Faten M'hiri1, Luc Duong2, Christian Desrosiers2, Nagib Dahdah3, Joaquim Miró3, Mohamed Cheriet4. 1. Department of Software and IT Engineering, École de technologie supérieure, Montreal, Canada. faten.mhiri.1@ens.etsmtl.ca. 2. Department of Software and IT Engineering, École de technologie supérieure, Montreal, Canada. 3. Department of Cardiology, Sainte-Justine Hospital, Montreal, Canada. 4. Automated Production Engineering, École de technologie supérieure, Montreal, Canada.
Abstract
PURPOSE: Early detection of blood vessel pathologies can be made through the evaluation of functional and structural abnormalities in the arteries, including the arterial distensibility measure. We propose a feasibility study on computing arterial distensibility automatically from monoplane 2D X-ray sequences for both small arteries (such as coronary arteries) and larger arteries (such as the aorta). METHODS: To compute the distensibility measure, three steps were developed: First, the segment of an artery is extracted using our graph-based segmentation method. Then, the same segment is tracked in the moving sequence using our spatio-temporal segmentation method: the Temporal Vessel Walker. Finally, the diameter of the artery is measured automatically at each frame of the sequence based on the segmentation results. RESULTS: The method was evaluated using one simulated sequence and 4 patients' angiograms depicting the coronary arteries and three depicting the ascending aorta. Results of the simulated sequence achieved a Dice index of 98%, with a mean squared error in diameter measurement of [Formula: see text] mm. Results obtained from patients' X-ray sequences are consistent with manual assessment of the diameter by experts. CONCLUSIONS: The proposed method measures changes in diameter of a specific segment of a blood vessel during the cardiac sequence, automatically based on monoplane 2D X-ray sequence. Such information might become a key to help physicians in the detection of variations of arterial stiffness associated with early stages of various vasculopathies.
PURPOSE: Early detection of blood vessel pathologies can be made through the evaluation of functional and structural abnormalities in the arteries, including the arterial distensibility measure. We propose a feasibility study on computing arterial distensibility automatically from monoplane 2D X-ray sequences for both small arteries (such as coronary arteries) and larger arteries (such as the aorta). METHODS: To compute the distensibility measure, three steps were developed: First, the segment of an artery is extracted using our graph-based segmentation method. Then, the same segment is tracked in the moving sequence using our spatio-temporal segmentation method: the Temporal Vessel Walker. Finally, the diameter of the artery is measured automatically at each frame of the sequence based on the segmentation results. RESULTS: The method was evaluated using one simulated sequence and 4 patients' angiograms depicting the coronary arteries and three depicting the ascending aorta. Results of the simulated sequence achieved a Dice index of 98%, with a mean squared error in diameter measurement of [Formula: see text] mm. Results obtained from patients' X-ray sequences are consistent with manual assessment of the diameter by experts. CONCLUSIONS: The proposed method measures changes in diameter of a specific segment of a blood vessel during the cardiac sequence, automatically based on monoplane 2D X-ray sequence. Such information might become a key to help physicians in the detection of variations of arterial stiffness associated with early stages of various vasculopathies.
Authors: Naser Ahmadi; David Shavelle; Vahid Nabavi; Fereshteh Hajsadeghi; Shahin Moshrefi; Ferdinand Flores; Shahdad Azmoon; Song S Mao; Ramin Ebrahimi; Matthew Budoff Journal: J Cardiovasc Comput Tomogr Date: 2010-01-14
Authors: Sebastian Kelle; Allison G Hays; Glenn A Hirsch; Gary Gerstenblith; Julie M Miller; Angela M Steinberg; Michael Schär; John H Texter; Ernst Wellnhofer; Robert G Weiss; Matthias Stuber Journal: Am J Cardiol Date: 2011-05-31 Impact factor: 2.778