Brain MRI T₁-Map and T₁-weighted Image Segmentation in a Variational Framework

Loading...
Thumbnail Image
Author(s)
Cheng, Ping-Feng
Steen, R.Grant
Krim, Hamid
Advisor(s)
Editor(s)
Associated Organization(s)
Series
Supplementary to:
Abstract
In this paper we propose a constrained version of Mumford- Shah’s[1] segmentationwith an information-theoretic point of view[2] in order to devise a systematic procedure to segment brain MRI data for two modalities of parametric T₁-Map and T₁-weighted images in both 2-D and 3-D settings. The incorporation of a tuning weight in particular adds a probabilistic flavor to our segmentation method, and makes the three-tissue segmentation possible. Our method uses region based active contours which have proven to be robust. The method is validated by two real objects which were used to generate T₁- Maps and also by two simulated brains of T₁-weighted data from the BrainWeb[3] public database.
Sponsor
Date
2009-06
Extent
Resource Type
Text
Resource Subtype
Proceedings
Rights Statement
Rights URI