Anthony Sherbondy

[ Contact ]
450 Serra Mall
Room 490, Jordan Hall
Stanford, CA 94305

650.725.1952

anthony dot sherbondy at stanford dot edu

"Thinking is more interesting than knowing, but less interesting than looking." - J. W. von Goethe

I am a Ph.D. candidate in the Electrical Engineering Department at Stanford University.  My advisors are Sandy Napel and Brian Wandell. I am affiliated with the Stanford Vision Science and Neuroimaging Group and the Radiological Sciences Lab.

Before coming to Stanford, I graduated from Penn State University with a B.S. in Electrical Engineering with Honors and an M.S. in Electrical Engineering under the advisory of William Higgins in the Multidimensional Image Processing Lab.

My belief, that careful observation is the most powerful of scientific instruments, drives me to create software visualization and measurement tools that enable rapid and intuitive hypothesis/experiment cycles.

Neuroscience

I am currently focused on the development of techniques for the inference of connectivity between regions of the human brain as observed from Diffusion Tensor Imaging (DTI) data. I am carrying out this work with Dave Akers, Bob Dougherty, Pat Hanrahan, Michal Ben-Shachar, Brian Wandell and other researchers from Radiological Sciences Lab and the Neuroimaging group.

As a result of the research on probabilistic inference of connectivity in the brain, I have also begun investigating general questions about the sampling algorithms used for conducting this analysis with Art Owen and Sharad Goel from the Statistics and Math Departments.

Cardiovascular Imaging

Mike Houston, Sandy Napel and I considered highly interactive painting approaches for segmentation of anatomy of interest for the investigation of cardiovascular disease in medical images. The strength of our approach relied on the creation of a fast non-linear diffusion based seeded region growing algorithm that shared resources with a volume rendering engine, both of which we wrote for the GPU.

I have also investigated the use of commodity interface devices and new image browsing techniques for browsing cutting planes of large computed tomography (CT) volumes. I collaborated on this work with Sandy Napel, Djamila Holmlund, Terry Winograd and Geoff Rubin.

As one of my first projects at Stanford, I combined various standard visualization techniques to understand their utility for enhancing radiologist performance when interacting with a proposed computer automated detection system for lung nodules within CT volumes. I was advised by Geoff Rubin and Sandy Napel during this work.

Refereed Journal Papers

Anthony Sherbondy, David Akers, Rachel Mackenzie, Robert Dougherty, and Brian Wandell, "Exploring Connectivity of the Brain's White Matter with Dynamic Queries." IEEE Transactions on Visualization and Computer Graphics, Volume 11, Issue 4 (July 2005) pp. 419-430.

Anthony J. Sherbondy, Djamila Holmlund, Geoffrey D. Rubin, Pamela K. Schraedley, Terry Winograd and Sandy Napel, “Alternative Input Devices for Efficient Navigation of Large CTA Studies,” Radiology 234(2):391-398, 2005.

Geoffrey D. Rubin, John K. Lyo, David S. Paik, Anthony J. Sherbondy, Lawrence C. Chow, Ann N. Leung, Robert Mindelzun, Pamela K. Schraedley-Desmond, Steven E. Zinck, David P. Naidich and Sandy Napel, "Pulmonary Nodules in MDCT Scans: Impact of Computer-aided Detection,” Radiology 234(1):274-273, 2005.

Rod D. Swift, Attila P. Kiraly, Anthony J. Sherbondy, et al., “Automatic Axis Generation for Virtual Bronchoscopic Assessment of Major Airway Obstructions,” Computerized Medical Imaging and Graphics, vol. 26, no. 2, pp. 103-118, March-April 2002.

Geoffrey McLennan, James P. Helferty, Eric A. Hoffman, Anthony J. Sherbondy, J. Scott Ferguson, and William E. Higgins, ``Virtual-Endoscopic Guidance of Bronchoscopy:  Phantom Studies,'' submitted 13 October 2000, accepted 2 February 2002, Amer. J. Respiratory & Critical Care Med., page A777, vol. 16, no. 5, April 2001.

Refereed Conference Proceedings

David Akers, Anthony Sherbondy, Rachel Mackenzie, Robert Dougherty, and Brian Wandell, "Exploration of the Brain's White Matter Pathways with Dynamic Queries." Proceedings of IEEE Visualization 2004, pp. 377-384.

Anthony Sherbondy, Mike Houston, and Sandy Napel, "Fast Volume Segmentation with Simultaneous Visualization Using Programmable Graphics Hardware," Proceedings of IEEE Visualization 2003, pp. 23-30 .

James P. Helferty, Anthony J. Sherbondy, et al., ``Image-Guided Endoscopy for Lung-Cancer Assessment,'' IEEE Int. Conf. Image Processing, vol. II, pp. 307-310, 7-10 October 2001.

J.P. Helferty, A.J. Sherbondy, et al., “Experiments in Virtual-Endoscopy Guidance of Bronchoscopy,” SPIE Medical Imaging 2001: Physiology and Function from Multidimensional Images, A. Clough and C.T. Chen, eds., SPIE Proceedings vol. 4321, 2001.

Anthony J. Sherbondy, Atilla P. Kiraly, et al., “Virtual Bronchoscopic Approach for Combining 3D CT and Endoscopic Video,” SPIE Medical Imaging 2000: Physiology and Function from Multidimensional Images, A. Clough and C.T. Chen, eds., SPIE Proceedings vol. 3978, 2000.

Conference Abstracts and Posters

Sherbondy AJ, Akers DL, Dougherty RF, Ben-Shachar M, Napel S, Wandell BA, “MetroTrac: A Metropolis Algorithm for Probabilistic Tractography”, poster, Human Brain Mapping, Florence, June 2006.

Sherbondy AJ, Houston M, Napel S, "Interactively Guided Volumetric Segmentation Using Programmable Graphics Hardware," presented at the Radiological Society of North America 89th Scientific Sessions, November 2003.

Rubin GD, Naidich DP, Sherbondy AJ, Lyo JP, Napel S, "Inadequacy of Lung Nodule Reference Standard Based Upon Standard Methods of Expert Consensus Review Using Cine-paging of Transverse Thin-section MDCT Lung Scans," presented at the Radiological Society of North America 89th Scientific Sessions, November 2003.

Rubin GD, Lyo JP, Paik DS, Sherbondy AJ, Naidich DP, Napel S, "Impact of Computer-assisted Detection (CAD) Algorithm vs a Second Radiologist on Reader Sensitivity for Detecting Pulmonary Nodules in MDCT Scan," presented at theRadiological Society of North America 89th Scientific Sessions, November 2003.

William E. Higgins, Atilla P. Kiraly, et al., “Use Of Integrated Virtual-Bronchoscopic Analysis During Live Bronchoscopy,” Radiology, vol. 221 (P), pg. 719, November 2001.

W.E. Higgins, A.J. Sherbondy, et al., “Virtual Bronchoscopy for 3D CT Assessment and Endoscopic Guidance,” Radiology, vol. 217(P), page 706, Nov. 2000. 

DTIQuery - Software for exploring connectivity in human brain white matter using diffusion tensor imaging, tractography and dynamic query techniques

VISTASOFT - Tools for vision and imaging science. I have made several contributions to this toolkit and most notably to the DTI analysis tools.

Stanford University Radiology Framework (SURF) - Framework for rapid development of visualization applications for clinical study.

Fiber Shape Analysis - Software for performing clustering and shape analysis on potential neural pathways retrieved from tractography on diffusion tensor imaging data. This software was a class project for a course I took in applied multivariate analysis taught by John Kettenring. I won the book "An R and S-Plus Companion to Multivariate Analysis" by Everitt for this project.

Virtual Navigation Bronchoscopy Suite (VN) - Used for planning bronchoscopic procedures and guidance during bronchoscopy. Focused on a unique method for fusing acquired bronchoscopy video with previously acquired computed tomography images.