Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/519529
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dc.coverage.spatialDevelopment of an image processing pipeline for the extraction of white matter from MRI
dc.date.accessioned2023-10-22T05:12:14Z-
dc.date.available2023-10-22T05:12:14Z-
dc.identifier.urihttp://hdl.handle.net/10603/519529-
dc.description.abstractnewline 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
dc.format.extentxvii, 110 p.
dc.languageEnglish
dc.relationp. 104-109
dc.rightsuniversity
dc.titleDevelopment of an image processing pipeline for the extraction of white matter from MRI
dc.title.alternative
dc.creator.researcherVinurajkumar S
dc.subject.keywordBlockiness
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Information Systems
dc.subject.keywordEngineering and Technology
dc.subject.keywordMRI
dc.subject.keywordPMSFCA
dc.description.note
dc.contributor.guideAnandhavelu S
dc.publisher.placeChennai
dc.publisher.universityAnna University
dc.publisher.institutionFaculty of Information and Communication Engineering
dc.date.registered
dc.date.completed2022
dc.date.awarded2022
dc.format.dimensions21 cm.
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Faculty of Information and Communication Engineering

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01_title.pdfAttached File23.02 kBAdobe PDFView/Open
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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