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Segmentation and Classification of Abdominal Aorta Aneurysm with CT Images
KTH, School of Information and Communication Technology (ICT).
2014 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

Aortic Aneurysm (AA) is usually called ‘silent killer’. It is usually asymptomatic before rupture. But the rupture could cause to death without immediate therapy. As a result of the feature, clinical diagnosis of AA is difficult. The most efficient and common way is CT scan which is a kind of anatomical medical imaging. It provides complete 3D information of body scanned which would provide great help for diagnosis and treatment. In the process of clinical diagnosis only few information has been used. Shandong provincial hospital recently shows interest in this area. They are eager to explore more useful information from these CT scans. Thus, the hospital cooperates with Shandong University to start research work on CT scans. The research work has two purposes. One is computer aided diagnosis and the other is to build a 3-D reconstruction model. The thesis work is segmentation and classification of Abdominal Aorta Aneurysm (AAA) CT images which is part of the project. In the thesis, the segmentation and classification of abdominal aorta aneurysm has been done for 10 series of CT slices. The experiment result is relatively good. Segmentation accuracy is 95% which is acceptable and the classification result is 100% for the 10 tested cases. It provides help for further data analysis of abdominal aorta and the 3-D model reconstruction.

Place, publisher, year, edition, pages
2014. , p. 60
Series
TRITA-ICT-EX ; 2014:206
Keywords [en]
Medical Image Segmentation, Abdominal Aortic Aneurysm (AAA), CT Images, Active Contour, Level set algorithm, Region grow
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-211505OAI: oai:DiVA.org:kth-211505DiVA, id: diva2:1129547
Subject / course
Information and Software Systems
Educational program
Master of Science - Software Engineering of Distributed Systems
Examiners
Available from: 2017-08-04 Created: 2017-08-04 Last updated: 2017-08-04Bibliographically approved

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Citation style
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  • Other locale
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Output format
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