About HeMoLab

The HeMoLab (Hemodynamics Modeling Laboratory) group is, since 2006, a R&D group within the National Laboratory for Scientific Computing (LNCC/MCTI). Background areas of HeMoLab team members and collaborators are Engineering, Computer Science, Mathematics, Physiology, Cardiology, Anatomy and Physics. Core activities are related to the modeling and numerical simulation of physiological systems, more specifically the cardiovascular system. Research efforts are concentrated towards developing coupled and multiscale physical models based on variational foundations, as well as to develop and implement numerical approximations based on the Finite Element Method, the Finite Volume Method and the Lattice-Boltzmann Method. Blood flow models, fluid structure interaction, wave propagation phenomena, medical image processing, constitutive multiscale modeling and parameter identification procedures are some of the activities of the group. Software development targeting distributed computing systems is a continuous concern with the aim of popularizing modeling and simulation tools and facilitate their use in real large scale problems.

Mini-Course (in Portuguese)

Introduction to Computational Hemodynamics



ADAN-WEB is a web application to provide users with extremely refined anatomical and functional data of the arterial network. This unprecedented dataset is based on the anatomical/medical domain knowledge, and has been developed in the HeMoLab group within the context of the INCT-MACC .

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ImageLab is a software for medical image processing designed to serve as an easy-to-use tool to aid cardiovascular research through the processing and segmentation of anatomical structures of interest from medical images. ImageLab can equally be used as a laboratory to aid the implementation of new algorithms and methods.

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New Book

Introduction to the Variational Formulation in Mechanics: Fundamentals and Applications, Published by Wiley. Available in 2020

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Latest Journal Papers

• Mansilla Álvarez, LA; Feijóo, RA; Blanco, PJ. Inflow stabilization for hemodynamic simulations using Stokesian regions. Journal of Computational Physics, v. 510, p. 113096, 2024.
• Garmendia, C; Gonzalo, N; Blanco, PJ; García-García, HM. Implicancias de la inteligencia artificial en los métodos de imagen endovascular. Revista Argentina de Cardiologia, v. 92, p. 42-54, 2024.
• Beyene, S; Tufaro, V; Garg, M; Gkargkoulas, F; Teira Calderon, A; Safi, H; Waksman, R; Windecker, S; Torii, R; Melaku, GO; Bulant, CA; Bourantas, CV; Blanco, PJ; García-García, HM. Comparison of endothelial shear stress between ultrathin strut Bioresorbable Polymer Drug Eluting Stent vs Durable Polymer Drug Eluting Stent post-stent implantation: An optical coherence tomography substudy from BIOFLOW II. Cardiovascular Revascularization Medicine, v. 61, p. 26-34, 2024.
• Mansilla Álvarez, LA; Ares, GD; Feijóo, RA; Blanco, PJ. A mixed-order interpolation solid element for efficient arterial wall simulations. Computational Mechanics, v. 73, p. 67-87, 2024.
• Bulant, CA; Boroni, GA; Bass, R; Räber, L; Lemos, PA; García-García, HM; Blanco, PJ. Data-driven models for the prediction of coronary atherosclerotic plaque progression/regression. Scientific Reports, v. 14, p. 1493, 2024.
• Celant, M; Toro, EF; Bertaglia, G; Cozzio, S; Caleffi, V; Valiani, A; Blanco, PJ; Müller, LO. Modeling essential hypertension with a closed‐loop mathematical model for the entire human circulation. International Journal for Numerical Methods in Biomedical Engineering, v. 39, p. e3748, 2023.
• Bass, RD; García-García, HM; Ueki, Y; Holmvang, L; Pedrazzini, G; Roffi, M; Koskinas, KC; Shibutani, H; Losdat, S; Ziemer, PGP; Blanco, PJ; Levine, MB; Bourantas, CV; Räber, L. Effect of high-intensity statin therapy on atherosclerosis (IBIS-4): Manual versus automated methods of IVUS analysis. Cardiovascular Revascularization Medicine, v. 54, p. 33-38, 2023.
• Blanco, PJ; Sánchez, PJ; Rocha, FF; Toro, S; Feijóo, RA. A consistent multiscale mechanical formulation for media with randomly distributed voids. International Journal of Solids and Structures, v. 283, p. 112494, 2023.
• García-García, HM; Bulant, CA; Bass, R; Boroni, G; Clausse, A; Lemos, PA; Blanco, PJ; Losdat, S; Räber, L. Machine learning prediction models of coronary plaque progression after one-year of high-intensity rosuvastatin therapy from intravascular ultrasound images. Atherosclerosis, v. 379, p. S166-S167, 2023.
• May, RW; Maso Talou, GD; Clark, AR; Mynard, JP; Smolich, JJ; Blanco, PJ; Müller, LO; Gentles, TL; Bloomfield, FH; Safaei, S. From fetus to neonate: A review of cardiovascular modeling in early life. WIREs Mechanisms of Disease, v. 15, p. e1608, 2023.
• Müller, LO; Watanabe, SM; Toro, EF; Feijóo, RA; Blanco, PJ. An anatomically detailed arterial-venous network model. Cerebral and coronary circulation. Frontiers in Physiology, v. 14, p. 1162391, 2023.
• Noroozbabaee, L; Blanco, PJ; Safaei, S; Nickerson, DP. Reproducibility study of the modular and reusable model of epithelial transport in the proximal convoluted tubule. Physiome, p. 23499258, 2023.
• Prado, GFA; Blanco, PJ; Bulant, CA; Ares, GD; Mariani Jr, J; Caixeta, A; Almeida, BO; Garzon, S; Pinton, FA; Barbato, E; Ribichini, FL; Toth, GG; Mahfoud, F; Wijns, W; García-García, HM; Lemos, PA. Quantitative coronary three-dimensional geometry and its association with atherosclerotic disease burden and composition. Catheterization and Cardiovascular Interventions, v. 101, p. 1036-1044, 2023.
• Feijóo, RA; Blanco, PJ; de Souza Neto, EA; Sánchez, PJ. Novel multiscale models in a multicontinuum approach to divide and conquer strategies. Computational and Applied Mathematics, v. 42, p. 143, 2023.
• Guilherme, RF; Silva, JBNF; Waclawiack, I; Fraga-Junior, VS; Nogueira, TO; Pecli, C; Araújo-Silva, CA; Magalhães, NS. Lemos, FS; Bulant, CA; Blanco, PJ; Serra, R; Svensjö, E; Scharfstein, J; Moraes, JA; Canetti, C; Benjamim, CF. Pleiotropic antifibrotic actions of a\spirin-triggered resolvin D1 in the lungs. Frontiers in Immunology, v. 14, p. 1-13, 2023.

Articles in Press

• Tesch, RS; Takamori, ER; Menezes, K; Carias, RBV; Rebelatto, CLK; Senegaglia, AC; Daga, DR; Fracaro, L; Robert, AW; Pinheiro, CBR; Aguiar, MF; Blanco, PJ; Zilves, EG; Brofman, PRS; Borojevic, R. Nasal septum-derived chondroprogenitor cells control mandibular condylar resorption consequent to orthognathic surgery: a clinical trial. Stem Cells Translational Medicine, 2024.