Image2Flow: A hybrid image and graph convolutional neural network for rapid patient-specific pulmonary artery segmentation and CFD flow field calculation from 3D cardiac MRI data

arXiv:2402.18236v1 Announce Type: new
Abstract: Computational fluid dynamics (CFD) can be used for evaluation of hemodynamics. However, its routine use is limited by labor-intensive manual segmentation, CFD mesh creation, and time-consuming simulation. This study aims to train a deep learning model to both generate patient-specific volume-meshes of the pulmonary artery from 3D cardiac MRI data and directly estimate CFD flow fields.
This study used 135 3D cardiac MRIs from both a public and private dataset. The pulmonary arteries in the …

abstract arxiv cfd computational convolutional neural network cs.cv data dynamics evaluation flow fluid dynamics graph hybrid image labor mesh mri network neural network patient segmentation simulation study type