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Automatic segmentation of the abdominal Aorta from CT images: Automatic segmentation of the abdominal Aorta from CT images: an initial approach towards the aortic Aneurysm detection - Softcover
We present a new method for the segmentation and the detection of human Abdominal Aorta in CT images. Our method is divided into two parts. In the first part we estimate the position and the dimension of the aortic lumen using state-of-the-art object tracking techniques. The second part employs curve fitting methods in order to detect the boundaries of the aortic lumen with accuracy, based on the estimation of the first part. In particular, the proposed method uses the Kalman Filter to track the aortic cross-section in consecutive CT images. The observations needed by the Kalman procedure are extracted with the Circle Hough Transformation, based on the assumption that the morphological structure of the aortic cross-section is approximately a circle. A robust Level Set method is then applied to compensate the approximation error and efficiently estimate the cross-section. The algorithms and the mathematical tools developed during the project prove feasibility for an accurate and reliable method for the segmentation of the abdominal aorta from CT data, that in the future could be used to benefit patients with aortic aneurysms.
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Alexandra Koulouri graduated from the school of Electrical Eng., Aristotle Univ. of Thessaloniki(2007). She obtained her Msc degree(2007-08 IC London) in Signal Proc. and in 2008-09 she completed the postgraduate bioengineering program, titled “Medical Image Computing” at UCL.Currently, she is a phd student at IC working on Vector Field Tomography.
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- PublisherLAP LAMBERT Academic Publishing
- Publication date2011
- ISBN 10 3844397205
- ISBN 13 9783844397208
- BindingPaperback
- Number of pages72
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Automatic segmentation of the abdominal Aorta from CT images: Automatic segmentation of the abdominal Aorta from CT images: an initial approach towards the aortic Aneurysm detection
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Automatic segmentation of the abdominal Aorta from CT images
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Book Description Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -We present a new method for the segmentation and the detection of human Abdominal Aorta in CT images. Our method is divided into two parts. In the first part we estimate the position and the dimension of the aortic lumen using state-of-the-art object tracking techniques. The second part employs curve fitting methods in order to detect the boundaries of the aortic lumen with accuracy, based on the estimation of the first part. In particular, the proposed method uses the Kalman Filter to track the aortic cross-section in consecutive CT images. The observations needed by the Kalman procedure are extracted with the Circle Hough Transformation, based on the assumption that the morphological structure of the aortic cross-section is approximately a circle. A robust Level Set method is then applied to compensate the approximation error and efficiently estimate the cross-section. The algorithms and the mathematical tools developed during the project prove feasibility for an accurate and reliable method for the segmentation of the abdominal aorta from CT data, that in the future could be used to benefit patients with aortic aneurysms. 72 pp. Englisch. Seller Inventory # 9783844397208
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Automatic segmentation of the abdominal Aorta from CT images Automatic segmentation of the abdominal Aorta from CT images an initial approach towards the aortic Aneurysm detection
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Automatic segmentation of the abdominal Aorta from CT images : Automatic segmentation of the abdominal Aorta from CT images: an initial approach towards the aortic Aneurysm detection
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Book Description Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - We present a new method for the segmentation and the detection of human Abdominal Aorta in CT images. Our method is divided into two parts. In the first part we estimate the position and the dimension of the aortic lumen using state-of-the-art object tracking techniques. The second part employs curve fitting methods in order to detect the boundaries of the aortic lumen with accuracy, based on the estimation of the first part. In particular, the proposed method uses the Kalman Filter to track the aortic cross-section in consecutive CT images. The observations needed by the Kalman procedure are extracted with the Circle Hough Transformation, based on the assumption that the morphological structure of the aortic cross-section is approximately a circle. A robust Level Set method is then applied to compensate the approximation error and efficiently estimate the cross-section. The algorithms and the mathematical tools developed during the project prove feasibility for an accurate and reliable method for the segmentation of the abdominal aorta from CT data, that in the future could be used to benefit patients with aortic aneurysms. Seller Inventory # 9783844397208
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Automatic segmentation of the abdominal Aorta from CT images Automatic segmentation of the abdominal Aorta from CT images an initial approach towards the aortic Aneurysm detection
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Automatic segmentation of the abdominal Aorta from CT images
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Book Description Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Koulouri AlexandraAlexandra Koulouri graduated from the school of Electrical Eng., Aristotle Univ. of Thessaloniki(2007). She obtained her Msc degree(2007-08 IC London) in Signal Proc. and in 2008-09 she completed the postgraduate bi. Seller Inventory # 5477188
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