A novel method for the design of convolutional gray-level templates for the automatic detection of coronary arteries

Ivan Cruz-Aceves; Fernando Cervantes-Sanchez; Arturo Hernández-Aguirre; Martha A. Hernández-González; Sergio Solorio-Meza

doi:10.1117/12.2542561

3 January 2020 A novel method for the design of convolutional gray-level templates for the automatic detection of coronary arteries

Ivan Cruz-Aceves, Fernando Cervantes-Sanchez, Arturo Hernández-Aguirre, Martha A. Hernández-González, Sergio Solorio-Meza

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Proceedings Volume 11330, 15th International Symposium on Medical Information Processing and Analysis; 113301B (2020) https://doi.org/10.1117/12.2542561
Event: 15th International Symposium on Medical Information Processing and Analysis, 2019, Medelin, Colombia

Abstract

This paper presents a novel method for the automatic design of convolutional gray-level templates for detecting coronary arteries in X-ray angiograms. The proposed method uses the metaheuristic of iterated local search (ILS) to address the high-dimensional problem (O(256ⁿ)) involved in the design of convolutional templates. This automatically generated template is convolved in the spatial domain at different orientations to form a directional filter bank in order to detect coronary arteries at different angular resolutions. The vessel detection results are compared with those obtained by four state-of-the-art vessel enhancement methods in terms of the area (A_z) under the receiver operating characteristic (ROC) curve. The proposed method achieved the highest detection results with A_z = 0.9405 using a training set of 50 angiograms. Moreover, the convolutional gray-level template obtained from the training step, it was directly evaluated with an independent test set of 50 X-ray angiograms obtaining an A_z = 0.9565, which is the highest performance according to the comparative analysis. In addition to the experimental results, the use of metaheuristics for designing convolutional gray-level templates obtains suitable results to be considered in systems that perform computer-aided diagnosis, and it also represents an encouraging area for future research.

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Ivan Cruz-Aceves, Fernando Cervantes-Sanchez, Arturo Hernández-Aguirre, Martha A. Hernández-González, and Sergio Solorio-Meza "A novel method for the design of convolutional gray-level templates for the automatic detection of coronary arteries", Proc. SPIE 11330, 15th International Symposium on Medical Information Processing and Analysis, 113301B (3 January 2020); https://doi.org/10.1117/12.2542561

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KEYWORDS

Arteries

Angiography

X-rays

Analytical research

Computer aided design

Computer aided diagnosis and therapy

Computing systems

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