Computational framework for the generation of one-dimensional vascular models accounting for uncertainty in networks extracted from medical images.

Autor: Bartolo MA; Department of Mathematics, North Carolina State University, Raleigh, NC, USA., Taylor-LaPole AM; Department of Mathematics, North Carolina State University, Raleigh, NC, USA., Gandhi D; Department of Mathematics, North Carolina State University, Raleigh, NC, USA.; Department of Mathematics, University of Texas at Arlington, Arlington, TX, USA., Johnson A; Department of Mathematics, North Carolina State University, Raleigh, NC, USA.; Department of Mathematics and Statistics, University of South Florida, Tampa, FL, USA., Li Y; Department of Mathematics, North Carolina State University, Raleigh, NC, USA.; North Carolina School of Science and Mathematics, Durham, NC, USA., Slack E; Department of Mathematics, North Carolina State University, Raleigh, NC, USA.; Department of Mathematics, Colorado State University, Fort Collins, CO, USA., Stevens I; Department of Mathematics, North Carolina State University, Raleigh, NC, USA., Turner ZG; Department of Mathematics, North Carolina State University, Raleigh, NC, USA.; School of Mathematical and Statistical Sciences, Arizona State University, Tempe, AZ, USA., Weigand JD; Division of Cardiology, Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA., Puelz C; Division of Cardiology, Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA., Husmeier D; School of Mathematics and Statistics, University of Glasgow, Glasgow, UK., Olufsen MS; Department of Mathematics, North Carolina State University, Raleigh, NC, USA.

Publikováno v: The Journal of physiology [J Physiol] 2024 Aug; Vol. 602 (16), pp. 3929-3954. Date of Electronic Publication: 2024 Jul 29.