A Measure of Voxel Similarity for Improving the Image-Based Quantification of Tissue Structure and Function

Released on by Jeremy David Page Hoisak
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  • A Measure of Voxel Similarity for Improving the Image-Based Quantification of Tissue Structure and Function Book Detail

  • Author : Jeremy David Page Hoisak
  • Release Date : 2012
  • Publisher :
  • Genre :
  • Pages :
  • ISBN 13 : 9780494973448
  • File Size : 56,56 MB
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A Measure of Voxel Similarity for Improving the Image-Based Quantification of Tissue Structure and Function by Jeremy David Page Hoisak PDF Summary

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Linear-fitting-based Similarity Coefficient Map for Tissue Dissimilarity Analysis in -w Magnetic Resonance Imaging *Project Supported in Part by the National High Technology Research and Development Program of China (Grant Nos. 2015AA043203 and 2012AA02A604), the National Natural Science Foundation of China (Grant Nos. 81171402, 61471349, and 81501463), the Innovative Research Team Program of Guangdong Province, China (Grant No. 2011S013), the Science and Technological Program for Higher Education, Science and Research, and Health Care Institutions of Guangdong Province, China (Grant No. 2011108101001), the Natural Science Foundation of Guangdong Province, China (Grant No. 2014A030310360), the Fundamental Research Program of Shenzhen City, China (Grant No. JCYJ20140417113430639), and Beijing Center for Mathematics and Information Interdisciplinary Sciences, China

Linear-fitting-based Similarity Coefficient Map for Tissue Dissimilarity Analysis in -w Magnetic Resonance Imaging *Project Supported in Part by the National High Technology Research and Development Program of China (Grant Nos. 2015AA043203 and 2012AA02A604), the National Natural Science Foundation of China (Grant Nos. 81171402, 61471349, and 81501463), the Innovative Research Team Program of Guangdong Province, China (Grant No. 2011S013), the Science and Technological Program for Higher Education, Science and Research, and Health Care Institutions of Guangdong Province, China (Grant No. 2011108101001), the Natural Science Foundation of Guangdong Province, China (Grant No. 2014A030310360), the Fundamental Research Program of Shenzhen City, China (Grant No. JCYJ20140417113430639), and Beijing Center for Mathematics and Information Interdisciplinary Sciences, China

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Abstract: Similarity coefficient mapping (SCM) aims to improve the morphological evaluation of weighted magnetic resonance imaging However, how to interpret the