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.
ADAN-WEB
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 .
See moreImageLab
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.
See moreLatest Journal Papers
• 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, 20223.
• 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.
• Ghitti, B; Blanco, PJ; Toro, EF; Müller, LO. Construction of hybrid 1D‐0D networks for efficient and accurate blood flow simulations. International Journal for Numerical Methods in Fluids, v. 95, p. 262-312, 2023.
• Noroozbabaee, L; Blanco, PJ; Safaei, S; Nickerson, DP. A modular and reusable model of epithelial transport in the proximal convoluted tubule PLOS ONE, v. 17, p. e0275837, 2022.
• Grinstein, J; Blanco, PJ; Bulant, CA; Torii, R; Bourantas, CV; Lemos, PA; García-García, HM. A computational study of aortic insufficiency in patients supported with continuous flow left ventricular assist devices: Is it time for a paradigm shift in management? Frontiers in Cardiovascular Medicine, v. 9, p. 933321, 2022.
• Grinstein, J; Torii, R; Salerno, C; Blanco, PJ; García-García, HM; Bourantas, CV. Flow dynamics during the HeartWare HVAD to HeartMate 3 exchange: A computational study assessing differential graft lengths and surgical techniques. Journal of Thoracic and Cardiovascular Surgery Techniques, v. 14, p. 125-126, 2022.
• Bass, R; García-García, HM; Sanz-Sánchez, J; Ziemer, PGP; Bulant, CA; Kuku, KO; Kahsay, YA; Beyene, S; Melaku, G; Otsuka, T; Choi, J-H; Fernández-Peregrina, E; Erdogan, E; Gonzalo, N; Bourantas, CV; Blanco, PJ; Räber, L. Human vs. machine vs. core lab for the assessment of coronary atherosclerosis with lumen and vessel contour segmentation with intravascular ultrasound. The International Journal of Cardiovascular Imaging, v. 38, p. 1431-1439, 2022.
• Grinstein, J; Blanco, PJ; Bulant, CA; Torii, R; Bourantas, CV; Lemos, PA; García-García, HM. A computational study of aortic insufficiency in patients supported with left ventricular assist devices. The Journal of Heart and Lung Transplantation, v. 41, p. S32-S33, 2022.
• Grinstein, J; Torii, R; Blanco, PJ; Salerno, CT; Jeevanandam, V; Bourantas, CV; Lemos, PA; García-García, HM. Optimization of flow dynamics during the HeartWare HVAD to HeartMate 3 exchange: A computational study assessing differential surgical techniques. The Journal of Heart and Lung Transplantation, v. 41, p. S136, 2022.
• Bass, R; García-García, HM; Losdat, S; Blanco, PJ; Räber, L. Effect of high-intensity statin therapy on atherosclerosis in non-infarct-related coronary arteries (IBIS-4): A machine learning-based analysis of IVUS. Journal of the American College of Cardiology: Cardiovascular Interventions, v. 15, p. S38, 2022.
• Bass, R; García-García, HM; Sanz-Sánchez, J; Ziemer, PGP; Bulant, CA; Kuku, KO; Kahsay, YA; Beyene, S; Melaku, G; Otsuka, T; Choi, J-H; Fernández-Peregrina, E; Erdogan, E; Gonzalo, N; Bourantas, CV; Blanco, PJ; Räber, L. Human vs. Machine vs. Core Lab in lumen and vessel contour segmentation with intravascular ultrasound. Journal of the American College of Cardiology: Cardiovascular Interventions, v. 15, p. S38-S39, 2022.
• Biocca, N; Blanco, PJ; Caballero, DE; Gimenez, JM; Carr, GE; Urquiza, SA. A biologically-inspired mesh optimizer based on pseudo-material remodeling. Computational Mechanics, v. 69, p. 505-525, 2022.
• Spence, JD; Müller, LO; Blanco, PJ. How to identify which patients should not have a systolic blood pressure target of <120 mmHg. European Heart Journal, v. 43, p. 538-539, 2022.
• 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.
• Ghitti, B; Blanco, PJ; Toro, EF; Müller, LO. Construction of hybrid 1D‐0D networks for efficient and accurate blood flow simulations. International Journal for Numerical Methods in Fluids, v. 95, p. 262-312, 2023.
• Noroozbabaee, L; Blanco, PJ; Safaei, S; Nickerson, DP. A modular and reusable model of epithelial transport in the proximal convoluted tubule PLOS ONE, v. 17, p. e0275837, 2022.
• Grinstein, J; Blanco, PJ; Bulant, CA; Torii, R; Bourantas, CV; Lemos, PA; García-García, HM. A computational study of aortic insufficiency in patients supported with continuous flow left ventricular assist devices: Is it time for a paradigm shift in management? Frontiers in Cardiovascular Medicine, v. 9, p. 933321, 2022.
• Grinstein, J; Torii, R; Salerno, C; Blanco, PJ; García-García, HM; Bourantas, CV. Flow dynamics during the HeartWare HVAD to HeartMate 3 exchange: A computational study assessing differential graft lengths and surgical techniques. Journal of Thoracic and Cardiovascular Surgery Techniques, v. 14, p. 125-126, 2022.
• Bass, R; García-García, HM; Sanz-Sánchez, J; Ziemer, PGP; Bulant, CA; Kuku, KO; Kahsay, YA; Beyene, S; Melaku, G; Otsuka, T; Choi, J-H; Fernández-Peregrina, E; Erdogan, E; Gonzalo, N; Bourantas, CV; Blanco, PJ; Räber, L. Human vs. machine vs. core lab for the assessment of coronary atherosclerosis with lumen and vessel contour segmentation with intravascular ultrasound. The International Journal of Cardiovascular Imaging, v. 38, p. 1431-1439, 2022.
• Grinstein, J; Blanco, PJ; Bulant, CA; Torii, R; Bourantas, CV; Lemos, PA; García-García, HM. A computational study of aortic insufficiency in patients supported with left ventricular assist devices. The Journal of Heart and Lung Transplantation, v. 41, p. S32-S33, 2022.
• Grinstein, J; Torii, R; Blanco, PJ; Salerno, CT; Jeevanandam, V; Bourantas, CV; Lemos, PA; García-García, HM. Optimization of flow dynamics during the HeartWare HVAD to HeartMate 3 exchange: A computational study assessing differential surgical techniques. The Journal of Heart and Lung Transplantation, v. 41, p. S136, 2022.
• Bass, R; García-García, HM; Losdat, S; Blanco, PJ; Räber, L. Effect of high-intensity statin therapy on atherosclerosis in non-infarct-related coronary arteries (IBIS-4): A machine learning-based analysis of IVUS. Journal of the American College of Cardiology: Cardiovascular Interventions, v. 15, p. S38, 2022.
• Bass, R; García-García, HM; Sanz-Sánchez, J; Ziemer, PGP; Bulant, CA; Kuku, KO; Kahsay, YA; Beyene, S; Melaku, G; Otsuka, T; Choi, J-H; Fernández-Peregrina, E; Erdogan, E; Gonzalo, N; Bourantas, CV; Blanco, PJ; Räber, L. Human vs. Machine vs. Core Lab in lumen and vessel contour segmentation with intravascular ultrasound. Journal of the American College of Cardiology: Cardiovascular Interventions, v. 15, p. S38-S39, 2022.
• Biocca, N; Blanco, PJ; Caballero, DE; Gimenez, JM; Carr, GE; Urquiza, SA. A biologically-inspired mesh optimizer based on pseudo-material remodeling. Computational Mechanics, v. 69, p. 505-525, 2022.
• Spence, JD; Müller, LO; Blanco, PJ. How to identify which patients should not have a systolic blood pressure target of <120 mmHg. European Heart Journal, v. 43, p. 538-539, 2022.
Articles in Press
• 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, 2023.
• Mansilla Álvarez, LA; Ares, GD; Feijóo, RA; Blanco, PJ. A mixed-order interpolation solid element for efficient arterial wall simulations. Computational Mechanics, 2023.
• 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, 2023.
• Mansilla Álvarez, LA; Ares, GD; Feijóo, RA; Blanco, PJ. A mixed-order interpolation solid element for efficient arterial wall simulations. Computational Mechanics, 2023.
• 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, 2023.