Statistical Shape Analysis: From Landmarks to Diffeomorphisms
Author(s)Zhang, Miaomiao; Golland, Polina
MetadataShow full item record
© 2016 Elsevier B.V. We offer a blazingly brief review of evolution of shape analysis methods in medical imaging. As the representations and the statistical models grew more sophisticated, the problem of shape analysis has been gradually redefined to accept images rather than binary segmentations as a starting point. This transformation enabled shape analysis to take its rightful place in the arsenal of tools for extracting and understanding patterns in large clinical image sets. We speculate on the future developments in shape analysis and potential applications that would bring this mathematically rich area to bear on clinical practice.
DepartmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory; Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Medical Image Analysis
Zhang, M., and P. Golland. "Statistical Shape Analysis: From Landmarks to Diffeomorphisms." Med Image Anal 33 (2016): 155-8.
Author's final manuscript