Title:
Brain MRI T₁-Map and T₁-weighted Image Segmentation in a Variational Framework
Brain MRI T₁-Map and T₁-weighted Image Segmentation in a Variational Framework
Author(s)
Cheng, Ping-Feng
Steen, R.Grant
Yezzi, Anthony
Krim, Hamid
Steen, R.Grant
Yezzi, Anthony
Krim, Hamid
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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.
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Date Issued
2009-06
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Proceedings