Method comparison for cardiac image registration of coronary computed tomography angiography and 3-D echocardiography

Abstract

Abstract. Treatment decision for coronary artery disease (CAD) is based on both morphological and functional information. Image fusion of coronary computed tomography angiography (CCTA) and three-dimensional echocardiography (3DE) could combine morphology and function into a single image to facilitate diagnosis. Three semiautomatic feature-based methods for CCTA/3DE registration were implemented and applied on CAD patients. Methods were verified and compared using landmarks manually identified by a cardiologist. All methods were found feasible for CCTA/3DE fusion. © The Authors. Published by SPIE under a Creative Commons Attribution 3.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.

Evaluation of left ventricular diastolic function of patients with coronary heart disease by ultrasound images on bilateral filtering image noise reduction algorithm combined with electrocardiogram

“…There are more speckle noises in ultrasound images, so that the effectiveness of doctors' diagnosis of diseases and evaluation of curative effects are affected. [4][5][6] At present, many algorithms have been applied to the denoising of medical ultrasound images, such as wavelet transform, non-average denoising, and bilateral filtering denoising. 7,8 Among them, bilateral filtering can optimize the echocardiography and provide more accurate information.…”