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Algorithms for the analysis of 3D magnetic resonance angiography images

Tizon, Xavier (2004). Algorithms for the analysis of 3D magnetic resonance angiography images. Diss. (sammanfattning/summary) Uppsala : Sveriges lantbruksuniv., Acta Universitatis Agriculturae Sueciae. Silvestria, 1401-6230 ; 316
ISBN 91-576-6700-4
[Doctoral thesis]

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Atherosclerosis is a disease of the arterial wall, progressively impairing blood flow as it spreads throughout the body. The heart attacks and strokes that result of this condition cause more deaths than cancer in industrial countries. Angiography refers to the group of imaging techniques used through the diagnosis, treatment planning and follow-up of atherosclerosis. In recent years, Magnetic Resonance Angiography (MRA) has shown promising abilities to supplant conventional, invasive, X-ray-based angiography. In order to fully benefit from this modality, there is a need for more objective and reproducible methods. This thesis shows, in two applications, how computerized image analysis can help define and implement these methods. First, by using segmentation to improve visualization of blood-pool contrast enhanced (CE)-MRA, with an additional application in coronary Computerized Tomographic Angiography. We show that, using a limited amount of user interaction and an algorithmic framework borrowed from graph theory and fuzzy logic theory, we can simplify the display of complex 3D structures like vessels. Second, by proposing a methodology to analyze the geometry of arteries in whole-body CE-MRA. The vessel centreline is extracted, and geometrical properties of this 3D curve are measured, to improve interpretation of the angiograms. It represents a more global approach than the conventional evaluation of atherosclerosis, as a first step towards screening for vascular diseases. We have developed the methods presented in this thesis with clinical practice in mind. However, they have the potential to be useful to other applications of computerized image analysis.

Authors/Creators:Tizon, Xavier
Title:Algorithms for the analysis of 3D magnetic resonance angiography images
Series Name/Journal:Acta Universitatis Agriculturae Sueciae. Silvestria
Year of publishing :September 2004
Number of Pages:76
ALLI. X. Tizon and Ö. Smedby. Segmentation with Grayscale Connectedness Can Separate Arteries and Veins in MRA; Journal of Magnetic Resonance Imaging, 15(4):438–45, 2002. II. A. Löfving, X. Tizon, A. Persson, and Ö. Smedby. Angiographic Visualization of the Coronary Arteries in Computed Tomography Angiography with Virtual Contrast Injection; to be submitted for journal publication, pending the addition of new patient material. III. E. Vidholm, X. Tizon, I. Nyström, and E. Bengtsson. Haptic Guided Seeding of MRA Images for Semi-Automatic Segmentation; Proceedings of the 2004 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Arlington, VA, USA, 15-18 April 2004, pages 288–291. IV. J. Kullberg, H. Frimmel, X. Tizon, L. Johansson, and H. Ahlström. Compensation for Geometrical Hardware- Induced Distortion in Contrast Enhanced Whole-Body Magnetic Resonance Angiography; augmented version of an abstract submitted to ESMRMB 2004. To be submitted for journal publication. V. X. Tizon, Q. Lin, T. Hansen, H. Frimmel, G. Borgefors, L. Johansson, and H. Ahlström. Identification of the Main Arterial Branches in Whole-Body Contrast-Enhanced MRA in Elderly Subjects Using Limited User Interaction and Fast Marching; submitted for journal publication. VI. X. Tizon, H. Frimmel, L. Johansson, and H. Ahlström. Objective Assessment of Vessel Geometry in 3D Whole-Body Contrast-Enhanced MRA; to be submitted for journal publication.
Place of Publication:Uppsala
ISBN for printed version:91-576-6700-4
Publication Type:Doctoral thesis
Full Text Status:Public
Agris subject categories.:U Auxiliary disciplines > U40 Surveying methods
Subjects:Not in use, please see Agris categories
Agrovoc terms:imagery, image analysis, radiography, arteriosclerosis, blood vessels, diagnosis, computer applications
Keywords:Contrast-Enhanced Magnetic Resonance Angiography, Computerized Tomographic Angiography, blood-pool agents, segmentation, fuzzy connectedness, fast marching, vesselness, atherosclerosis, shortest path, vascular analysis, Maximum Intensity Projection, curvature, torsion
Permanent URL:
ID Code:632
Department:(S) > Centrum för bildanalys (900701-031231?)
Deposited By: Xavier Tizon
Deposited On:22 Sep 2004 00:00
Metadata Last Modified:02 Dec 2014 10:06

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