Search Results for author: Declan P O'Regan

Found 3 papers, 0 papers with code

DeepMesh: Mesh-based Cardiac Motion Tracking using Deep Learning

no code implementations25 Sep 2023 Qingjie Meng, Wenjia Bai, Declan P O'Regan, and Daniel Rueckert

We propose a novel learning framework, DeepMesh, which propagates a template heart mesh to a subject space and estimates the 3D motion of the heart mesh from CMR images for individual subjects.

Motion Estimation

Mesh-based 3D Motion Tracking in Cardiac MRI using Deep Learning

no code implementations5 Sep 2022 Qingjie Meng, Wenjia Bai, Tianrui Liu, Declan P O'Regan, Daniel Rueckert

By developing a differentiable mesh-to-image rasterizer, the method is able to leverage the anatomical shape information from 2D multi-view CMR images for 3D motion estimation.

Motion Estimation

MulViMotion: Shape-aware 3D Myocardial Motion Tracking from Multi-View Cardiac MRI

no code implementations29 Jul 2022 Qingjie Meng, Chen Qin, Wenjia Bai, Tianrui Liu, Antonio de Marvao, Declan P O'Regan, Daniel Rueckert

To address this problem, we propose a novel multi-view motion estimation network (MulViMotion), which integrates 2D cine CMR images acquired in short-axis and long-axis planes to learn a consistent 3D motion field of the heart.

Motion Estimation

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