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colorization and automated segmentation of human t2 mr brain images for characterization of soft tissues彩色显示和自动分割的人类t2软组织的大脑图像表征先生
Colorization and Automated Segmentation of Human T2 MR Brain Images for Characterization of Soft Tissues 1 1 2 2 1 Muhammad Attique , Ghulam Gilanie , Hafeez-Ullah *, Malik S. Mehmood , Muhammad S. Naweed , 2 3 4,5 Masroor Ikram , Javed A. Kamran , Alex Vitkin 1 Department of Computer Science and Information Technology, The Islamia University of Bahawalpur, Bahawalpur, Punjab, Pakistan, 2 Department of Physics and Applied Mathematics, Pakistan Institute of Engineering and Applied Sciences, Nilore, Islamabad, Pakistan, 3 Department of Radiology and Diagnostic Images, Bahawal Victoria Hospital, Bahawalpur, Pakistan, 4 Department of Medical Biophysics and Radiation Oncology, University of Toronto, Toronto, Ontario, Canada, 5 Division of Biophysics and Bioimaging, Ontario Cancer Institute/University Health Network, Toronto, Ontario, Canada Abstract Characterization of tissues like brain by using magnetic resonance (MR) images and colorization of the gray scale image has been reported in the literature, along with the advantages and drawbacks. Here, we present two independent methods; (i) a novel colorization method to underscore the variability in brain MR images, indicative of the underlying physical density of bio tissue, (ii) a segmentation method (both hard and soft segmentation) to characterize gray brain MR images. The segmented images are then transformed into color using the above-mentioned colorization method, yielding promising results for manual tracing. Our color transformation incorporates the voxel classification by matching the luminance of voxels of the source MR image and provid
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