Work

Knowledge-Based Dynamic Volumetric Cardiac Computed Tomography With Saddle Curve Trajectory

Year: 2008

Type: article

Abstract: Motion artifact is still a major issue in cardiac computed tomography because the current motion correction and electrocardiogram gating techniques have not fully addressed this problem. The image quality can be significantly improved by using information about the actual state of the heart and an exact reconstruction algorithm. We propose to extend a cardiac computed tomographic technique, using the knowledge of the volume and the relation between the state and the phase of the heart, to a saddle curve trajectory. This will optimize the image quality by reducing the artifacts resulting from approximate reconstruction and solve the long-object problem. Necessary background is provided, and the effectiveness of the algorithms is demonstrated in numerical simulations with the dynamic thorax phantom.

Source: Journal of Computer Assisted Tomography

DOI: 10.1097/rct.0b013e31815a7e4b

Authors: Deepak Bharkhada, Hengyong Yu, Ge Wang

Institutions: Virginia Tech - Wake Forest University School of Biomedical Engineering & Sciences, Virginia Tech, Wake Forest University Health Sciences, Wake Forest University

Language: English

Topic: Cardiac Imaging and Diagnostics

Subfield: Radiology, Nuclear Medicine and Imaging

Field: Medicine

Domain: Health Sciences

Open Access status: green

Funders: Wake Forest University, National Institutes of Health, National Institute of Biomedical Imaging and Bioengineering