000125223 001__ 125223
000125223 005__ 20241125101127.0
000125223 0247_ $$2doi$$a10.3390/math11030537
000125223 0248_ $$2sideral$$a132952
000125223 037__ $$aART-2023-132952
000125223 041__ $$aeng
000125223 100__ $$aMartínez, Javier
000125223 245__ $$aSemi-automatic 3D reconstruction of atheroma plaques from intravascular ultrasound images using an ad-hoc algorithm
000125223 260__ $$c2023
000125223 5060_ $$aAccess copy available to the general public$$fUnrestricted
000125223 5203_ $$aThe 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.
000125223 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000125223 590__ $$a2.3$$b2023
000125223 592__ $$a0.475$$b2023
000125223 591__ $$aMATHEMATICS$$b21 / 490 = 0.043$$c2023$$dQ1$$eT1
000125223 593__ $$aEngineering (miscellaneous)$$c2023$$dQ2
000125223 593__ $$aMathematics (miscellaneous)$$c2023$$dQ2
000125223 593__ $$aComputer Science (miscellaneous)$$c2023$$dQ2
000125223 594__ $$a4.0$$b2023
000125223 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000125223 700__ $$aPérez-Palau, Daniel
000125223 700__ $$0(orcid)0000-0002-8503-9291$$aCilla, Myriam$$uUniversidad de Zaragoza
000125223 700__ $$aGarrido, Neus
000125223 700__ $$aLarrañaga, Ana
000125223 700__ $$aPérez Rey, Ignacio
000125223 7102_ $$15004$$2605$$aUniversidad de Zaragoza$$bDpto. Ingeniería Mecánica$$cÁrea Mec.Med.Cont. y Teor.Est.
000125223 773__ $$g11, 3 (2023), 537 [14 pp]$$pMathematics (Basel)$$tMathematics$$x2227-7390
000125223 8564_ $$s1597838$$uhttps://zaguan.unizar.es/record/125223/files/texto_completo.pdf$$yVersión publicada
000125223 8564_ $$s2593054$$uhttps://zaguan.unizar.es/record/125223/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000125223 909CO $$ooai:zaguan.unizar.es:125223$$particulos$$pdriver
000125223 951__ $$a2024-11-22-11:57:59
000125223 980__ $$aARTICLE