4D-PARSeR (Pathological Anatomy Regression via Segmentation and Registration) is a tool for analyzing 4D images with pathology. Originally developed for processing longitudinal images of patients with traumatic brain injury. The tool contains new image analysis algorithms that combine registration and segmentation in a coherent framework, accounting for extreme changes due to extensive tissue damage.
Funding: This work is part of the National Alliance for Medical Image *
Computing (NAMIC), funded by the National Institutes of Health *
through the NIH Roadmap for Medical Research, Grant U54 EB005149.