Markov Random Field Segmentation of Brain MR Images

Details Markov Random Field Segmentation of Brain MR Images Markov Random Field Segmentation of Brain MR Images

2009-03-18

arxiv.org/abs/0903.3114v1

IEEE Trans. Med. Imag. vol. 16, p. 878 (1997)

Computer Science

Computer Vision and Pattern Recognition

34 pages, 10 figures; the paper (published in 1997) has introduced the concept of Markov random field to the segmentation of m

Scientific paper

10.1109/42.650883

We describe a fully-automatic 3D-segmentation technique for brain MR images. Using Markov random fields the segmentation algorithm captures three important MR features, i.e. non-parametric distributions of tissue intensities, neighborhood correlations and signal inhomogeneities. Detailed simulations and real MR images demonstrate the performance of the segmentation algorithm. The impact of noise, inhomogeneity, smoothing and structure thickness is analyzed quantitatively. Even single echo MR images are well classified into gray matter, white matter, cerebrospinal fluid, scalp-bone and background. A simulated annealing and an iterated conditional modes implementation are presented. Keywords: Magnetic Resonance Imaging, Segmentation, Markov Random Fields

Affiliated with

Also associated with

No associations

Rating

Markov Random Field Segmentation of Brain MR Images does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Markov Random Field Segmentation of Brain MR Images, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Markov Random Field Segmentation of Brain MR Images will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-401410