Paper: | SA-AM-OS2.8 |
Session: | Image Segmentation and Shape Analysis |
Time: | Saturday, April 8, 12:10 - 12:30 |
Presentation: |
Oral
|
Title: |
Segmentation of Newborn Brain MRI |
Authors: |
Neil Weisenfeld; Brigham and Women's Hospital | | |
| Andrea Mewes; Brigham and Women's Hospital | | |
| Simon K. Warfield; Brigham and Women's Hospital | | |
Abstract: |
Segmenting neonatal brain images is challenging due to reduced MR signal-intensity contrast between tissues of interest compared to older subjects. In this paper we discuss a new strategy that we are currently employing in our neonatal brain studies and present the segmentation problem within a Bayesian framework. We show results validating this method and a previously published method from our group against a group of manually drawn segmentations. We achieve good-to-excellent results, on particularly challenging data, with greater speed and ease of use. |