DocumentCode :
2569642
Title :
Utility of 4D reconstruction for low-dose cardiac gated SPECT
Author :
Jin, Mingwu ; Niu, Xiaofeng ; Qi, Wenyuan ; Yang, Yongyi ; Wernick, Miles N. ; King, Michael A.
Author_Institution :
Dept. of Phys., Univ. of Texas at Arlington, Arlington, TX, USA
fYear :
2012
fDate :
2-5 May 2012
Firstpage :
660
Lastpage :
663
Abstract :
By modeling major degrading factors in SPECT imaging along with motion-compensated temporal denoising, 4D reconstruction is demonstrated to significantly improve the quality of reconstructed images in cardiac gated SPECT (GSPECT) at the standard dose level. The utility of 4D reconstruction for radiation dose reduction in GSPECT has not been studied despite increased concern in population based risk due to its ionizing radiation. In this work, we investigate the potential of 4D reconstruction on reducing the imaging dose using Monte Carlo simulation of GSPECT imaging of a realistic human phantom at different dose levels. We use a number of metrics to quantify the quality of reconstructed images. The results demonstrate that 4D reconstruction can achieve better or comparable reconstruction at half dose compared to conventional clinical reconstruction at standard dose.
Keywords :
Monte Carlo methods; cardiology; dosimetry; image denoising; image reconstruction; medical image processing; phantoms; single photon emission computed tomography; 4D reconstruction; Monte Carlo simulation; conventional clinical reconstruction; image reconstruction; ionizing radiation; low-dose cardiac gated SPECT; motion-compensated temporal denoising; population based risk; radiation dose reduction; realistic human phantom; standard dose level; Attenuation; Image reconstruction; Logic gates; Myocardium; Noise; Single photon emission computed tomography; 4D reconstruction; cardiac gated SPECT (GSPECT); dose level; ionizing radiation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Imaging (ISBI), 2012 9th IEEE International Symposium on
Conference_Location :
Barcelona
ISSN :
1945-7928
Print_ISBN :
978-1-4577-1857-1
Type :
conf
DOI :
10.1109/ISBI.2012.6235634
Filename :
6235634
Link To Document :
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