SANDY A NAPEL

Summary

Affiliation: Stanford University
Country: USA

Publications

  1. ncbi request reprint Carotid disease: automated analysis with cardiac-gated three-dimensional US technique and preliminary results
    Sandy Napel
    Department of Radiology, Stanford University School of Medicine, Lucas Magnetic Resonance Imaging and Spectroscopy MRS Center P 287, Stanford, CA 94305 5488, USA
    Radiology 222:560-3. 2002
  2. pmc Automated retrieval of CT images of liver lesions on the basis of image similarity: method and preliminary results
    SANDY A NAPEL
    Department of Radiology, Stanford University School of Medicine, James H Clark Center S323, Stanford, CA 94305 5450, USA
    Radiology 256:243-52. 2010
  3. ncbi request reprint Automatic detection and classification of hypodense hepatic lesions on contrast-enhanced venous-phase CT
    Michel Bilello
    Department of Computer Science, Stanford University, Stanford, California 94305, USA
    Med Phys 31:2584-93. 2004
  4. pmc An improved algorithm for femoropopliteal artery centerline restoration using prior knowledge of shapes and image space data
    Tejas Rakshe
    Department of Electrical Engineering, 318 Campus Drive, James H Clark Center MC 5450, Stanford University, Stanford, California 94305, USA
    Med Phys 35:3372-82. 2008
  5. ncbi request reprint Registration of lung nodules using a semi-rigid model: method and preliminary results
    Shaohua Sun
    Department of Electrical Engineering and Department of Radiology, Stanford University, Stanford, California 94305, USA
    Med Phys 34:613-26. 2007
  6. ncbi request reprint Femoropopliteal artery centerline interpolation using contralateral shape
    David N Tran
    School of Medicine, Stanford University, Stanford, California 94305 5105, USA
    Med Phys 34:3428-35. 2007
  7. ncbi request reprint Curved-slab maximum intensity projection: method and evaluation
    Raghav Raman
    Department of Radiology, Stanford University School of Medicine, 300 Pasteur Drive, Stanford, CA 94305 5105, USA
    Radiology 229:255-60. 2003
  8. ncbi request reprint Targeted 2D/3D registration using ray normalization and a hybrid optimizer
    Joyoni Dey
    Department of Radiology, University of Massachusetts Medical School, Worcester, Massachusetts 01655, USA
    Med Phys 33:4730-8. 2006
  9. ncbi request reprint Semiautomated segmentation of blood vessels using ellipse-overlap criteria: method and comparison to manual editing
    Smadar Shiffman
    Department of Radiology, Stanford University, Stanford, California 94305 5488, USA
    Med Phys 30:2572-83. 2003
  10. pmc Identifying the human optic radiation using diffusion imaging and fiber tractography
    Anthony J Sherbondy
    Department of Electrical Engineering, Stanford University, Stanford, CA, USA
    J Vis 8:12.1-11. 2008

Research Grants

Detail Information

Publications36

  1. ncbi request reprint Carotid disease: automated analysis with cardiac-gated three-dimensional US technique and preliminary results
    Sandy Napel
    Department of Radiology, Stanford University School of Medicine, Lucas Magnetic Resonance Imaging and Spectroscopy MRS Center P 287, Stanford, CA 94305 5488, USA
    Radiology 222:560-3. 2002
    ..Data for all healthy volunteers (n = 8) and patients with complete occlusions (n = 3) were correctly classified. Data for two of the 12 patients with mild to severe (but not occlusive) disease were misclassified by one category...
  2. pmc Automated retrieval of CT images of liver lesions on the basis of image similarity: method and preliminary results
    SANDY A NAPEL
    Department of Radiology, Stanford University School of Medicine, James H Clark Center S323, Stanford, CA 94305 5450, USA
    Radiology 256:243-52. 2010
    ....
  3. ncbi request reprint Automatic detection and classification of hypodense hepatic lesions on contrast-enhanced venous-phase CT
    Michel Bilello
    Department of Computer Science, Stanford University, Stanford, California 94305, USA
    Med Phys 31:2584-93. 2004
    ..Initial implementations of our algorithms are promising for automating liver lesion detection and classification...
  4. pmc An improved algorithm for femoropopliteal artery centerline restoration using prior knowledge of shapes and image space data
    Tejas Rakshe
    Department of Electrical Engineering, 318 Campus Drive, James H Clark Center MC 5450, Stanford University, Stanford, California 94305, USA
    Med Phys 35:3372-82. 2008
    ....
  5. ncbi request reprint Registration of lung nodules using a semi-rigid model: method and preliminary results
    Shaohua Sun
    Department of Electrical Engineering and Department of Radiology, Stanford University, Stanford, California 94305, USA
    Med Phys 34:613-26. 2007
    ..d.), 1.1+/-0.7 mm (s.d.), 1.0+/-0.7 mm (s.d.), 1.0+/-0.6 mm (s.d.), and 1.1+/- 0.9 mm (s.d.) for the five cases, respectively. For the 97 nodule pairs in 12 patient scans, the mean absolute registration error was 1.4+/-0.8 mm (s.d.)...
  6. ncbi request reprint Femoropopliteal artery centerline interpolation using contralateral shape
    David N Tran
    School of Medicine, Stanford University, Stanford, California 94305 5105, USA
    Med Phys 34:3428-35. 2007
    ..13, which were almost always more accurate than the PCA algorithm. We conclude that the use of contralateral shape information, when available, is a promising method for the interpolation of centerlines through arterial occlusions...
  7. ncbi request reprint Curved-slab maximum intensity projection: method and evaluation
    Raghav Raman
    Department of Radiology, Stanford University School of Medicine, 300 Pasteur Drive, Stanford, CA 94305 5105, USA
    Radiology 229:255-60. 2003
    ..09 mm, without increasing processing time. Curved-slab MIPs may also include multiple vessels in a single image, thereby improving interpretation efficiency by reducing the number of MIPs required in these patients from eight to three...
  8. ncbi request reprint Targeted 2D/3D registration using ray normalization and a hybrid optimizer
    Joyoni Dey
    Department of Radiology, University of Massachusetts Medical School, Worcester, Massachusetts 01655, USA
    Med Phys 33:4730-8. 2006
    ..Another set of 50 random initial conditions from [+/-20] mm in x,y,z and [+/-10] deg in the three angles, yielded robustness of 84% (hybrid) versus 38% (Powell) using PI as metric, with accuracies 2.1 mm (hybrid) versus 2.0 mm (Powell)...
  9. ncbi request reprint Semiautomated segmentation of blood vessels using ellipse-overlap criteria: method and comparison to manual editing
    Smadar Shiffman
    Department of Radiology, Stanford University, Stanford, California 94305 5488, USA
    Med Phys 30:2572-83. 2003
    ....
  10. pmc Identifying the human optic radiation using diffusion imaging and fiber tractography
    Anthony J Sherbondy
    Department of Electrical Engineering, Stanford University, Stanford, CA, USA
    J Vis 8:12.1-11. 2008
    ..We find that the anterior tip of Meyer's loop is 28 +/- 3 mm posterior to the temporal pole, and the population range is 1 cm. Hence, it is important to identify the location of this bundle in individual subjects or patients...
  11. ncbi request reprint Transparent rendering of intraluminal contrast for 3D polyp visualization at CT colonography
    Rong Shi
    Department of Radiology, Stanford University Medical Center, CA, USA
    J Comput Assist Tomogr 31:773-9. 2007
    ..This method offers an alternative way to visualize tagged CT colonography...
  12. pmc Uncluttered single-image visualization of the abdominal aortic vessel tree: method and evaluation
    Joong Ho Won
    Department of Electrical Engineering and Department of Health Research and Policy, Stanford University, Stanford, California 94305, USA
    Med Phys 36:5245-60. 2009
    ..The authors develop a method to visualize the abdominal aorta and its branches, obtained by CT or MR angiography, in a single 2D stylistic image without overlap among branches...
  13. ncbi request reprint Flattening the abdominal aortic tree for effective visualization
    Joong Ho Won
    Dept of Electr Eng, Stanford Univ, CA 94305, USA
    Conf Proc IEEE Eng Med Biol Soc 1:3345-8. 2006
    ..The method can be used to convey clinical findings, including lumen patency and lesion locations, in a single two-dimensional image...
  14. ncbi request reprint Rotational roadmapping: a new image-based navigation technique for the interventional room
    Markus Kukuk
    Siemens Medical Solutions, Forchheim, Germany
    Med Image Comput Comput Assist Interv 10:636-43. 2007
    ....
  15. doi request reprint Improved speed of bone removal in computed tomographic angiography using automated targeted morphological separation: method and evaluation in computed tomographic angiography of lower extremity occlusive disease
    Raghav Raman
    Department of Radiology, Stanford University School of Medicine, Stanford, CA 94305, USA
    J Comput Assist Tomogr 32:485-91. 2008
    ..Image quality was equivalent to manual methods. It shows promise as a tool for fast and accurate postprocessing of computed tomographic angiograms...
  16. doi request reprint Computer-aided detection (CAD) of lung nodules in CT scans: radiologist performance and reading time with incremental CAD assistance
    Justus E Roos
    Department of Radiology, Stanford University Medical Center, 300 Pasteur Drive, Room S 072, Stanford, CA 94305 5105, USA
    Eur Radiol 20:549-57. 2010
    ..The diagnostic performance of radiologists using incremental CAD assistance for lung nodule detection on CT and their temporal variation in performance during CAD evaluation was assessed...
  17. doi request reprint Lower extremity CT angiography (CTA): initial evaluation of a knowledge-based centerline estimation algorithm for femoro-popliteal artery (FPA) occlusions
    Justus E Roos
    Department of Radiology, Stanford University Medical Center, 300 Pasteur Drive, Room S 072, Stanford, CA 94305 5105, USA
    Acad Radiol 16:646-53. 2009
    ..We aimed to quantitatively and qualitatively assess the precision of a knowledge-based centerline-extraction algorithm in patients with occluded femoro-popliteal artery (FPA)...
  18. pmc ConTrack: finding the most likely pathways between brain regions using diffusion tractography
    Anthony J Sherbondy
    Department of Electrical Engineering, Stanford University, Stanford, CA, USA
    J Vis 8:15.1-16. 2008
    ..Further we show that separating sampling and scoring enables ConTrack to identify valid pathways, known to exist, that are missed by other deterministic and probabilistic DFT algorithms...
  19. pmc Automated quantification of aortoaortic and aortoiliac angulation for computed tomographic angiography of abdominal aortic aneurysms before endovascular repair: preliminary study
    Bhargav Raman
    Department of Radiology, Stanford University School of Medicine, Stanford, CA 94305, USA
    J Vasc Interv Radiol 21:1746-50. 2010
    ..05). This algorithm was also faster than manual methods and has the potential to enhance the clinical utility and reliability of computed tomographic angiography for preoperative assessment for EVAR...
  20. pmc Knowledge-based interpolation of curves: application to femoropopliteal arterial centerline restoration
    Tejas Rakshe
    Department of Electrical Engineering, 318 Campus Drive, James H Clark Center, MC 5450, S 355, Stanford University, Stanford, CA 94305, USA
    Med Image Anal 11:157-68. 2007
    ..The results were consistently better than those using the MMSE method. Multivariate regression analysis found that OL and the root-mean-square error in the 2 cm proximal and distal to the occlusion accounted for most of the error...
  21. ncbi request reprint Edge displacement field-based classification for improved detection of polyps in CT colonography
    Burak Acar
    Department of Radiology, Lucas MRS Center, 3D Laboratory, Stanford University, Stanford, CA 94305, USA
    IEEE Trans Med Imaging 21:1461-7. 2002
    ..The mean specificity over all experiments increased from 0.19 (0.35) to 0.47 (0.56) for a sensitivity of 1.00 (0.95)...
  22. ncbi request reprint CT colonography: does improved z resolution help computer-aided polyp detection?
    Padmavathi Sundaram
    Department of Electrical Engineering, Stanford University, Stanford, California 94305, USA
    Med Phys 30:2663-74. 2003
    ..For detection of polyps 10 mm and larger, reconstruction of 5 mm sections may be sufficient. Further study is required to generalize these results to a broader population of patients scanned on different scanners...
  23. ncbi request reprint Surface normal overlap: a computer-aided detection algorithm with application to colonic polyps and lung nodules in helical CT
    David S Paik
    Department of Radiology, Stanford University, Stanford, CA 94305 5450, USA
    IEEE Trans Med Imaging 23:661-75. 2004
    ..It is able to achieve 100% sensitivity for colonic polyps 10 mm and larger at 7.0 false positives (FPs)/dataset and 90% sensitivity for solid lung nodules 6 mm and larger at 5.6 FP/dataset...
  24. ncbi request reprint Pulmonary nodules on multi-detector row CT scans: performance comparison of radiologists and computer-aided detection
    Geoffrey D Rubin
    Department of Radiology, Stanford University School of Medicine, 300 Pasteur Drive, S 072, Stanford, CA 94305 5105, USA
    Radiology 234:274-83. 2005
    ..To compare the performance of radiologists and of a computer-aided detection (CAD) algorithm for pulmonary nodule detection on thin-section thoracic computed tomographic (CT) scans...
  25. ncbi request reprint Registration of central paths and colonic polyps between supine and prone scans in computed tomography colonography: pilot study
    Ping Li
    Department of Statistics, Stanford University, Stanford, California 94305, USA
    Med Phys 31:2912-23. 2004
    ..With polyp registration, the average number of comparisons was 1.78 per polyp, as opposed to 4.28 comparisons without polyp registration...
  26. ncbi request reprint "Flying through" and "flying around" a PET/CT scan: Pilot study and development of 3D integrated 18F-FDG PET/CT for virtual bronchoscopy and colonoscopy
    Andrew Quon
    Molecular Imaging Program at Stanford, Department of Radiology and Bioengineering, Stanford University, Stanford, California 94305 5281, USA
    J Nucl Med 47:1081-7. 2006
    ..quot;..
  27. ncbi request reprint Alternative input devices for efficient navigation of large CT angiography data sets
    Anthony J Sherbondy
    Radiology 3D Laboratory, James H Clark Center, Stanford University School of Medicine, 318 Campus Dr, Rm S323, Stanford, CA 94305 5450, USA
    Radiology 234:391-8. 2005
    ..To compare devices for the task of navigating through large computed tomographic (CT) data sets at a picture archiving and communication system workstation...
  28. ncbi request reprint CT colonography: influence of 3D viewing and polyp candidate features on interpretation with computer-aided detection
    Rong Shi
    Department of Radiology, Stanford University Medical Center, James H Clark Center, 318 Campus Dr, Room S324, Stanford, CA 94305 5450, and Veterans Affairs Palo Alto Health Care System, Palo Alto, CA, USA
    Radiology 239:768-76. 2006
    ....
  29. ncbi request reprint An abdominal aortic aneurysm segmentation method: level set with region and statistical information
    Feng Zhuge
    Department of Electrical Engineering, Stanford University, Stanford, California 94305, USA
    Med Phys 33:1440-53. 2006
    ..This preliminary study proves feasibility for an accurate, precise, and robust system for segmentation of the abdominal aneurysm from CTA data, and may be of benefit to patients with aortic aneurysms...
  30. doi request reprint Semiautomated quantification of the mass and distribution of vascular calcification with multidetector CT: method and evaluation
    Raghav Raman
    Department of Radiology, Stanford University School of Medicine, 300 Pasteur Dr, S 072B, Stanford, CA 94305, USA
    Radiology 247:241-50. 2008
    ..3 mg. Accurate quantification of mass and distribution of calcification in simulated arteries with this method can be applied in vivo, with low interscan variability...
  31. ncbi request reprint Computed tomography colonography: feasibility of computer-aided polyp detection in a "first reader" paradigm
    Aravind Mani
    Department of Radiology, Stanford University Medical Center, and Stanford Medical School, CA 94305, USA
    J Comput Assist Tomogr 28:318-26. 2004
    ..To determine the feasibility of a computer-aided detection (CAD) algorithm as the "first reader" in computed tomography colonography (CTC)...
  32. doi request reprint Dual-energy CT discrimination of iodine and calcium: experimental results and implications for lower extremity CT angiography
    David N Tran
    School of Medicine, Stanford University Medical Center, Stanford, CA 94305 5105, USA
    Acad Radiol 16:160-71. 2009
    ....
  33. ncbi request reprint Quantification of distention in CT colonography: development and validation of three computer algorithms
    Peter W Hung
    Department of Radiology, Stanford University Medical Center, MC 5105, 300 Pasteur Dr, Stanford, CA 94305, USA
    Radiology 222:543-54. 2002
    ..Clinical feasibility was demonstrated. Depending on the desired spatial resolution and accuracy, each algorithm can quantitatively depict colonic diameter in CT colonography...
  34. ncbi request reprint A directional distance aided method for medical image segmentation
    Feng Zhuge
    Department of Electrical Engineering, Stanford University, Stanford, California 94305, USA
    Med Phys 34:4962-76. 2007
    ....
  35. ncbi request reprint Can low-dose unenhanced multidetector CT be used for routine evaluation of suspected renal colic?
    Douglas S Katz
    Department of Radiology, Winthrop University Hospital, 259 First St, Mineola, NY 11501, USA
    AJR Am J Roentgenol 180:313-5. 2003
  36. ncbi request reprint Automated generation of curved planar reformations from volume data: method and evaluation
    Raghav Raman
    Department of Radiology, Stanford University School of Medicine, 300 Pasteur Dr, S 072B, Stanford, CA 94305 5105, USA
    Radiology 223:275-80. 2002
    ..Automatic methods rapidly produce curved planar reformations of equivalent quality with reduced time and effort...

Research Grants4

  1. Efficient Interpretation of 3D Vascular Image Data
    Sandy Napel; Fiscal Year: 2005
    ..Our overall goal is to change and validate the way crosssectional images are interpreted in general, thus resulting in improved accuracy and efficiency in the assessment of increasingly large volumes of medical image data. ..