Low Rank Groupwise Deformations for Motion Tracking in Cardiac Cine MRI
This addresses the challenge of accurate motion tracking in cardiac cine MRI for medical imaging applications, representing an incremental improvement in groupwise registration methods.
The paper tackled the problem of tracking heart motion across a sequence of cardiac MRI images by proposing a novel method for groupwise diffeomorphic image registration, resulting in registered images that are low-rank and closely resemble a target image, with experimental evidence showing superior efficacy compared to state-of-the-art approaches.
Diffeomorphic image registration is a commonly used method to deform one image to resemble another. While warping a single image to another is useful, it can be advantageous to warp multiple images simultaneously, such as in tracking the motion of the heart across a sequence of images. In this paper, our objective is to propose a novel method capable of registering a group or sequence of images to a target image, resulting in registered images that appear identical and therefore have a low rank. Moreover, we aim for these registered images to closely resemble the target image. Through experimental evidence, we will demonstrate our method's superior efficacy in producing low-rank groupwise deformations compared to other state-of-the-art approaches.