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.
Wisse, L., Wang, H., Kujif, H., Geerlings MI, Yushkevich, PA: Automated hippocampal subfield segmentation at 7 tesla MRI. Americal Journal of Neuroradiology. American Society of Neuroradiology, 37(6): 1050-1057, Jun 2016 Notes: Accepted.
Contijoch, F.,Rogers, K., Rears, H., Shahid, M., Kellman, P., Gorman, J.,
Gorman, R.C., Yushkevich, P., Zado, E.S., Supple, G.E., Marchlinski, F.E.,
Witschey, W.R.T., Han, Y.: Quantification of left ventricular function with premature ventricular complexes reveals variable hemodynamics Circulation: Arrhythmia and Electrophysiology. Lippincott Williams and Wilkins, 9(4), Apr 2016.
Chen, Z., Zhang, H., Yushkevich, P.A., Liu, M., Beaulieu, C.
: Maturation along white matter tracts in human brain using a diffusion tensor surface model tract-specific analysis Frontiers in Neuroanatomy. Frontiers Research Foundation, 10, Feb 2016 Notes: Open Access.
Bouma, W., Lai, E.K., Levack, M.M., Shang, E.K., Pouch, A.M., Eperjesi, T.J., Plappert, T.J., Yushkevich, P.A., Mariani, M.A., Khabbaz, K.R., Gleason, T.G., Mahmood, F., Acker, M.A., Woo, Y.J., Cheung, A.T.,
Jackson, B.M., Gorman, J.H., III, Gorman, R.C.: Preoperative Three-Dimensional Valve Analysis Predicts Recurrent Ischemic Mitral Regurgitation after Mitral Annuloplasty. Annals of Thoracic Surgery. Elsevier USA, 101(2): 567-575, Feb 2016.
Aggarwal, A., Pouch, A.M., Lai, E., Lesicko, J., Yushkevich, P.A.,
Gorman, J.H., Gorman, R.C., Sacks, M.S.: In-vivo heterogeneous functional and residual strains in human aortic valve leaflets Journal of Biomechanics. Elsevier, Ltd. 2016 Notes: In press.
Bouma, W., Lai, E.K., Levack, M.M., Shang, E.K., Pouch, A.M., Eperjesi, T.J., Plappert, T.J., Yushkevich, P.A., Mariani, M.A., Khabbaz, K.R. and Gleason, T.G.: Preoperative Three-Dimensional Valve Analysis Predicts Recurrent Ischemic Mitral Regurgitation After Mitral Annuloplasty. The Annals of thoracic surgery 101(2): 567-575, 2016.
Xie, L., Dolui, S., Das, S.R., Stockbower, G.E., Daffner, M., Rao, H.,
Yushkevich, P.A., Detre, J.A., Wolk, D.A.: A brain stress test: Cerebral perfusion during memory encoding in mild cognitive impairment NeuroImage: Clinical. Elsevier, Inc. 11: 388-397, 2016 Notes: Open Access.
Cash David M, Frost Chris, Iheme Leonardo O, Ünay Devrim, Kandemir Melek, Fripp Jurgen, Salvado Olivier, Bourgeat Pierrick, Reuter Martin, Fischl Bruce, Lorenzi Marco, Frisoni Giovanni B, Pennec Xavier, Pierson Ronald K, Gunter Jeffrey L, Senjem Matthew L, Jack Clifford R, Guizard Nicolas, Fonov Vladimir S, Collins D Louis, Modat Marc, Cardoso M Jorge, Leung Kelvin K, Wang Hongzhi, Das Sandhitsu R, Yushkevich Paul A, Malone Ian B, Fox Nick C, Schott Jonathan M, Ourselin Sebastien: Assessing atrophy measurement techniques in dementia: Results from the MIRIAD atrophy challenge. NeuroImage. Academic Press, Inc. 123: 149-164, Dec 2015.
Pouch, A.M., Tian, S., Takebe, M., Yuan, J., Gorman, R., Cheung, A.T., Wang, H., Jackson, B.M., Gorman, J.H., Gorman, R.C. and Yushkevich, P.A.: Medially constrained deformable modeling for segmentation of branching medial structures: Application to aortic valve segmentation and morphometry. Medical image analysis. Elsevier, 26(1): 217-231, Dec 2015.
Contijoch Francisco, Witschey Walter R T, Rogers Kelly, Rears Hannah, Hansen Michael, Yushkevich Paul, Gorman Joseph, Gorman Robert C, Han Yuchi: User-initialized active contour segmentation and golden-angle real-time cardiovascular magnetic resonance enable accurate assessment of LV function in patients with sinus rhythm and arrhythmias. Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance. BioMed Central, Ltd. 17: 37, May 2015.
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Last updated: 10/13/2016
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