Publications related to MATHICSE Technical Report : Fast simulations of patient-specific haemodynamics of coronary artery bypass grafts based on a Pod-Galerkin method and a vascular shape parametrization

The role of computational methods in cardiovascular medicine: a narrative review

Alfio Quarteroni, Luca Dede', Christian Vergara, Stefano Pagani

Background and Objective: Computational models of the cardiovascular system allow for a detailed and quantitative investigation of both physiological and pathological conditions, thanks to their ability to combine clinical-possibly patient-specific-data wi ...

Ame Publishing Company2024

Efficient approximation of cardiac mechanics through reduced-order modeling with deep learning-based operator approximation

Alfio Quarteroni, Andrea Manzoni

Reducing the computational time required by high-fidelity, full-order models (FOMs) for the solution of problems in cardiac mechanics is crucial to allow the translation of patient-specific simulations into clinical practice. Indeed, while FOMs, such as th ...

Hoboken2023

Fast in vivo assay of creatine kinase activity in the human brain by P-31 magnetic resonance fingerprinting

Lijing Xin, Daniel Wenz, Mark Stephan Widmaier, Songi Lim

A new and efficient magnetisation transfer P-31 magnetic resonance fingerprinting (MT-P-31-MRF) approach is introduced to measure the creatine kinase metabolic rate kCK

{k}_{\mathrm{CK}}

between phosphocreatine (PCr) and adenosine triphosphate (ATP) i ...

WILEY2023

LOD-Homogenization of Multiscale Eddy Current Problem in Time Domain

Xiaotao Ren

Devices fabricated from Soft Magnetic Composites (SMCs) are gaining popularity in research and application. The multiscale characteristics require special attention. Solving the quasi-statics Maxwell’s equations on such devices consumes huge time and memor ...

2021

Predicting future myocardial infarction from angiographies with deep learning

Pascal Frossard, Emmanuel Abbé, Olivier Muller, Ortal Yona Senouf, Thabodhan Mahendiran, Stéphane Fournier, Omar Raita, David Meier, Nicolas Dayer, Farhang Aminfar

In patients with stable Coronary Artery Disease (CAD), the identification of lesions which will be responsible of a myocardial infarction (MI) during follow-up remains a daily challenge. In this work, we propose to predict culprit stenosis by applying a de ...

2021

Biophysically detailed mathematical models of multiscale cardiac active mechanics

Alfio Quarteroni, Francesco Regazzoni

Author summary Computer-based numerical simulations of the heart are increasingly assuming a recognized role in the context of computational medicine and cardiology. They are based on mathematical models describing the different physical phenomena occurrin ...

2020

Computational Analysis of Turbulent Hemodynamics in Radiocephalic Arteriovenous Fistulas to Determine the Best Anastomotic Angles

Alfio Quarteroni, Christian Vergara

Background: Hemodynamics has been known to play a major role in the development of intimal hyperplasia leading to arteriovenous fistula failure. The goal of our study is to investigate the influence of different angles of side-to-end radiocephalic anastomo ...

ELSEVIER SCIENCE INC2020

A reduced basis approach to large-scale pseudospectra computation

Petar Sirkovic

For studying spectral properties of a nonnormal matrix A is an element of Cnxn, information about its spectrum sigma(A) alone is usually not enough. Effects of perturbations on sigma(A) can be studied by computing epsilon-pseudospectra, i.e. the level sets ...

WILEY2019

A finite element framework based on bivariate simplex splines on triangle configurations

Xiaodong Wei, Juan Cao

Recently, triangle configuration based bivariate simplex splines (referred to as TCB-spline) have been introduced to the geometric computing community. TCB-splines retain many attractive theoretic properties of classical B-splines, such as partition of uni ...

ELSEVIER SCIENCE SA2019

Advances in computational and statistical diffusion MRI

Alessandro Daducci

Computational methods are crucial for the analysis of diffusion magnetic resonance imaging (MRI) of the brain. Computational diffusion MRI can provide rich information at many size scales, including local microstructure measures such as diffusion anisotrop ...

2019

MATHICSE Technical Report : Fast simulations of patient-specific haemodynamics of coronary artery bypass grafts based on a Pod-Galerkin method and a vascular shape parametrization

Graph Chatbot

Chat with Graph Search

The role of computational methods in cardiovascular medicine: a narrative review

Efficient approximation of cardiac mechanics through reduced-order modeling with deep learning-based operator approximation

Fast in vivo assay of creatine kinase activity in the human brain by P-31 magnetic resonance fingerprinting

LOD-Homogenization of Multiscale Eddy Current Problem in Time Domain

Predicting future myocardial infarction from angiographies with deep learning

Biophysically detailed mathematical models of multiscale cardiac active mechanics

Computational Analysis of Turbulent Hemodynamics in Radiocephalic Arteriovenous Fistulas to Determine the Best Anastomotic Angles

A reduced basis approach to large-scale pseudospectra computation

A finite element framework based on bivariate simplex splines on triangle configurations

Advances in computational and statistical diffusion MRI

Efficient approximation of cardiac mechanics through reduced-order modeling with deep learning-based operator approximation

The role of computational methods in cardiovascular medicine: a narrative review

Computational Analysis of Turbulent Hemodynamics in Radiocephalic Arteriovenous Fistulas to Determine the Best Anastomotic Angles

Fast in vivo assay of creatine kinase activity in the human brain by P-31 magnetic resonance fingerprinting

LOD-Homogenization of Multiscale Eddy Current Problem in Time Domain

Biophysically detailed mathematical models of multiscale cardiac active mechanics

Predicting future myocardial infarction from angiographies with deep learning

A reduced basis approach to large-scale pseudospectra computation

A finite element framework based on bivariate simplex splines on triangle configurations

Advances in computational and statistical diffusion MRI