Semi-Automatic 3D Reconstruction of Atheroma Plaques from Intravascular Ultrasound Images Using an ad-hoc Algorithm

Javier Martínez (), Daniel Pérez-Palau, Myriam Cilla, Neus Garrido, Ana Larrañaga and Ignacio Pérez-Rey
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Javier Martínez: Centro de Investigación en Tecnoloxías, Enerxía e Procesos Industriais (CINTECX), Universidade de Vigo, Lagoas-Marcosende, s/n, 36310 Vigo, Spain
Daniel Pérez-Palau: Escuela Superior de Ingeniería y Tecnología, Universidad Internacional de La Rioja (UNIR), Avenida de la Paz, 137, 26006 Logroño, Spain
Myriam Cilla: Aragón Institute for Engineering Research (I3A), Universidad de Zaragoza, C/María de Luna s/n, 50018 Zaragoza, Spain
Neus Garrido: Institute for Multidisciplinary Mathematics, Universitat Politècnica de València, Camino de Vera s/n, 46022 Valencia, Spain
Ana Larrañaga: Centro de Investigación en Tecnoloxías, Enerxía e Procesos Industriais (CINTECX), Universidade de Vigo, Lagoas-Marcosende, s/n, 36310 Vigo, Spain
Ignacio Pérez-Rey: Grupo de Xestión Segura e Sostible de Recursos Minerais (XESSMin), Centro de Investigación en Tecnoloxías, Enerxía e Procesos Industriais (CINTECX), Universidade de Vigo, Lagoas-Marcosende, s/n, 36310 Vigo, Spain

Mathematics, 2023, vol. 11, issue 3, 1-14

Abstract: The occurrence of atheroma plaques in the arteries can eventually obstruct them, leading to diseases such as atherosclerosis, which can cause, among others, a myocardial infarction or a stroke. As a consequence, it is necessary to shorten the time spent in locating and reconstructing the atheroma plaque that can be developed in an artery. This localization is usually conducted manually from the contours located on the cross-sectional radiographs of the artery and then reconstructed by creating the volumes using different techniques. This paper presents a 3-D reconstruction of the atheroma plaque by applying an image processing algorithm ad-hoc developed in order to obtain the boundaries of the atheroma, from a set of intravascular ultrasound images. The advantage of the approach developed in this paper is that it can be implemented in common medical procedures, as an important complementary decision-support tool. By reconstructing the atheroma instead of the artery, this work provides a different approach to improve its location and treatment. Results presented herein can be implemented in machine-learning-based algorithms, able to predict the growth and extent of incipient atheroma plaques, which ultimately contribute to an early detection of this pathology.

Keywords: atheroma plaque; 3-D reconstruction; image processing; IVUS (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2023
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