Segmentation of Pathology in Tumor-Diseased Brains
الكلمات المفتاحية:
segmentation، Pathology، Tumor-Diseased Brains، magnetic resonance images، T2 FLAIR sequence، supra-tentorial lesions.الملخص
Automatic segmentation of multiple sclerosis lesions in magnetic resonance images remains a challenging task. In this study, we present a fully automatic method to extract lesions from multi-sequence MRI (T1, T2, T2 FLAIR, Proton Density) within an Expectation Maximization (EM) based probabilistic framework.
The method uses the available MRI sequences in a hierarchical, orderly manner. First, the T2 FLAIR sequence is used to generate a segmentation of supra-tentorial lesions. Then T2 and T1 lesion loads are computed, providing an insight into lesion structure
التنزيلات
Key Dates
منشور
2008-06-01
إصدار
القسم
Articles
الرخصة
هذا العمل مرخص بموجب Creative Commons Attribution 4.0 International License.
The Journal of Engineering and Sustainable Development is an open-access journal that all contents are free of charge. Articles of this journal are licensed under the terms of the Creative Commons Attribution International Public License CC-BY 4.0 (https://creativecommons.org/licenses/by/4.0/legalcode) that licensees are unrestrictly allowed to search, download, share, distribute, print, or link to the full texts of the articles, crawl them for indexing and reproduce any medium of the articles provided that they give the author(s) proper credits (citation). The journal allows the author(s) to retain the copyright of their published article.
Creative Commons-Attribution (BY) 
كيفية الاقتباس
Segmentation of Pathology in Tumor-Diseased Brains. (2008). مجلة الهندسة والتنمية المستدامة, 12(2), 101-110. https://jeasd.uomustansiriyah.edu.iq/index.php/jeasd/article/view/1669
