Tracking points in sequence of arteries in cineangiography

Ana Cristina dos Santos; Sergio Shiguemi Furuie; Julio C. B. Figueiredo

doi:10.1117/12.428171

21 May 2001 Tracking points in sequence of arteries in cineangiography

Ana Cristina dos Santos, Sergio Shiguemi Furuie, Julio C. B. Figueiredo

Proceedings Volume 4321, Medical Imaging 2001: Physiology and Function from Multidimensional Images; (2001) https://doi.org/10.1117/12.428171
Event: Medical Imaging 2001, 2001, San Diego, CA, United States

Abstract

The objective of this work is to estimate correspondence of points between central curves of coronary in successive frames. The main difficulty is related to tracking points of open curves without fixing any point. A direct application is in the estimation of coronary blood flow using cineangiographic images. Given two consecutive frames and assuming that the central curves (skeletons) of the same artery have been determined, the problem is to find a mapping of the curve points. The proposed approach is based on global minimization of a cost function that involves mapping points of a reference curve to a target one. The cost function encompasses local displacement vector and curvature. The minimization is carried out using dynamic programming and is applied on simulated data and conventional X-ray cineangiographic images. For numerical simulations of coronary skeletons we used a reference curve and several distorted curves as target curves. The transformations were: translation, rotation, shear and a combination of these distortions. The evaluation took into account the root means squared error of matching. For all above mentioned cases, the error was below 0.7 pixel. For the case of actual X-ray angiographic images, the technique presented very good qualitative results.

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Ana Cristina dos Santos, Sergio Shiguemi Furuie, and Julio C. B. Figueiredo "Tracking points in sequence of arteries in cineangiography", Proc. SPIE 4321, Medical Imaging 2001: Physiology and Function from Multidimensional Images, (21 May 2001); https://doi.org/10.1117/12.428171

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KEYWORDS

X-rays

Arteries

Angiography

X-ray imaging

Computer programming

Blood circulation

Motion estimation

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