Accelerated 3D-3D rigid registration of echocardiographic images obtained from apical window using particle filter
Journal:
arXiv
Published Date:
Apr 28, 2025
Abstract
The perfect alignment of 3D echocardiographic images captured from various
angles has improved image quality and broadened the field of view. This study
proposes an accelerated sequential Monte Carlo (SMC) algorithm for 3D-3D rigid
registration of transthoracic echocardiographic images with significant and
limited overlap taken from apical window that is robust to the noise and
intensity variation in ultrasound images. The algorithm estimates the
translational and rotational components of the rigid transform through an
iterative process and requires an initial approximation of the rotation and
translation limits. We perform registration in two ways: the image-based
registration computes the transform to align the end-diastolic frame of the
apical nonstandard image to the apical standard image and applies the same
transform to all frames of the cardiac cycle, whereas the mask-based
registration approach uses the binary masks of the left ventricle in the same
way. The SMC and exhaustive search (EX) algorithms were evaluated for 4D
temporal sequences recorded from 7 volunteers who participated in a study
conducted at the Mazankowski Alberta Heart Institute. The evaluations
demonstrate that the mask-based approach of the accelerated SMC yielded a Dice
score value of 0.819 +/- 0.045 for the left ventricle and gained 16.7x speedup
compared to the CPU version of the SMC algorithm.
