Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/391345
Title: Development of techniques for Extraction of fetal brain from Magnetic resonance imaging MRI Scans and abnormality detection
Researcher: Durgadevi, P.
Guide(s): Vijayalakshmi,S.
Keywords: Computer Science
Engineering and Technology
Imaging Science and Photographic Technology
University: Galgotias University
Completed Date: 2022
Abstract: Segmentation of brain from fetal MRI is a relatively new field, with little work published on fully automatic processing. Automatic brain segmentation methods developed for MRI of newlineadult cannot be directly applied to study the developing fetal brain in utero, since the fetal newlinebrain is significantly different in terms of geometry as well as tissue morphology. In this newlinethesis, we have proposed three segmentation methods, to extract brain portion from the MRI newlineof human fetus and also estimate the volume of the fetal brain at different gestational week. newlineIn our first fetal brain extraction method, we first enhance the contrast of the boundary of newlinethin layers in fetal brain using brightness preserving bi-histogram equalization (BBHE). newlineNext, the region growing process is done by calculating the distance (D) between the center pixel and 8-neighbour pixels of the contrast-enhanced image. newline
Pagination: xvi,151
URI: http://hdl.handle.net/10603/391345
Appears in Departments:School of Computing Science and Engineering

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01_title.pdfAttached File12.74 kBAdobe PDFView/Open
02_declaration.pdf220.65 kBAdobe PDFView/Open
03_abstract.pdf124.63 kBAdobe PDFView/Open
04_acknowledgement.pdf7.86 kBAdobe PDFView/Open
05_table of contents.pdf137.27 kBAdobe PDFView/Open
06_list of figures.pdf16.5 kBAdobe PDFView/Open
07_list of tables.pdf121 kBAdobe PDFView/Open
08_list of abbreviations.pdf235.25 kBAdobe PDFView/Open
09_list of publications.pdf120.18 kBAdobe PDFView/Open
10_chapter 1.pdf267.48 kBAdobe PDFView/Open
11_chapter 2.pdf183.81 kBAdobe PDFView/Open
12_chapter 3.pdf386.83 kBAdobe PDFView/Open
13_chapter 4.pdf764.65 kBAdobe PDFView/Open
14_chapter 5.pdf231.98 kBAdobe PDFView/Open
15_chapter 6.pdf512.55 kBAdobe PDFView/Open
16_chapter 7.pdf627.08 kBAdobe PDFView/Open
17_chapter 8.pdf269.14 kBAdobe PDFView/Open
18_chapter 9.pdf338.24 kBAdobe PDFView/Open
19_references.pdf173.42 kBAdobe PDFView/Open
80_recommendation.pdf350.55 kBAdobe PDFView/Open
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