Paper Info
Title
A feasibility study of joint respiratory and cardiac motion correction for coronary PET/CT imaging
Abstract
Coronary artery disease (CAD) or atherosclerosis is a leading cause of death in industrialized nations. Such diseases are marked by development of chronic vascular inflammation in coronary arteries. Accurate assessment, characterization and localization of this inflammation through non-invasive methods is an important step towards the treatment of CAD. It has been shown that positron emission tomography (PET) is capable of detecting large vessel inflammation via activated macrophage uptake of FDG. However, respiratory and cardiac motion during image acquisition leads to severe blurring of the resulting images thereby rendering the spatial resolution inadequate for detection of inflammation in coronary arteries. The objective of this paper is to demonstrate the potential of producing high resolution PET images to enable imaging of coronary artery inflammation. In this paper, we propose a novel method for joint cardiac and respiratory motion correction in PET/CT called Cardiac Shape Tracking with Adjustment for Respiration (CSTAR). It uses a sequential cardiac and respiratory motion correction scheme by decoupling the two, and also features the use of all acquired data for SNR preservation. CT images are primarily used for cardiac shape tracking through the estimation of cardiac motion. Cardiac motion correction is incorporated in a super-resolution framework, followed by adjustment for the residual respiratory motion blur using blind deconvolution. We investigated the feasibility of this technique on simulated cardiac PET/CT data using XCAT and the preliminary results show a marked qualitative and quantitative improvement when compared to conventional PET reconstruction.
Year
DOI
Venue
2009
10.1109/ISBI.2009.5193207
ISBI
Keywords
Field
DocType
residual respiratory motion blur,coronary pet,cardiac motion correction,cardiac shape tracking,respiratory motion correction,cardiac motion,simulated cardiac pet,chronic vascular inflammation,ct imaging,conventional pet reconstruction,feasibility study,respiratory motion correction scheme,coronary artery,high resolution,cardiovascular system,spatial resolution,super resolution,signal to noise ratio,cause of death,image resolution,industrialized nation,image reconstruction,computed tomography,biomechanics,deconvolution,superresolution,logic gates,pet ct,data acquisition,blind deconvolution
Coronary artery disease,CAD,Nuclear medicine,Iterative reconstruction,PET-CT,Coronary arteries,Positron emission tomography,Radiology,Image resolution,Cardiac PET,Medicine
Conference
ISSN
ISBN
Citations 
1945-7928 E-ISBN : 978-1-4244-3932-4
978-1-4244-3932-4
3
PageRank 
References 
Authors
0.58
4
5
Name
Order
Citations
PageRank
Sonal Ambwani161.04
Sanghee Cho2213.04
W. Clem Karl330.92
Ahmed Tawakol461.04
Homer Pien511310.40