Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/519529
Title: Development of an image processing pipeline for the extraction of white matter from MRI
Researcher: Vinurajkumar S
Guide(s): Anandhavelu S
Keywords: Blockiness
Computer Science
Computer Science Information Systems
Engineering and Technology
MRI
PMSFCA
University: Anna University
Completed Date: 2022
Abstract: newline On 100 test images, the acuity of the output images of the two-way diffusion, Adaptive Bilateral Filter (ABF), AKTV and LASKR, measured with the help of Maximum Local Variation (MLV) sharpness metric are 0.0634 ± 0.0041, 0.1218 ± 0.0213, 0.1263 ± 0.0368 and 0.1685 ± 0.0163. Standard Deviation (SD) of noise measured from the output images are 0.0676 ± 0.0158, 1.8654 ± 0.6203, 0.6285 ± 0.2140 and 0.4939 ± 0.2951. On100 low-field MRI slices used for performance assessment, the FCET exhibited Visual Information Fidelity (VIF) scores of 1.3340±0.2764 which is higher than those exhibited by ten state-of-the-art image contrast enhancement algorithms. On 100 MRI slices the Dice Similarity Index (DSI) shown by the Enhanced Fuzzy Segmentation Framework (EFSF), Modified FCM based on Double Estimation (MFCMDE), Spatial FCM (SFCM), Weighted SFCM (WSFCM), and PMSFCA in order are 0.7747 ± 0.0357, 0.38435 ± 0.246, 0.6212 ± 0.3655, 0.4207 ± 0.2784, 0.8300 ± 0.0158
Pagination: xvii, 110 p.
URI: http://hdl.handle.net/10603/519529
Appears in Departments:Faculty of Information and Communication Engineering

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02_prelim_pages.pdf564.75 kBAdobe PDFView/Open
03_content.pdf7.6 kBAdobe PDFView/Open
04_abstract.pdf8.51 kBAdobe PDFView/Open
05_chapter 1.pdf109.71 kBAdobe PDFView/Open
06_chapter 2.pdf1.28 MBAdobe PDFView/Open
07_chapter 3.pdf2.48 MBAdobe PDFView/Open
08_chapter 4.pdf494.29 kBAdobe PDFView/Open
09_annexures.pdf65.84 kBAdobe PDFView/Open
80_recommendation.pdf73.88 kBAdobe PDFView/Open
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