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 .

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ImageLab

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

• 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.
• Mansilla Álvarez, LA; Bulant, CA; Ares, GD; Feijóo, RA; Blanco, PJ. A mid-fidelity numerical method for blood flow in deformable vessels. Computer Methods in Applied Mechanics and Engineering, v. 392, p. 114654, 2022.
• Mansilla Álvarez, LA; Bulant, CA; Ares, GD; Feijóo, RA; Blanco, PJ. Feasibility of coronary blood fow simulations using mid‑fdelity numeric and geometric models. Biomechanics and Modeling in Mechanobiology, v. 21, p. 317-334, 2022.
• Vellasco, L; Svensjö, E; Bulant, CA; Blanco, PJ; Nogueira, F; Domont, G; Pinto de Almeida, N; Nascimento, CR; Silva-dos-Santos, D; Carvalho-Pinto, CE; Medei, EH; Almeida, IC; Scharfstein, J. Sheltered in stromal tissue cells, Trypanosoma cruzi orchestrates inflammatory neovascularization via activation of the mast cell chymase pathway. Pathogens, v. 11, p. 187, 2022.
• Blanco, PJ; Vargas dos Santos, GH; Bulant, CA; Álvarez, LAM; Oliveira, FAP; Cunha-Lima, G; Lemos, PA. Scaling laws and the left main coronary artery bifurcation. A combination of geometric and simulation analyses. Medical Engineering & Physics, v. 99, p. 103701, 2022.
• Blanco, PJ; Bulant, CA; Bezerra, CG; Lemos, PA; García-García, HM. Simultaneous assessment of coronary stenosis relevance with automated computed tomography angiography and intravascular ultrasound analyses and fractional flow reserve. Coronary Artery Disease, v. 33, p. 25-30, 2022.
• Blanco, PJ; Ziemer, PGP; Bulant, CA; Ueki, Y; Bass, R; Räber, L; Lemos, PA; García-García, HM. Fully automated lumen and vessel contour segmentation in intravascular ultrasound datasets. Medical Image Analysis, v. 75, p. 102262, 2022.
• Cury, LFM; Maso Talou, GD; Younes-Ibrahim, M; Blanco, PJ. Parallel generation of extensive vascular networks with application to an archetypal human kidney model. Royal Society Open Science, v. 8, p. 210973, 2021.

Articles in Press

• 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, 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, 2022.