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Perelman School of Medicine at the University of Pennsylvania Advanced Search

Paul A. Yushkevich, Ph.D.

Paul A. Yushkevich, Ph.D.

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Associate Professor of Radiology
Department: Radiology

Contact information
3600 Market St.
Suite 370
Philadelphia, PA 19104
Office: 703-593-8373
Lab: 215-349-8020
Education:
B.S. (Computer Science and Mathematics)
University of North Carolina at Charlotte, 1996.
M.S. (Computer Science)
University of North Carolina Chapel Hill, 2000.
Ph.D. (Computer Science)
University of North Carolina Chapel Hill, 2003.
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Description of Research Expertise

My research portfolio combines theoretical work on statistical shape characterization using a symmetry-based representation of shape with applied and translational research in multiple areas of biomedical image analysis. I am particularly interested in analysis techniques that are tailored to specific anatomical structures. My key work in this area involves automatic segmentation and morphometry of the hippocampal formation (HF) in magnetic resonance imaging (MRI). The HF plays a central role in memory function and is a site of early neurodegeneration in Alzheimer’s disease. In a broad effort to develop more detailed imaging-based biomarkers for Alzheimer’s disease, my team has developed a first of its kind detailed computational atlas of the HF from postmortem MRI microscopy. With NIH R01 funding, we are now integrating this atlas with histology, leveraging it for the analysis of the HF and its subfields in in vivo MRI, and evaluating MRI-derived subfield-specific as alternative imaging biomarkers in dementia. We recently published a pioneering technique for automatic segmentation of HF subfields in high-resolution, HF-focused T2-weighted in vivo MRI, showing excellent agreement with manual segmentation. Concurrently, we developed and evaluated a strategy for improving the accuracy of general-purpose segmentation techniques using machine learning as a corrective wrapper method. Other recent publications include a surface-based tract-specific strategy for diffusion MRI analysis, for which open-source software is currently being developed, and an automatic cardiac MRI segmentation method with an explicit prior on heart wall thickness.

Selected Publications

Pouch A M, Wang H, Takabe M, Jackson B M, Gorman J H, Gorman R C, Yushkevich P A, Sehgal C M: Fully automatic segmentation of the mitral leaflets in 3D transesophageal echocardiographic images using multi-atlas joint label fusion and deformable medial modeling. Medical image analysis 18(1): 118-29, Jan 2014.

Adler Daniel H, Pluta John, Kadivar Salmon, Craige Caryne, Gee James C, Avants Brian B, Yushkevich Paul A: Histology-derived volumetric annotation of the human hippocampal subfields in postmortem MRI. NeuroImage 84: 505-23, Jan 2014.

Pouch Alison M, Vergnat Mathieu, McGarvey Jeremy R, Ferrari Giovanni, Jackson Benjamin M, Sehgal Chandra M, Yushkevich Paul A, Gorman Robert C, Gorman Joseph H: Statistical assessment of normal mitral annular geometry using automated three-dimensional echocardiographic analysis. The Annals of thoracic surgery 97(1): 71-7, Jan 2014.

McMillan C, Powers J P, Massimo L, Yushkevich P A, Zhang H, Gee J C, Grossman M: White matter disease contributes to apathy and disinhibition in frontotemporal degeneration. Biological Psychiatry 2014 Notes: In Press.

PA Cook, PA Yushkevich, S Tian, S Luz, S Bhatnagar, JC Gee: Structure Specific Analysis of White and Gray Matter in the Rat Brain. International Society for Magnetic Resonance in Medicine 2014 Page: 4554, 2014.

Das S, Pluta J, Mancuso L, Kliot D, Yushkevich P, Wolk D: Anterior and Posterior MTL Networks in Aging and MCI. Neurobiology of Aging 2014 Notes: in press.

P. A. Yushkevich and H. Wang: Deformable Modeling Using a 3D Boundary Representation with Quadratic Constraints on the Branching Structure of the Blum Skeleton. Proc. Information Processing in Medical Imaging. Springer, Page: 280-291, 2013.

Wang Hongzhi, Yushkevich Paul A: Multi-atlas segmentation with joint label fusion and corrective learning-an open source implementation. Frontiers in neuroinformatics 7: 27, 2013.

H. Wang, A. Pouch, M. Takabe, B. Jackson, J. Gorman, R. Gorman, and P. A. Yushkevich: Multi-Atlas Segmentation with Robust Label Transfer and Label Fusion. Proc. Information Processing in Medical Imaging. Springer, 7917: 548-559, 2013.

Wang Hongzhi, Suh Jung W, Das Sandhitsu R, Pluta John, Craige Caryne, Yushkevich Paul A: Multi-Atlas Segmentation with Joint Label Fusion. IEEE transactions on pattern analysis and machine intelligence 35(3): 611-623, 2013.

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Last updated: 06/03/2014
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