000131849 001__ 131849
000131849 005__ 20241125101159.0
000131849 0247_ $$2doi$$a10.3389/fbioe.2023.1304278
000131849 0248_ $$2sideral$$a137101
000131849 037__ $$aART-2023-137101
000131849 041__ $$adeu
000131849 100__ $$aLatorre, Álvaro T.$$uUniversidad de Zaragoza
000131849 245__ $$aCharacterizing atherosclerotic tissues: in silico analysis of mechanical properties using intravascular ultrasound and inverse finite element methods
000131849 260__ $$c2023
000131849 5060_ $$aAccess copy available to the general public$$fUnrestricted
000131849 5203_ $$aAtherosclerosis is a prevalent cause of acute coronary syndromes that consists of lipid deposition inside the artery wall, creating an atherosclerotic plaque. Early detection may prevent the risk of plaque rupture. Nowadays, intravascular ultrasound (IVUS) is the most common medical imaging technology for atherosclerotic plaque detection. It provides an image of the section of the coronary wall and, in combination with new techniques, can estimate the displacement or strain fields. From these magnitudes and by inverse analysis, it is possible to estimate the mechanical properties of the plaque tissues and their stress distribution. In this paper, we presented a methodology based on two approaches to characterize the mechanical properties of atherosclerotic tissues. The first approach estimated the linear behavior under particular pressure. In contrast, the second technique yielded the non-linear hyperelastic material curves for the fibrotic tissues across the complete physiological pressure range. To establish and validate this method, the theoretical framework employed in silico models to simulate atherosclerotic plaques and their IVUS data. We analyzed different materials and real geometries with finite element (FE) models. After the segmentation of the fibrotic, calcification, and lipid tissues, an inverse FE analysis was performed to estimate the mechanical response of the tissues. Both approaches employed an optimization process to obtain the mechanical properties by minimizing the error between the radial strains obtained from the simulated IVUS and those achieved in each iteration. The second methodology was successfully applied to five distinct real geometries and four different fibrotic tissues, getting median R2 of 0.97 and 0.92, respectively, when comparing the real and estimated behavior curves. In addition, the last technique reduced errors in the estimated plaque strain field by more than 20% during the optimization process, compared to the former approach. The findings enabled the estimation of the stress field over the hyperelastic plaque tissues, providing valuable insights into its risk of rupture.
000131849 536__ $$9info:eu-repo/grantAgreement/ES/DGA-CUS/581-2020$$9info:eu-repo/grantAgreement/ES/DGA-FSE/T24-20R$$9info:eu-repo/grantAgreement/ES/MICINN/PID2019-107517RB-I00$$9info:eu-repo/grantAgreement/ES/MICINN/PID2022-140219OB-I00
000131849 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000131849 590__ $$a4.3$$b2023
000131849 592__ $$a0.893$$b2023
000131849 591__ $$aBIOTECHNOLOGY & APPLIED MICROBIOLOGY$$b41 / 174 = 0.236$$c2023$$dQ1$$eT1
000131849 593__ $$aBiomedical Engineering$$c2023$$dQ1
000131849 591__ $$aENGINEERING, BIOMEDICAL$$b39 / 123 = 0.317$$c2023$$dQ2$$eT1
000131849 593__ $$aHistology$$c2023$$dQ2
000131849 593__ $$aBiotechnology$$c2023$$dQ2
000131849 593__ $$aBioengineering$$c2023$$dQ2
000131849 594__ $$a8.3$$b2023
000131849 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000131849 700__ $$aMartínez, Miguel A.
000131849 700__ $$aPeña, Estefanía
000131849 7102_ $$15004$$2605$$aUniversidad de Zaragoza$$bDpto. Ingeniería Mecánica$$cÁrea Mec.Med.Cont. y Teor.Est.
000131849 773__ $$g11 (2023), 1-15$$pFront. Bioeng. Biotechnol.$$tFrontiers in Bioengineering and Biotechnology$$x2296-4185
000131849 8564_ $$s3612243$$uhttps://zaguan.unizar.es/record/131849/files/texto_completo.pdf$$yVersión publicada
000131849 8564_ $$s2100866$$uhttps://zaguan.unizar.es/record/131849/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000131849 909CO $$ooai:zaguan.unizar.es:131849$$particulos$$pdriver
000131849 951__ $$a2024-11-22-12:10:44
000131849 980__ $$aARTICLE