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Automatic evaluation of vessel diameter variation from 2D X-ray angiography

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M’hiri, Faten and Duong, Luc and Desrosiers, Christian and Dahdah, Nagib and Miró, Joaquim and Cheriet, Mohamed. 2017. « Automatic evaluation of vessel diameter variation from 2D X-ray angiography ». International Journal of Computer Assisted Radiology and Surgery, vol. 12, nº 11. pp. 1867-1876.

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Duong L 2017 15676 Automatic evaluation of vessel diameter.pdf - Accepted Version
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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 0.18±0.31 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.

Item Type: Peer reviewed article published in a journal
Professor:
Professor
Duong, Luc
Desrosiers, Christian
Cheriet, Mohamed
Affiliation: Génie logiciel et des technologies de l'information, Génie logiciel et des technologies de l'information, Génie de la production automatisée
Date Deposited: 24 Aug 2017 13:34
Last Modified: 28 Nov 2018 19:43
URI: http://espace2.etsmtl.ca/id/eprint/15676

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