Literature DB >> 18222842

Partial volume tissue classification of multichannel magnetic resonance images-a mixel model.

H S Choi1, D R Haynor, Y Kim.   

Abstract

A single volume element (voxel) in a medical image may be composed of a mixture of multiple tissue types. The authors call voxels which contain multiple tissue classes mixels. A statistical mixel image model based on Markov random field (MRF) theory and an algorithm for the classification of mixels are presented. The authors concentrate on the classification of multichannel magnetic resonance (MR) images of the brain although the algorithm has other applications. The authors also present a method for compensating for the gray-level variation of MR images between different slices, which is primarily caused by the inhomogeneity of the RF field produced by the imaging coil.

Year:  1991        PMID: 18222842     DOI: 10.1109/42.97590

Source DB:  PubMed          Journal:  IEEE Trans Med Imaging        ISSN: 0278-0062            Impact factor:   10.048


  29 in total

1.  Novel whole brain segmentation and volume estimation using quantitative MRI.

Authors:  J West; J B M Warntjes; P Lundberg
Journal:  Eur Radiol       Date:  2011-11-24       Impact factor: 5.315

2.  Partial volume segmentation of brain magnetic resonance images based on maximum a posteriori probability.

Authors:  Xiang Li; Lihong Li; Hongbing Lu; Zhengrong Liang
Journal:  Med Phys       Date:  2005-07       Impact factor: 4.071

3.  An improved electronic colon cleansing method for detection of colonic polyps by virtual colonoscopy.

Authors:  Zigang Wang; Zhengrong Liang; Xiang Li; Lihong Li; Bin Li; Daria Eremina; Hongbing Lu
Journal:  IEEE Trans Biomed Eng       Date:  2006-08       Impact factor: 4.538

4.  Genetic algorithms for finite mixture model based voxel classification in neuroimaging.

Authors:  Jussi Tohka; Evgeny Krestyannikov; Ivo D Dinov; Allan MacKenzie Graham; David W Shattuck; Ulla Ruotsalainen; Arthur W Toga
Journal:  IEEE Trans Med Imaging       Date:  2007-05       Impact factor: 10.048

5.  Quantification and Segmentation of Brain Tissues from MR Images: A Probabilistic Neural Network Approach.

Authors:  Yue Wang; Tülay Adalý; Sun-Yuan Kung; Zsolt Szabo
Journal:  IEEE Trans Image Process       Date:  1998-08       Impact factor: 10.856

6.  Measurement of cortical thickness from MRI by minimum line integrals on soft-classified tissue.

Authors:  Iman Aganj; Guillermo Sapiro; Neelroop Parikshak; Sarah K Madsen; Paul M Thompson
Journal:  Hum Brain Mapp       Date:  2009-10       Impact factor: 5.038

7.  Using 3-D shape models to guide segmentation of MR brain images.

Authors:  K P Hinshaw; J F Brinkley
Journal:  Proc AMIA Annu Fall Symp       Date:  1997

8.  An EM approach to MAP solution of segmenting tissue mixture percentages with application to CT-based virtual colonoscopy.

Authors:  Su Wang; Lihong Li; Harris Cohen; Seth Mankes; John J Chen; Zhengrong Liang
Journal:  Med Phys       Date:  2008-12       Impact factor: 4.071

9.  An EM approach to MAP solution of segmenting tissue mixtures: a numerical analysis.

Authors:  Zhengrong Liang; Su Wang
Journal:  IEEE Trans Med Imaging       Date:  2009-02       Impact factor: 10.048

10.  Statistical validation of image segmentation quality based on a spatial overlap index.

Authors:  Kelly H Zou; Simon K Warfield; Aditya Bharatha; Clare M C Tempany; Michael R Kaus; Steven J Haker; William M Wells; Ferenc A Jolesz; Ron Kikinis
Journal:  Acad Radiol       Date:  2004-02       Impact factor: 3.173

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