DocumentCode :
2153135
Title :
Three-dimensional model-based stenosis quantification of the carotid arteries from contrast-enhanced MR angiography
Author :
Frangi, Alejandro F. ; Niessen, Wiro J. ; Nederkoorn, Paul J. ; Elgersma, Otto E H ; Viergever, Max A.
Author_Institution :
Image Sci. Inst., Utrecht Univ. Med. Center, Utrecht, Netherlands
fYear :
2000
fDate :
2000
Firstpage :
110
Lastpage :
118
Abstract :
A model-based technique for quantitative analysis of three-dimensional magnetic resonance angiography (MRA) is presented. The model consists of a deformable B-spline representation of the central vessel axis and the vessel wall. An efficient interaction mechanism to initialize the models in a three-dimensional setting is devised. Two novel image features are introduced in order to deform the central vessel axis and the vessel wall model respectively. A segmental optimization scheme for deforming the B-spline vessel wall model is introduced. Finally, the paper presents results on clinical contrast enhanced (CE) MRA of 19 carotid arteries. Percentages of stenosis obtained with the authors´ technique are compared to those of two experts using caliper measurements on Maximum Intensity Projection (MIP) CE MRA, and Digital Subtraction Angiography (DSA) as standard of reference
Keywords :
biomedical MRI; blood vessels; image enhancement; medical image processing; optimisation; physiological models; splines (mathematics); caliper measurements; carotid arteries; central vessel axis; contrast-enhanced MR angiography; deformable B-spline representation; digital subtraction angiography; efficient interaction mechanism; image features; maximum intensity projection; medical diagnostic imaging; model-based technique; segmental optimization scheme; three-dimensional model-based stenosis quantification; vessel wall; vessel wall model; Angiography; Biomedical imaging; Carotid arteries; Deformable models; Image reconstruction; Image segmentation; Magnetic resonance; Medical treatment; Spline; Visualization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mathematical Methods in Biomedical Image Analysis, 2000. Proceedings. IEEE Workshop on
Conference_Location :
Hilton Head Island, SC
Print_ISBN :
0-7695-0737-9
Type :
conf
DOI :
10.1109/MMBIA.2000.852367
Filename :
852367
Link To Document :
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