[HTML][HTML] Generative myocardial motion tracking via latent space exploration with biomechanics-informed prior

C Qin, S Wang, C Chen, W Bai, D Rueckert - Medical Image Analysis, 2023 - Elsevier
Myocardial motion and deformation are rich descriptors that characterize cardiac function.
Image registration, as the most commonly used technique for myocardial motion tracking, is …

Biomechanics-informed neural networks for myocardial motion tracking in MRI

C Qin, S Wang, C Chen, H Qiu, W Bai… - … Image Computing and …, 2020 - Springer
Image registration is an ill-posed inverse problem which often requires regularisation on the
solution space. In contrast to most of the current approaches which impose explicit …

From Model Based to Learned Regularization in Medical Image Registration: A Comprehensive Review

A Reithmeir, V Spieker, V Sideri-Lampretsa… - arXiv preprint arXiv …, 2024 - arxiv.org
Image registration is fundamental in medical imaging applications, such as disease
progression analysis or radiation therapy planning. The primary objective of image …

[PDF][PDF] 基于自适应正则项的非均匀B 样条肺部图像配准

樊攀云, 李敏 - Laser & Optoelectronics Progress, 2022 - researching.cn
摘要肺的呼吸运动估计和校正对图像引导放射治疗肺癌具有重要意义, 需要图像配准技术获取
运动位移信息. 然而, 肺器官是典型的运动器官, 在呼吸过程中会发生复杂的, 不同形式的形变 …

Volumetric MRI Reconstruction from 2D Slices in the Presence of Motion

M Ebner - 2019 - discovery.ucl.ac.uk
Despite recent advances in acquisition techniques and reconstruction algorithms, magnetic
resonance imaging (MRI) remains challenging in the presence of motion. To mitigate this …