Treffer: Semi-automatic 3D reconstruction of atheroma plaques from intravascular ultrasound images using an ad-hoc algorithm

Title:
Semi-automatic 3D reconstruction of atheroma plaques from intravascular ultrasound images using an ad-hoc algorithm
Contributors:
Universitat Politècnica de Catalunya. Departament de Matemàtiques, Universitat Politècnica de Catalunya. UPCDS - Grup de Sistemes Dinàmics de la UPC
Publisher Information:
Multidisciplinary Digital Publishing Institute (MDPI)
Publication Year:
2023
Collection:
Universitat Politècnica de Catalunya, BarcelonaTech: UPCommons - Global access to UPC knowledge
Document Type:
Fachzeitschrift article in journal/newspaper
File Description:
application/pdf
Language:
English
DOI:
10.3390/math11030537
Rights:
Attribution 4.0 International ; http://creativecommons.org/licenses/by/4.0/ ; Open Access
Accession Number:
edsbas.7AEA7103
Database:
BASE

Weitere Informationen

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. ; Peer Reviewed ; Postprint (published version)