania, Philadelphia, PA, USA
    Acad Radiol 14:1367-81. 2007
    ..The objective of this article is to develop a registration technique for aligning histological and MR images of the same prostate...
  20. pmc T(1ρ) MRI in Alzheimer's disease: detection of pathological changes in medial temporal lobe
    Mohammad Haris
    CMROI, SBIA, Center for Neurodegenerative Disease Research, Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104 6100, USA
    J Neuroimaging 21:e86-90. 2011
    ....
  21. ncbi request reprint Diagnosis of brain abnormality using both structural and functional MR images
    Yong Fan
    Section of Biomedical Image Analysis, Department of Radiology, University of Pennsylvania, 3600 Market Street, Suite 380, Philadelphia, PA 19104, USA
    Conf Proc IEEE Eng Med Biol Soc . 2006
    ..8% correct classification rate using a leave-one-out cross-validation. Comparison results show the effectiveness of our method and also the importance of simultaneously using both structural and functional images for brain classification...
  22. pmc Cognitive and functional resilience despite molecular evidence of Alzheimer's disease pathology
    Selam Negash
    Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
    Alzheimers Dement 9:e89-95. 2013
    ..The aim of the present study was to examine cognitive and cerebral reserve factors associated with resilient functioning in the setting of AD pathology...
  23. pmc Dynamic Bayesian network modeling for longitudinal brain morphometry
    Rong Chen
    Department of Radiology, University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA, USA
    Neuroimage 59:2330-8. 2012
    ..We found that interactions among regional volume-change rates for the mild cognitive impairment group are different from those for the normal-aging group...
  24. pmc Classification of brain tumor type and grade using MRI texture and shape in a machine learning scheme
    Evangelia I Zacharaki
    Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA
    Magn Reson Med 62:1609-18. 2009
    ..Multiclass classification was also performed via a one-vs-all voting scheme...
  25. pmc A comparative study of biomechanical simulators in deformable registration of brain tumor images
    Evangelia I Zacharaki
    Section of Biomedical Image Analysis, Department of Radiology, University of Pennsylvania, 3600 Market Street, Suite 380, Philadelphia, PA 19104, USA
    IEEE Trans Biomed Eng 55:1233-6. 2008
    ..Thus, the computationally less expensive biomechanical simulator offers a practical alternative for registration purposes...
  26. pmc ORBIT: a multiresolution framework for deformable registration of brain tumor images
    Evangelia I Zacharaki
    Section of Biomedical Image Analysis, Department of Radiology, University of Pennsylvania, 3600 Market Street, Philadelphia, PA 19104, USA
    IEEE Trans Med Imaging 27:1003-17. 2008
    ....
  27. ncbi request reprint Topology preservation and regularity in estimated deformation fields
    Bilge Karacali
    Section of Biomedical Image Analysis, Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA
    Inf Process Med Imaging 18:426-37. 2003
    ....
  28. pmc Spatial patterns of brain atrophy in MCI patients, identified via high-dimensional pattern classification, predict subsequent cognitive decline
    Yong Fan
    Section of Biomedical Image Analysis, Department of Radiology, University of Pennsylvania, School of Medicine, Philadelphia, PA 19104, USA
    Neuroimage 39:1731-43. 2008
    ....
  29. ncbi request reprint Modeling glioma growth and mass effect in 3D MR images of the brain
    Cosmina Hogea
    Section of Biomedical Image Analysis, Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA
    Med Image Comput Comput Assist Interv 10:642-50. 2007
    ..We test the model and the automatic optimization framework on real brain tumor data sets, achieving significant improvement in landmark prediction compared to a simplified purely mechanical approach...
  30. ncbi request reprint Measuring brain lesion progression with a supervised tissue classification system
    Evangelia I Zacharaki
    Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA
    Med Image Comput Comput Assist Interv 11:620-7. 2008
    ..The results show that our CAD-system achieves consistent lesion segmentation in the 4D data facilitating the disease monitoring...
  31. ncbi request reprint Robust computation of mutual information using spatially adaptive meshes
    Hari Sundar
    Section for Biomedical Image Analysis, Department of Radiology, University of Pennsylvania, USA
    Med Image Comput Comput Assist Interv 10:950-8. 2007
    ..The effectiveness of the proposed method is demonstrated using both simulated MR images obtained from the BrainWeb database and clinical CT and SPECT images...
  32. pmc Computer-assisted segmentation of white matter lesions in 3D MR images using support vector machine
    Zhiqiang Lao
    Department of Radiology, 3600 Market Street, Suite 380, University of Pennsylvania, Philadelphia, PA 19104, USA
    Acad Radiol 15:300-13. 2008
    ..Brain lesions, especially white matter lesions (WMLs), are associated with cardiac and vascular disease, but also with normal aging. Quantitative analysis of WML in large clinical trials is becoming more and more important...
  33. ncbi request reprint Morphological classification of brains via high-dimensional shape transformations and machine learning methods
    Zhiqiang Lao
    Section for Biomedical Image Analysis, Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA
    Neuroimage 21:46-57. 2004
    ....
  34. pmc Baseline and longitudinal patterns of brain atrophy in MCI patients, and their use in prediction of short-term conversion to AD: results from ADNI
    Chandan Misra
    Department of Radiology, Section of Biomedical Image Analysis, University of Pennsylvania, School of Medicine, Philadelphia, PA 19104, USA
    Neuroimage 44:1415-22. 2009
    ..These pattern classification schemes, which distill spatial patterns of atrophy to a single abnormality score, offer promise as biomarkers of AD and as predictors of subsequent clinical progression, on an individual patient basis...
  35. ncbi request reprint Measuring temporal morphological changes robustly in brain MR images via 4-dimensional template warping
    Dinggang Shen
    Section of Biomedical Image Analysis, Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104 2644, USA
    Neuroimage 21:1508-17. 2004
    ..The resultant deformations are smooth both in the spatial and temporal dimensions, and are shown to significantly improve warping accuracy over a series of independent 3D warpings, in longitudinal measurements...
  36. ncbi request reprint Classification of structural images via high-dimensional image warping, robust feature extraction, and SVM
    Yong Fan
    Section of Biomedical Image Analysis, Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA
    Med Image Comput Comput Assist Interv 8:1-8. 2005
    ..8%) and steep ROC curves, but also exceptional stability with respect to the number of selected features and the SVM kernel size...
  37. ncbi request reprint Diffusion tensor image registration using tensor geometry and orientation features
    Jinzhong Yang
    Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA
    Med Image Comput Comput Assist Interv 11:905-13. 2008
    ..The robustness of the method makes it potentially useful for group-based analysis of DT images acquired in large studies to identify disease-induced and developmental changes...
  38. doi request reprint T1rho (T1ρ) MR imaging in Alzheimer's disease and Parkinson's disease with and without dementia
    Mohammad Haris
    Department of Radiology, Center for Magnetic Resonance and Optical Imaging, University of Pennsylvania, B1 Stellar Chance Laboratories, 422 Curie Boulevard, Philadelphia, PA 19104 6100, USA
    J Neurol 258:380-5. 2011
    ..The serial measurement of T(1ρ) in both AD and PD may provide the nature of disease progression and may contribute to their early diagnosis...
  39. pmc Early marker for Alzheimer's disease: hippocampus T1rho (T(1rho)) estimation
    Mohammad Haris
    MMRRCC, University of Pennsylvania, Philadelphia, Pennsylvania 19104 6100, USA
    J Magn Reson Imaging 29:1008-12. 2009
    ....
  40. ncbi request reprint Segmentation of prostate boundaries from ultrasound images using statistical shape model
    Dinggang Shen
    Section of Biomedical Image Analysis, Department of Radiology, University of Pennsylvania, 3600 Market Street, Suite 380, Philadelphia, PA 19104, USA
    IEEE Trans Med Imaging 22:539-51. 2003
    ..e., coarse features first and fine features later. A number of successful experiments validate the algorithm...
  41. ncbi request reprint Kernel-based manifold learning for statistical analysis of diffusion tensor images
    Parmeshwar Khurd
    Section of Biomedical Image Analysis, Dept of Radiology, University of Pennsylvania, Philadelphia, USA
    Inf Process Med Imaging 20:581-93. 2007
    ..We shall also present results from an application of kFDA to a DTI dataset obtained as part of a clinical study of schizophrenia...
  42. pmc Unaffected family members and schizophrenia patients share brain structure patterns: a high-dimensional pattern classification study
    Yong Fan
    Section of Biomedical Image Analysis, Department of Radiology, University of Pennsylvania, School of Medicine, Philadelphia, PA 19104, USA
    Biol Psychiatry 63:118-24. 2008
    ..This study investigates whether such endophenotypic patterns are found in FM via similar image analysis approaches...
  43. ncbi request reprint On analyzing diffusion tensor images by identifying manifold structure using isomaps
    Ragini Verma
    Section of Biomedical Image Analysis, Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA
    IEEE Trans Med Imaging 26:772-8. 2007
    ..Comparisons with standard statistical analyses that rely on Euclidean, rather than geodesic distances, are also discussed...
  44. ncbi request reprint Registering histological and MR images of prostate for image-based cancer detection
    Yiqiang Zhan
    Sect of Biomedical Image Analysis, University of Pennsylvania, Philadelphia, PA, USA
    Med Image Comput Comput Assist Interv 9:620-8. 2006
    ..This work is part of a larger effort to develop statistical atlases of prostate cancer using both imaging and histological information, and to use these atlases for optimal biopsy and therapy planning...
  45. ncbi request reprint CLASSIC: consistent longitudinal alignment and segmentation for serial image computing
    Zhong Xue
    Section of Biomedical Image Analysis, Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA
    Inf Process Med Imaging 19:101-13. 2005
    ..Morphological changes, such as growth or atrophy, are also estimated as part of the algorithm. Experimental results on simulated and real longitudinal MR brain images show both segmentation accuracy and longitudinal consistency...
  46. pmc GRAM: A framework for geodesic registration on anatomical manifolds
    Jihun Hamm
    Department of Radiology, University of Pennsylvania, 3600 Market Street, Suite 380, Philadelphia, PA 19104, USA
    Med Image Anal 14:633-42. 2010
    ..We demonstrate the advantages of the proposed framework over direct registration with both simulated and real databases of brain images...
  47. ncbi request reprint DRAMMS: deformable registration via attribute matching and mutual-saliency weighting
    Yangming Ou
    Section of Biomedical Image Analysis SBIA, University of Pennsylvania, Philadelphia, PA, 19104, USA
    Inf Process Med Imaging 21:50-62. 2009
    ..The general applicability and accuracy of DRAMMS are demonstrated by experiments in simulated images, inter-subject images, single-/multi-modality images, and longitudinal images, from human and mouse brains, breast, heart, and prostate...
  48. doi request reprint Longitudinal imaging pattern analysis (SPARE-CD index) detects early structural and functional changes before cognitive decline in healthy older adults
    Vanessa H Clark
    Section for Biomedical Image Analysis, Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA
    Neurobiol Aging 33:2733-45. 2012
    ..This work indicates that MRI and PET images, combined with advanced pattern recognition methods, may be useful for very early detection of cognitive decline...
  49. pmc Deriving statistical significance maps for SVM based image classification and group comparisons
    Bilwaj Gaonkar
    Section for Biomedical Image Analysis, University of Pennsylvania, Philadelphia, PA 19104, USA
    Med Image Comput Comput Assist Interv 15:723-30. 2012
    ..Such maps are critical for understanding imaging patterns of group differences and interpreting which anatomical regions are important in determining the classifier's decision...
  50. doi request reprint Multi-parametric analysis and registration of brain tumors: constructing statistical atlases and diagnostic tools of predictive value
    Christos Davatzikos
    Section of Biomedical Image Analysis, Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA
    Conf Proc IEEE Eng Med Biol Soc 2011:6979-81. 2011
    ..These methods combine machine learning, deformable registration, multi-parametric segmentation, and biophysical modeling of brain tumors...
  51. pmc Semi-supervised pattern classification of medical images: application to mild cognitive impairment (MCI)
    Roman Filipovych
    Section of Biomedical Image Analysis, Department of Radiology, University of Pennsylvania, 3600 Market St, Suite 380, Philadelphia, PA 19104, USA
    Neuroimage 55:1109-19. 2011
    ....
  52. pmc Semi-supervised cluster analysis of imaging data
    Roman Filipovych
    Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA
    Neuroimage 54:2185-97. 2011
    ..e. cognitively stable) state. We analyze the clusters' structure, and show that clustering results obtained using our approach correlate well with clinical data...
  53. pmc Quantification of brain maturation and growth patterns in C57BL/6J mice via computational neuroanatomy of diffusion tensor images
    Sajjad Baloch
    Department of Radiology, University of Pennsylvania, PA 19104, USA
    Cereb Cortex 19:675-87. 2009
    ..Fiber maturation reaches steady state in about 10 days for the cortex, to 30-40 days for the corpus callosum, the hippocampus, and the internal and external capsules...
  54. ncbi request reprint A robust framework for soft tissue simulations with application to modeling brain tumor mass effect in 3D MR images
    Cosmina Hogea
    Section of Biomedical Image Analysis, Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA
    Phys Med Biol 52:6893-908. 2007
    ..We illustrate the potential of our framework to simulate realistic brain tumor mass effects at reduced computational cost, for aiding the registration process towards the construction of brain tumor atlases...
  55. pmc Spatiotemporal maturation patterns of murine brain quantified by diffusion tensor MRI and deformation-based morphometry
    Ragini Verma
    Section of Biomedical Image Analysis, Department of Radiology, University of Pennsylvania, 3600 Market Street, Suite 380, Philadelphia, PA 19104, USA
    Proc Natl Acad Sci U S A 102:6978-83. 2005
    ..This analysis provides a framework for quantifying normative maturation patterns against which phenotypes of mice of different genetic and environmental backgrounds can be contrasted...
  56. ncbi request reprint Deformable registration of cortical structures via hybrid volumetric and surface warping
    Tianming Liu
    Section of Biomedical Image Analysis, Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA
    Neuroimage 22:1790-801. 2004
    ..Experimental results on both synthesized and real brain data demonstrate the performance of the proposed method in the registration of cortical structures across individuals...
  57. ncbi request reprint A Bayesian morphometry algorithm
    Edward H Herskovits
    Department of Radiology, University of Pennsylvania, 3600 Market Street, Suite 370, Room 117, Philadelphia, PA 19104, USA
    IEEE Trans Med Imaging 23:723-37. 2004
    ..e., t-test and paired t-test) fails in the nonlinear-association case...
  58. pmc Simulating deformations of MR brain images for validation of atlas-based segmentation and registration algorithms
    Zhong Xue
    Section of Biomedical Image Analysis SBIA, Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania, USA
    Neuroimage 33:855-66. 2006
    ..The code and simulated data are available through our Web site...
  59. ncbi request reprint Anatomical equivalence class: a morphological analysis framework using a lossless shape descriptor
    Sokratis Makrogiannis
    Section of Biomedical Image Analysis, Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA
    IEEE Trans Med Imaging 26:619-31. 2007
    ....
  60. ncbi request reprint Optimized prostate biopsy via a statistical atlas of cancer spatial distribution
    Dinggang Shen
    Department of Radiology, University of Pennsylvania, 3600 Market Street, Suite 380, Philadelphia, PA 19104 2644, USA
    Med Image Anal 8:139-50. 2004
    ..Experimental results using cross-validation show that the proposed method can detect cancer with a 99% success rate using seven needles, in these samples...
  61. ncbi request reprint Spatial normalization of diffusion tensor fields
    Dongrong Xu
    Section of Biomedical Image Analysis, Department of Radiology, University of Pennsylvania School of Medicine, Philadelphia, Pennsylvania 19104, USA
    Magn Reson Med 50:175-82. 2003
    ..Simulated experiments using this methodology are also described...
  62. ncbi request reprint An anatomical equivalence class based joint transformation-residual descriptor for morphological analysis
    Sajjad Baloch
    University of Pennsylvania, Philadelphia, PA, USA
    Inf Process Med Imaging 20:594-606. 2007
    ....
  63. ncbi request reprint A general and unifying framework for feature construction, in image-based pattern classification
    Nematollah Batmanghelich
    Section of Biomedical Image Analysis, Radiology Department, University of Pennsylvania, Philadelphia, PA 19014, USA
    Inf Process Med Imaging 21:423-34. 2009
    ..A non-negative matrix factorization scheme is used, and a numerical solution with proven convergence is used for solution. Results in classification of Alzheimers patients from the ADNI study are presented...
  64. ncbi request reprint Very high-resolution morphometry using mass-preserving deformations and HAMMER elastic registration
    Dinggang Shen
    Section of Biomedical Image Analysis, Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA
    Neuroimage 18:28-41. 2003
    ..The proposed method is validated by a series of experiments, with both simulated and real brain images...
  65. ncbi request reprint Optimally-discriminative voxel-based analysis
    Tianhao Zhang
    Section of Biomedical Image Analysis, Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA
    Med Image Comput Comput Assist Interv 13:257-65. 2010
    ..Permutation tests are finally used to obtain the statistical significance. The experiments on Mild Cognitive Impairment (MCI) study have shown the effectiveness of the framework...
  66. ncbi request reprint CLASSIC: consistent longitudinal alignment and segmentation for serial image computing
    Zhong Xue
    Section of Biomedical Image Analysis, Department of Radiology, University of Pennsylvania, PA 19104, USA
    Neuroimage 30:388-99. 2006
    ..Morphological changes, such as growth or atrophy, are also estimated as part of the algorithm. Experimental results on simulated and real longitudinal MR brain images show both segmentation accuracy and longitudinal consistency...
  67. pmc Joint segmentation and deformable registration of brain scans guided by a tumor growth model
    Ali Gooya
    Section for Biomedical Image Analysis, Suite 380, 3600 Market St, 19104 Philadelphia, USA
    Med Image Comput Comput Assist Interv 14:532-40. 2011
    ..The resulting segmentations look promising and quantitatively match well with the expert provided ground truth...
  68. ncbi request reprint Regularized tensor factorization for multi-modality medical image classification
    Nematollah Batmanghelich
    Section for Biomedical Image Analysis, Suite 380, 3600 Market St, 19104 Philadelphia, USA
    Med Image Comput Comput Assist Interv 14:17-24. 2011
    ..We compared this method with a publically available classification software based on SVM that has shown state-of-the-art classification rate in number of publications...
  69. ncbi request reprint Efficient large deformation registration via geodesics on a learned manifold of images
    Jihun Hamm
    Department of Radiology, University of Pennsylvania, USA
    Med Image Comput Comput Assist Interv 12:680-7. 2009
    ..Furthermore, the graph representation allows us to estimate the optimal group template by minimizing geodesic distances. We demonstrate the advantages of the proposed method with synthetic 2D images and real 3D mice brain volumes...
  70. pmc Multiparametric tissue characterization of brain neoplasms and their recurrence using pattern classification of MR images
    Ragini Verma
    Department of Radiology, University of Pennsylvania, 3600 Market Street, Suite 380, Philadelphia, PA 19104, USA
    Acad Radiol 15:966-77. 2008
    ....
  71. pmc An image-driven parameter estimation problem for a reaction-diffusion glioma growth model with mass effects
    Cosmina Hogea
    Section of Biomedical Image Analysis, Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA
    J Math Biol 56:793-825. 2008
    ..In this paper, we present the formulation, and the solution method and we conduct 1D numerical experiments for preliminary evaluation of the overall formulation/methodology...
  72. ncbi request reprint Biomechanically-constrained 4D estimation of myocardial motion
    Hari Sundar
    Section for Biomedical Image Analysis, Department of Radiology, University of Pennsylvania, USA
    Med Image Comput Comput Assist Interv 12:257-65. 2009
    ..In these preliminary tests, we verify the implementation and conduct a parametric study to test the sensitivity of the model to material properties perturbations, model errors, and incomplete and noisy observations...
  73. ncbi request reprint Hierarchical active shape models, using the wavelet transform
    Christos Davatzikos
    Section for Biomedical Image Analysis, Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA
    IEEE Trans Med Imaging 22:414-23. 2003
    ..Examples on magnetic resonance images of the corpus callosum and hand contours demonstrate that good and fully automated segmentations can be achieved, even with as few as five training samples...
  74. pmc T1rho MRI of Alzheimer's disease
    Arijitt Borthakur
    MMRRCC, Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104 6100, USA
    Neuroimage 41:1199-205. 2008
    ....
  75. ncbi request reprint Diagnosis of brain abnormality using both structural and functional MR images
    Yong Fan
    Department of Radiology, University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA 19104, USA
    Conf Proc IEEE Eng Med Biol Soc 1:1044-7. 2006
    ..8% correct classification rate using a leave-one-out cross-validation. Comparison results show the effectiveness of our method and also the importance of simultaneously using both structural and functional images for brain classification...
  76. ncbi request reprint Quantification of facial expressions using high-dimensional shape transformations
    Ragini Verma
    Department of Radiology, Section of Biomedical Image Analysis, University of Pennsylvania, 3600 Market Street, Suite 380, Philadelphia, PA 19104, USA
    J Neurosci Methods 141:61-73. 2005
    ..A model for the average expression of specific emotions was also constructed using the RVD maps. This method can be applied in basic and clinical investigations of facial affect and its neural substrates...
  77. pmc Design of comprehensive Alzheimer's disease centers to address unmet national needs
    John Q Trojanowski
    Institute on Aging, Philadelphia, PA, USA
    Alzheimers Dement 6:150-5. 2010
    ..The intent of this position paper is to stimulate thinking and foster the development of other or alternative models for a systematic approach to the study of dementia and movement disorders...
  78. ncbi request reprint Finite element modeling of brain tumor mass-effect from 3D medical images
    Ashraf Mohamed
    CISST NSF Engineering Research Center, Department of Computer Science, Johns Hopkins University, USA
    Med Image Comput Comput Assist Interv 8:400-8. 2005
    ..Results indicate that the model can reproduce the real deformations with an accuracy that is similar to that of manual placement of landmark points to which the model is compared...
  79. pmc Deformable registration of glioma images using EM algorithm and diffusion reaction modeling
    Ali Gooya
    Section of Biomedical Image Analysis, Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA
    IEEE Trans Med Imaging 30:375-90. 2011
    ..The results show that our method outperforms ORBIT, and the warped templates have better similarity to patient images...
  80. ncbi request reprint HAMMER: hierarchical attribute matching mechanism for elastic registration
    Dinggang Shen
    Center for Biomedical Image Computing, Department of Radiology, The Johns Hopkins University School of Medicine, 601 N Caroline Street, Baltimore, MD 21287, USA
    IEEE Trans Med Imaging 21:1421-39. 2002
    ..A number of experiments demonstrate that the proposed algorithm results in accurate superposition of image data from individuals with significant anatomical differences...
  81. ncbi request reprint Morphometric analysis of cortical sulci using parametric ribbons: a study of the central sulcus
    Christos Davatzikos
    Center for Biomedical Image Computing, Department of Radiology, Johns Hopkins University, Baltimore, MD 21287, USA
    J Comput Assist Tomogr 26:298-307. 2002
    ..Position asymmetries were also found, which might be explained by a relative larger parietal association cortex in men but not in women...
  82. ncbi request reprint Spatial normalization of spine MR images for statistical correlation of lesions with clinical symptoms
    Christos Davatzikos
    Center for Biomedical Image Computing, Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, 601 N Caroline St, JHOC3220, Baltimore, MD 21287, USA
    Radiology 224:919-26. 2002
    ..Very good agreement with manual segmentations was observed. The main application of this method is in lesion-deficit analysis for determining associations between structural damage and clinical symptoms...
  83. ncbi request reprint A framework for callosal fiber distribution analysis
    Dongrong Xu
    Center for Biomedical Image Computing, Johns Hopkins University School of Medicine, Baltimore, Maryland 21287, USA
    Neuroimage 17:1131-43. 2002
    ..The proposed approach combines methodologies for fiber tracking and spatial normalization and is applied on diffusion tensor images and standard magnetic resonance images...
  84. pmc Are brain volumes based on magnetic resonance imaging mediators of the associations of cumulative lead dose with cognitive function?
    Brian Caffo
    Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD 21205, USA
    Am J Epidemiol 167:429-37. 2008
    ..The approach to evaluating volumetric mediation may have general applicability in epidemiologic neuroimaging settings...
  85. ncbi request reprint Using a statistical shape model to extract sulcal curves on the outer cortex of the human brain
    Xiaodong Tao
    Department of Elecltrical and Computer Engineering and the Center for Biomedical Image Computing, School of Medicine, Johns Hopkins University, Baltimore, MD 21218 USA
    IEEE Trans Med Imaging 21:513-24. 2002
    ..The method is tested against and shown to be as accurate as manually defined segmentations...
  86. ncbi request reprint Computer-assisted imaging to assess brain structure in healthy and diseased brains
    John Ashburner
    The Wellcome Department of Imaging Neuroscience, Institute of Neurology, London, UK
    Lancet Neurol 2:79-88. 2003
    ....
  87. ncbi request reprint Imaging cortical association tracts in the human brain using diffusion-tensor-based axonal tracking
    Susumu Mori
    Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland 21205, USA
    Magn Reson Med 47:215-23. 2002
    ..As a first illustration of this technical capability, a reduction in brain connectivity in a patient with a childhood neurodegenerative disease (X-linked adrenoleukodystrophy) was demonstrated...
  88. ncbi request reprint Automated morphometric study of brain variation in XXY males
    Dinggang Shen
    Section of Biomedical Image Analysis, Department of Radiology, University of Pennsylvania, 3600 Market Street, Suite 380, Philadelphia, PA 19104, USA
    Neuroimage 23:648-53. 2004
    ..In addition to the reduction of local volume, overall enlargement of ventricles and overall volume reduction of both white matter and gray matter are also found in XXY males...
  89. ncbi request reprint Deformable registration of brain tumor images via a statistical model of tumor-induced deformation
    Ashraf Mohamed
    CISST NSF Engineering Research Center, Department of Computer Science, Johns Hopkins University, USA
    Med Image Comput Comput Assist Interv 8:263-70. 2005
    ..Results for a real and a simulated tumor case indicate significant reduction in the registration error due to the presented approach as compared to the direct use of deformable image registration...
  90. ncbi request reprint Using the fast marching method to extract curves with given global properties
    Xiaodong Tao
    Johns Hopkins University, Baltimore, MD 21218, USA
    Med Image Comput Comput Assist Interv 8:870-7. 2005
    ..We show some results on both a simulated image and a highly convoluted human brain cortical surface...
  91. ncbi request reprint Estimating topology preserving and smooth displacement fields
    Bilge Karacali
    Section of Biomedical Image Analysis, Department of Radiology, University of Pennsylvania, Philadelphia, PA 19104, USA
    IEEE Trans Med Imaging 23:868-80. 2004
    ..They also show that the proposed smoothing method can render morphometric analysis methods that are based on displacement field of shape transformations more robust to noise without removing important morphologic characteristics...
  92. pmc Three-dimensional sonography with needle tracking: role in diagnosis and treatment of prostate cancer
    Feimo Shen
    Eigen LLC, 13366 Grass Valley Ave, Grass Valley, CA 95945 USA
    J Ultrasound Med 27:895-905. 2008
    ..Because prostatic carcinomas are nonuniformly distributed within the prostate gland, it is crucial to accurately guide the needles toward clinically important locations within the 3D volume for both diagnosis and treatment...
  93. ncbi request reprint Voxel-based morphometric analysis using shape transformations
    Christos Davatzikos
    Section of Biomedical Image Analysis, Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA
    Int Rev Neurobiol 66:125-46. 2005
  94. ncbi request reprint Longitudinal magnetic resonance imaging studies of older adults: a shrinking brain
    Susan M Resnick
    Laboratory of Personality and Cognition, National Institute on Aging, Baltimore, Maryland 21224 6825, USA
    J Neurosci 23:3295-301. 2003
    ....
  95. ncbi request reprint Puberty-related influences on brain development
    Jay N Giedd
    Child Psychiatry Branch, National Institute of Mental Health, Building 10, Room 4C110, 10 Center Drive, MSC 1367, Bethesda, MD 20892, United States
    Mol Cell Endocrinol 254:154-62. 2006
    ..Subjects with XXY have gray matter reductions in the insula, temporal gyri, amygdala, hippocampus, and cingulate-areas consistent with the language-based learning difficulties common in this group...