Partial Volume Segmentation and Boundary Distance Estimation with Voxel Histograms

2009 ◽  
pp. 223-243
Author(s):  
D LAIDLAW
Keyword(s):  
Distance Estimation ◽  
Volume Segmentation ◽  
Partial Volume ◽  
Boundary Distance

scholarly journals A New Framework of Multiphase Segmentation and Its Application to Partial Volume Segmentation

2011 ◽  
Vol 2011 ◽  
pp. 1-11 ◽  
Author(s):  
Fuhua Chen ◽  
Yunmei Chen ◽  
Hemant D. Tagare
Keyword(s):  
Stochastic Theory ◽  
Transition Theory ◽  
Membership Functions ◽  
Mr Image ◽  
Volume Segmentation ◽  
Memory Space ◽  
Partial Volume ◽  
Constraint Problem ◽  
Multiphase Segmentation ◽  
New Framework

We proposed a novel framework of multiphase segmentation based on stochastic theory and phase transition theory. Our main contribution lies in the introduction of a constructed function so that its composition with phase function forms membership functions. In this way, it saves memory space and also avoids the general simplex constraint problem for soft segmentations. The framework is then applied to partial volume segmentation. Although the partial volume segmentation in this paper is focused on brain MR image, the proposed framework can be applied to any segmentation containing partial volume caused by limited resolution and overlapping.

Partial Volume Segmentation with Voxel Histograms

2000 ◽  
pp. 195-211 ◽  
Author(s):  
David H. Laidlaw ◽  
Kurt W. Fleischer ◽  
Alan H. Barr
Keyword(s):  
Volume Segmentation ◽  
Partial Volume

A Modified Probabilistic Neural Network for Partial Volume Segmentation in Brain MR Image

2007 ◽  
Vol 18 (5) ◽  
pp. 1424-1432 ◽  
Author(s):  
Tao Song ◽  
Mo M. Jamshidi ◽  
Roland R. Lee ◽  
Mingxiong Huang
Keyword(s):  
Neural Network ◽  
Probabilistic Neural Network ◽  
Mr Image ◽  
Volume Segmentation ◽  
Partial Volume
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