Jurgen Fripp

Summary

Country: Australia

Publications

  1. ncbi request reprint Automatic segmentation of the bone and extraction of the bone-cartilage interface from magnetic resonance images of the knee
    Jurgen Fripp
    BioMedIA Lab, Autonomous Systems Laboratory, CSIRO ICT Centre, Level 20, 300 Adelaide street, Brisbane, Qld 4001, Australia
    Phys Med Biol 52:1617-31. 2007
  2. pmc A novel mesh processing based technique for 3D plant analysis
    Anthony Paproki
    The Australian e Health Research Centre, CSIRO ICT Centre, Australia
    BMC Plant Biol 12:63. 2012
  3. ncbi request reprint Automatic segmentation of articular cartilage in magnetic resonance images of the knee
    Jurgen Fripp
    BioMedIA Lab, e Health Research Centre, CSIRO ICT Centre, Australia
    Med Image Comput Comput Assist Interv 10:186-94. 2007
  4. ncbi request reprint Segmentation of the bones in MRIs of the knee using phase, magnitude, and shape information
    Jurgen Fripp
    BioMedIA Lab, eHealth Research Centre, CSIRO ICT Centre, 300 Adelaide street, Brisbane, QLD, 4001, Australia
    Acad Radiol 14:1201-8. 2007
  5. pmc Automatic segmentation and quantitative analysis of the articular cartilages from magnetic resonance images of the knee
    Jurgen Fripp
    CSIRO, ICTC, The Australian e Health Research Centre BioMedIA, Royal Brisbane and Women s Hospital, 4029 Herston, QLD, Australia
    IEEE Trans Med Imaging 29:55-64. 2010
  6. doi request reprint Appearance modeling of 11C PiB PET images: characterizing amyloid deposition in Alzheimer's disease, mild cognitive impairment and healthy aging
    Jurgen Fripp
    Australian e Health Research Center, CSIRO ICT Centre, Brisbane, Australia
    Neuroimage 43:430-9. 2008
  7. ncbi request reprint MR-less high dimensional spatial normalization of 11C PiB PET images on a population of elderly, mild cognitive impaired and Alzheimer disease patients
    Jurgen Fripp
    Australian E Health Research Centre, CSIRO ICT Centre, Brisbane, Australia
    Med Image Comput Comput Assist Interv 11:442-9. 2008
  8. doi request reprint Cortical surface mapping using topology correction, partial flattening and 3D shape context-based non-rigid registration for use in quantifying atrophy in Alzheimer's disease
    Oscar Acosta
    CSIRO Preventative Health National Research Flagship, ICTC, The Australian e Health Research Centre BioMedIA, Herston, Australia
    J Neurosci Methods 205:96-109. 2012
  9. doi request reprint Automated (11)C-PiB standardized uptake value ratio
    Parnesh Raniga
    CSIRO Preventative Health National Research Flagshift ICTC, The Australian e Health Research Centre BioMedIA, Royal Brisbane and Women s Hospital, Herston, QLD, Australia
    Acad Radiol 15:1376-89. 2008
  10. pmc Automated voxel-based 3D cortical thickness measurement in a combined Lagrangian-Eulerian PDE approach using partial volume maps
    Oscar Acosta
    The Australian e Health Research Centre, CSIRO ICT Centre, Brisbane, Australia
    Med Image Anal 13:730-43. 2009

Collaborators

Detail Information

Publications26

  1. ncbi request reprint Automatic segmentation of the bone and extraction of the bone-cartilage interface from magnetic resonance images of the knee
    Jurgen Fripp
    BioMedIA Lab, Autonomous Systems Laboratory, CSIRO ICT Centre, Level 20, 300 Adelaide street, Brisbane, Qld 4001, Australia
    Phys Med Biol 52:1617-31. 2007
    ..89) and an average point-to-surface error of 0.16 mm on the BCI. The extracted BCI had a median surface overlap of 0.94 with the real interface, demonstrating its usefulness for subsequent cartilage segmentation or quantitative analysis...
  2. pmc A novel mesh processing based technique for 3D plant analysis
    Anthony Paproki
    The Australian e Health Research Centre, CSIRO ICT Centre, Australia
    BMC Plant Biol 12:63. 2012
    ..However, 3D mesh analysis provides the tremendous potential to accurately estimate specific morphological features cross-sectionally and monitor them over-time...
  3. ncbi request reprint Automatic segmentation of articular cartilage in magnetic resonance images of the knee
    Jurgen Fripp
    BioMedIA Lab, e Health Research Centre, CSIRO ICT Centre, Australia
    Med Image Comput Comput Assist Interv 10:186-94. 2007
    ..891), close to the (0.896) obtained using a semi-automatic watershed algorithm. The error in quantitative volume and thickness measures was (8.29, 4.94, 5.56)% and (0.19, 0.33, 0.10) mm respectively...
  4. ncbi request reprint Segmentation of the bones in MRIs of the knee using phase, magnitude, and shape information
    Jurgen Fripp
    BioMedIA Lab, eHealth Research Centre, CSIRO ICT Centre, 300 Adelaide street, Brisbane, QLD, 4001, Australia
    Acad Radiol 14:1201-8. 2007
    ..Moreover, we show that by incorporating shape information, more accurate and anatomically valid segmentations are obtained...
  5. pmc Automatic segmentation and quantitative analysis of the articular cartilages from magnetic resonance images of the knee
    Jurgen Fripp
    CSIRO, ICTC, The Australian e Health Research Centre BioMedIA, Royal Brisbane and Women s Hospital, 4029 Herston, QLD, Australia
    IEEE Trans Med Imaging 29:55-64. 2010
    ..92, 4.65, 5.69) and absolute Laplacian thickness difference of (0.13, 0.24, 0.12) mm...
  6. doi request reprint Appearance modeling of 11C PiB PET images: characterizing amyloid deposition in Alzheimer's disease, mild cognitive impairment and healthy aging
    Jurgen Fripp
    Australian e Health Research Center, CSIRO ICT Centre, Brisbane, Australia
    Neuroimage 43:430-9. 2008
    ....
  7. ncbi request reprint MR-less high dimensional spatial normalization of 11C PiB PET images on a population of elderly, mild cognitive impaired and Alzheimer disease patients
    Jurgen Fripp
    Australian E Health Research Centre, CSIRO ICT Centre, Brisbane, Australia
    Med Image Comput Comput Assist Interv 11:442-9. 2008
    ..The R-squared correlation between the uptake obtained in the frontal, parietal, occipital and temporal was 0.789, 0.843, 0.871 and 0.964. These are very promising results, considering the low resolution of 11C PiB PET images...
  8. doi request reprint Cortical surface mapping using topology correction, partial flattening and 3D shape context-based non-rigid registration for use in quantifying atrophy in Alzheimer's disease
    Oscar Acosta
    CSIRO Preventative Health National Research Flagship, ICTC, The Australian e Health Research Centre BioMedIA, Herston, Australia
    J Neurosci Methods 205:96-109. 2012
    ..We demonstrated the validity of the method for use in clinical studies which provides an alternative to well established techniques to compare different imaging biomarkers for the study of neurodegenerative diseases...
  9. doi request reprint Automated (11)C-PiB standardized uptake value ratio
    Parnesh Raniga
    CSIRO Preventative Health National Research Flagshift ICTC, The Australian e Health Research Centre BioMedIA, Royal Brisbane and Women s Hospital, Herston, QLD, Australia
    Acad Radiol 15:1376-89. 2008
    ..However, SUVR is still conducted manually and is time consuming. An automated normalization algorithm is proposed...
  10. pmc Automated voxel-based 3D cortical thickness measurement in a combined Lagrangian-Eulerian PDE approach using partial volume maps
    Oscar Acosta
    The Australian e Health Research Centre, CSIRO ICT Centre, Brisbane, Australia
    Med Image Anal 13:730-43. 2009
    ..Overall, with our method the number of samples is reduced by 25% to find significant differences between the two groups...
  11. ncbi request reprint Automatic delineation of sulci and improved partial volume classification for accurate 3D voxel-based cortical thickness estimation from MR
    Oscar Acosta
    The Australian e Health Research Centre, ICTC CSIRO, Brisbane, QLD, Australia
    Med Image Comput Comput Assist Interv 11:253-61. 2008
    ..9). A quantitative analysis on clinical data from an Alzheimer's disease study showed significant differences between normal controls and Alzheimer's disease patients...
  12. ncbi request reprint MR-less surface-based amyloid estimation by subject-specific atlas selection and Bayesian fusion
    Luping Zhou
    Australian E Health Research Centre, CSIRO, Australia
    Med Image Comput Comput Assist Interv 15:220-7. 2012
    ..Qualitative and quantitative comparison with and without MRI are presented. Using PET only, the average error on the brain surface was around 13% compared to MRI-dependant method...
  13. ncbi request reprint MR image segmentation using phase information and a novel multiscale scheme
    Pierrick Bourgeat
    BioMedIA Lab, Autonomous Systems Laboratory, CSIRO ICT Centre, Sydney, Australia
    Med Image Comput Comput Assist Interv 9:920-7. 2006
    ..This algorithm dramatically increases the speed of the segmentation process by an order of magnitude through a reduction of the number of pixels that needs to be classified in the image...
  14. ncbi request reprint The use of unwrapped phase in MR image segmentation: a preliminary study
    Pierrick Bourgeat
    Autonomous Sytems Laboratory, BioMedIA Lab, CSIRO ICT Centre, Australia
    Med Image Comput Comput Assist Interv 8:813-20. 2005
    ..The textural information extracted from the magnitude and the phase can be combined to perform tissue classification, and used to initialise an active shape model, leading to a more precise segmentation...
  15. doi request reprint Patient specific prostate segmentation in 3-d magnetic resonance images
    Shekhar S Chandra
    Australian E Health Research Centre, CSIRO, Brisbane, QLD, Australia
    IEEE Trans Med Imaging 31:1955-64. 2012
    ..The median DSC result was equal to the inter-rater DSC and had a mean absolute surface error of 1.85 mm. The approach is showed to perform well near the apex and seminal vesicles of the prostate...
  16. doi request reprint Cross-sectional and longitudinal analysis of the relationship between Aβ deposition, cortical thickness, and memory in cognitively unimpaired individuals and in Alzheimer disease
    Vincent Dore
    CSIRO Preventative Health National Research Flagship ICTC, the Australian e Health Research Centre BioMedical, Royal Brisbane and Women s Hospital, Herston, Queensland, Australia
    JAMA Neurol 70:903-11. 2013
    ..We aimed to further characterize the cross-sectional and longitudinal relationship between Aβ deposition, gray matter atrophy, and cognitive impairment...
  17. doi request reprint Detecting global and local hippocampal shape changes in Alzheimer's disease using statistical shape models
    Kai Kai Shen
    Australian E Health Research Centre, CSIRO ICT Centre, Herston, Queensland, Australia
    Neuroimage 59:2155-66. 2012
    ....
  18. ncbi request reprint MR image segmentation of the knee bone using phase information
    Pierrick Bourgeat
    BioMedIA Lab, e Health Research Centre, CSIRO ICT Centre, Brisbane, Australia
    Med Image Anal 11:325-35. 2007
    ..An order of magnitude increase is obtained, by reducing the number of pixels that need to be classified...
  19. doi request reprint Topology-corrected segmentation and local intensity estimates for improved partial volume classification of brain cortex in MRI
    Andrea Rueda
    CSIRO Preventative Health National Research Flagship, ICTC, The Australian e Health Research Centre BioMedIA, Herston, Australia
    J Neurosci Methods 188:305-15. 2010
    ..0% (p<0.001). Thickness estimation with the proposed method showed a higher reproducibility compared with the measure performed after partial volume classification using other methods...
  20. doi request reprint Constrained reverse diffusion for thick slice interpolation of 3D volumetric MRI images
    Aleš Neubert
    CSIRO ICT Centre, The Australian e Health Research Centre, Brisbane, Australia
    Comput Med Imaging Graph 36:130-8. 2012
    ..The constrained reverse diffusion approach delivered promising results and provides an alternative for thick slice interpolation, especially for higher anisotropy factors...
  21. doi request reprint Symmetric diffeomorphic registration of fibre orientation distributions
    David Raffelt
    CSIRO Preventative Health National Research Flagship ICTC, The Australian e Health Research Centre, Royal Brisbane and Women s Hospital, Herston, QLD, Australia
    Neuroimage 56:1171-80. 2011
    ....
  22. doi request reprint Segmentation of the quadratus lumborum muscle using statistical shape modeling
    Craig M Engstrom
    School of Information Technology and Electrical Engineering, University of Queensland, Brisbane, Australia
    J Magn Reson Imaging 33:1422-9. 2011
    ..To compare automated segmentation of the quadratus lumborum (QL) based on statistical shape modeling (SSM) with conventional manual processing of magnetic resonance (MR) images for segmentation of this paraspinal muscle...
  23. ncbi request reprint A magnetic resonance imaging-based workflow for planning radiation therapy for prostate cancer
    Peter B Greer
    Calvary Mater Newcastle Hospital, Newcastle, NSW, Australia
    Med J Aust 194:S24-7. 2011
    ..MRI-based radiotherapy planning can also be used for tumours in other locations, such as head and neck, and breast cancers...
  24. ncbi request reprint Advances in structural and molecular neuroimaging in Alzheimer's disease
    Kathryn A Ellis
    Academic Unit for Psychiatry of Old Age, Department of Psychiatry, University of Melbourne, Melbourne, Vic, Australia
    Med J Aust 194:S20-3. 2011
    ....
  25. doi request reprint Efficient brain lesion segmentation using multi-modality tissue-based feature selection and support vector machines
    Jean Baptiste Fiot
    CEREMADE, UMR 7534 CNRS Université Paris Dauphine, France CSIRO Preventative Health National Research Flagship ICTC, The Australian e Health Research Centre BioMedIA, Royal Brisbane and Women s Hospital, Herston, QLD, Australia
    Int j numer method biomed eng 29:905-15. 2013
    ..Copyright © 2013 John Wiley & Sons, Ltd. ..
  26. doi request reprint An atlas-based electron density mapping method for magnetic resonance imaging (MRI)-alone treatment planning and adaptive MRI-based prostate radiation therapy
    Jason A Dowling
    Australian e Health Research Center, CSIRO ICT Commonwealth Scientific and Industrial Research Organisation Information and Communication Technologies Centre, Queensland, Australia
    Int J Radiat Oncol Biol Phys 83:e5-11. 2012
    ..The aim of this work was to develop an atlas-based method to map realistic electron densities to MRI scans for dose calculations and digitally reconstructed radiograph (DRR) generation...