Article on using Principal Component Analysis for modeling carpal bone displacement during wrist maneuvers is now published in the Journal of Biomechanics
Our research group is investigating techniques to quantify morphometric characteristics and motion of tissues employing in vivo imaging. The goals are two fold: (1) to allow a comparison across populations based on sex, age and other factors, in the context of disease, and (2) to allow the measurement of changes in tissue shape in conditions where such changes may occur because of the disease process or due to intervention. Applications include wrist instability, osteoarthritis, and neurodegenerative disorders.
Abhijit J. Chaudhari, Ph.D., Anand A. Joshi, Ph.D., Richard M. Leahy, Ph. D., Brent Foster, Ph.D.
National Institutes of Health and National Science Foundation
A. A. Joshi, R. M. Leahy, R. D. Badawi, and A. J. Chaudhari, Registration-based Bone Morphometry for Shape Analysis of the Bones of the Human Wrist. IEEE Transactions on Medical Imaging. 35(2): 416-426 (2016), PMCID: PMC4779077
B. Foster, A. A. Joshi, M. Borgese, Y. Abdelhafez, R. D. Boutin, and A. J. Chaudhari, WRIST – A WRist Image Segmentation Toolkit for Carpal Bone Delineation from MRI, Computerized Medical Imaging and Graphics; 63:31-40 (2018), PMCID: PMC5803471
B. Foster, C. B. Shaw, R. D. Boutin, C. O. Bayne, R. M. Szabo, A. A. Joshi, and A. J. Chaudhari, A Principal Component Analysis-based Framework for Statistical Modeling of Bone Displacement During Wrist Maneuvers, Journal of Biomechanics, 85, 173-181 (2019)
Interested in knowing more
Please contact Dr Chaudhari at ajchaudhari AT ucdavis DOT edu