Volumetric Analysis of Abnormal Region in MR Brain Images
Nikhil Gala1, Kamalakar Desai2, Deepak Patkar3
1Nikhil Gala, Department of Electronics & Telecommunication, Mukesh Patel School of Technology Management & Engineering, NMIMS University, Mumbai, India.
2Dr. Kamalakar Desai, Academic and Technical Advisor, Guru Gobind Singh College of Engineering & Research Centre Nashik, India.
3Dr. Deepak Patkar, Director Medical Services, Head –Department of Imaging, Nanavati Super Speciality Hospital, Mumbai, India.
Manuscript received on September 23, 2019. | Revised Manuscript received on October 15, 2019. | Manuscript published on October 30, 2019. | PP: 5129-5137 | Volume-9 Issue-1, October 2019 | Retrieval Number: A1526109119/2019©BEIESP | DOI: 10.35940/ijeat.A1526.109119
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: MRI is known as one of the best imaging modality used for neuro image analysis. Detection of abnormality regions in Brain image is critical due to its complex structure, which can be accurately analyzed with MRI. Several methods and segmentation algorithms have been proposed in the past to extract the abnormal region however there is further scope of increasing the segmentation efficiency. In this work abnormality region in brain is extracted with region based and edge based hybrid segmentation methods and thus obtained region is rendered for volumetric analysis. This analysis is used for depth measurement and localization of abnormal region accurately. Apart from this analysis mainly provides the information about the abnormal region distribution and its connectivity with other regions.
Keywords: Volumetric analysis, abnormal region extraction, segmentation, rendering.