Designing optimal shunts for newborns with heart defects using computational modeling | MICDE Designing optimal shunts for newborns with heart defects using computational modeling – MICDE Skip to main content Hide Search Box Open off-canvas menu MENUMENU About Mission and History Governance Our Team Research Center for Data-Driven Computational Physics Center for Scientific Software Infrastructure Catalyst Grants Education Ph.D. in Scientific Computing Graduate Certificate in Computational Discovery and Engineering Graduate Certificate in Computational Neuroscience Fellowships Outreach Events Calendar Seminar Series Annual Symposia Virtual Workshop 2020 2019 2018 2017 2016 Fall 2014 Spring 2014 Faculty Affiliated Faculty Faculty Workshops Students Scientific Computing Student Club Education Funding Resources Funding Resources News Partnerships Contact Us Search Open Search Box Toggle side widget area No menu assigned! Designing optimal shunts for newborns with heart defects using computational modeling By Dan Meisler April 11, 2017 General Interest, Happenings, News, Research No Comments 0 0 For babies born with hypoplastic left heart syndrome, several open-heart surgeries are required. During Stage I, a Norwood procedure is performed to construct an appropriate circulation to both the systemic and the pulmonary arteries. The pulmonary arteries receive flow from the systemic circulation, often by using a Blalock-Taussig (BT) shunt between the innominate artery and the right pulmonary artery. This procedure causes significantly disturbed flow in the pulmonary arteries. A group of researchers led by U-M Drs. Ronald Grifka and Alberto Figueroa used computational hemodynamic simulations to demonstrate its capacity for examining the properties of the flow through and near the BT shunt. Initially, the researchers constructed a computational model which produces blood flow and pressure measurements matching the clinical magnetic resonance imaging (MRI) and catheterization data. Achieving this required us to determine the level of BT shunt occlusion; because the occlusion is below the MRI resolution, this information is difficult to recover without the aid of computational simulations. The researchers determined that the shunt had undergone an effective diameter reduction of 22% since the time of surgery. Using the resulting geometric model, they showed that we can computationally reproduce the clinical data. The researchers then replaced the BT shunt by with a hypothetical alternative shunt design with a flare at the distal end. Investigation of the impact of the shunt design revealed that the flare can increase pulmonary pressure by as much as 7%, and flow by as much as 9% in the main pulmonary branches, which may be beneficial to the pulmonary circulation. Read more in Frontiers in Pediatrics. Search Archives September 2022 August 2022 June 2022 April 2022 March 2022 February 2022 January 2022 October 2021 September 2021 August 2021 July 2021 June 2021 May 2021 April 2021 February 2021 January 2021 December 2020 October 2020 September 2020 August 2020 July 2020 June 2020 May 2020 April 2020 March 2020 February 2020 January 2020 December 2019 November 2019 October 2019 September 2019 August 2019 June 2019 May 2019 March 2019 February 2019 January 2019 December 2018 November 2018 October 2018 September 2018 August 2018 July 2018 June 2018 May 2018 April 2018 March 2018 February 2018 January 2018 December 2017 November 2017 October 2017 September 2017 August 2017 July 2017 June 2017 May 2017 April 2017 March 2017 February 2017 January 2017 December 2016 November 2016 October 2016 September 2016 August 2016 July 2016 June 2016 May 2016 April 2016 March 2016 February 2016 January 2016 December 2015 November 2015 October 2015 September 2015 August 2015 July 2015 June 2015 May 2015 April 2015 March 2015 February 2015 January 2015 Categories Al Hero Data Educational Events Feature Flux Funding Opportunities General Interest Happenings HPC News Research SC2 SC2 jobs Uncategorized Next Post MICDE awards four Catalyst Grants MICDE awards four Catalyst Grants Visit MICDE on Twitter Sign up for our newsletter Submit U-M Gateway U-M Non-discrimination Statement OVPR High Contract Styles: Toggle Stylesheet MICDE is an initiative of the College of Engineering, the College of Literature, Science and the Arts, and the U-M Office of the Vice President for Research Copyright © 2022 The Regents of the University of Michigan Close Side Widget Area MENUMENU About Mission and History Governance Our Team Research Center for Data-Driven Computational Physics Center for Scientific Software Infrastructure Catalyst Grants Education Ph.D. in Scientific Computing Graduate Certificate in Computational Discovery and Engineering Graduate Certificate in Computational Neuroscience Fellowships Outreach Events Calendar Seminar Series Annual Symposia Virtual Workshop 2020 2019 2018 2017 2016 Fall 2014 Spring 2014 Faculty Affiliated Faculty Faculty Workshops Students Scientific Computing Student Club Education Funding Resources Funding Resources News Partnerships Contact Us Search <# if ( data.meta.album ) { #>{{ data.meta.album }}<# } #> <# if ( data.meta.artist ) { #>{{ data.meta.artist }}<# } #> <# if ( data.artists && data.meta.artist ) { #> — {{ data.meta.artist }} <# } #> <# } #> <# if ( data.meta.length_formatted ) { #> {{ data.meta.length_formatted }} <# } #>