An optimal control approach to determine resistance-type boundary conditions from in-vivo data for cardiovascular simulations.

Fevola, Elisa; Ballarin, Francesco; Jiménez-Juan, Laura; Fremes, Stephen; Grivet-Talocia, Stefano; Rozza, Gianluigi; Triverio, Piero

Fevola, Elisa; Ballarin, Francesco; Jiménez-Juan, Laura; Fremes, Stephen; Grivet-Talocia, Stefano; Rozza, Gianluigi; Triverio, Piero.

Affiliation

Fevola E; Department of Electronics and Telecommunications, Politecnico di Torino, Torino, Italy.
Ballarin F; MathLab, Mathematics area, SISSA - International School for Advanced Studies, Trieste, Italy.
Jiménez-Juan L; Department of Mathematics and Physics, Catholic University of the Sacred Heart, Brescia, Italy.
Fremes S; Department of Medical Imaging, St Michael's Hospital and Sunnybrook Research Institute, University of Toronto, Toronto, Canada.
Grivet-Talocia S; Schulich Heart Centre, Sunnybrook Health Sciences Center and Sunnybrook Research Institute, University of Toronto, Toronto, Canada.
Rozza G; Department of Electronics and Telecommunications, Politecnico di Torino, Torino, Italy.
Triverio P; MathLab, Mathematics area, SISSA - International School for Advanced Studies, Trieste, Italy.

Int J Numer Method Biomed Eng ; 37(10): e3516, 2021 10.

Article in En | MEDLINE | ID: mdl-34337877

Subject(s)

Hydrodynamics; Models, Cardiovascular; Aorta, Thoracic; Blood Flow Velocity; Hemodynamics; Humans; Stress, Mechanical

Key words

Murray's law; cardiovascular modeling; data assimilation; haemodynamics modeling; optimal control; patient-specific simulations

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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Hydrodynamics / Models, Cardiovascular Type of study: Guideline / Prognostic_studies Limits: Humans Language: En Journal: Int J Numer Method Biomed Eng Year: 2021 Document type: Article Affiliation country: Italy Country of publication: United kingdom

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