Editorial: Image-based computational approaches for personalized cardiovascular medicine: improving clinical applicability and reliability through medical imaging and experimental data

Selene Pirola; Amirhossein Arzani; Claudio Chiastra; Francesco Sturla

doi:10.3389/fmedt.2023.1222837

Editorial: Image-based computational approaches for personalized cardiovascular medicine: improving clinical applicability and reliability through medical imaging and experimental data

Front Med Technol. 2023 Jun 23:5:1222837. doi: 10.3389/fmedt.2023.1222837. eCollection 2023.

Authors

Selene Pirola^#¹, Amirhossein Arzani^#², Claudio Chiastra^#³, Francesco Sturla^#^{4

5}

Affiliations

¹ Department of Biomechanical Engineering, Delft University of Technology, Delft, Netherlands.
² Department of Mechanical Engineering and Scientific Computing and Imaging Institute, The University of Utah, Salt Lake City, UT, United States.
³ PoliToBIOMed Lab, Department of Mechanical and Aerospace Engineering, Politecnico di Torino, Torino, Italy.
⁴ 3D and Computer Simulation Laboratory, IRCCS Policlinico San Donato, San Donato Milanese, Italy.
⁵ Department of Electronics, Information and Bioengineering, Politecnico di Milano, Milano, Italy.

^# Contributed equally.

No abstract available

Keywords: cardiovascular biomechanics; cardiovascular imaging; computational modeling; diagnosis; patient-specific models; surgical planning.

Publication types

Editorial

Grants and funding

AA acknowledges support from the National Science Foundation (2247173, 2246911, 2205265, 2246916). SP acknowledges the support from the Delft Technology Fellowship. IRCCS Policlinico San Donato is a clinical research hospital partially funded by the Italian Ministry of Health.