DocumentCode :
1413879
Title :
Body Deformation Correction for SPECT Imaging
Author :
Gu, Songxiang ; McNamara, Joseph E. ; Mitra, Joyeeta ; Gifford, Howard C. ; Johnson, Karen ; Gennert, Michael A. ; King, Michael A.
Author_Institution :
Worcester Polytech. Inst., Worcester, MA, USA
Volume :
57
Issue :
1
fYear :
2010
Firstpage :
214
Lastpage :
224
Abstract :
Patient motion degrades the quality of SPECT studies. Body bend and twist are types of patient deformation, which may occur during SPECT imaging, and which has been generally ignored in SPECT motion correction strategies. To correct for these types of motion, we propose a deformation model and its inclusion within an iterative reconstruction algorithm. Two experiments were conducted to investigate the applicability of our model. In the first experiment, the return of the postmotion-compensation locations of markers on the body-surface of a volunteer to approximate their original coordinates is used to examine our method of estimating the parameters of our model and the parameters´ use in undoing deformation. The second experiment employed simulated projections of the MCAT phantom formed using an analytical projector which includes attenuation and distance-dependent resolution to investigate applications of our model in reconstruction. We demonstrate in the simulation studies that twist and bend can significantly degrade SPECT image quality visually. Our correction strategy is shown to be able to greatly diminish the degradation seen in the slices, provided the parameters are estimated accurately. We view this work as a first step towards being able to estimate and correct patient deformation based on information obtained from marker tracking data.
Keywords :
image motion analysis; image reconstruction; image resolution; iterative methods; medical image processing; single photon emission computed tomography; MCAT phantom; SPECT imaging; analytical projector; attenuation resolution; body deformation correction; body-surface; distance-dependent resolution; image reconstruction; iterative reconstruction algorithm; motion correction; patient motion; postmotion-compensation locations; Abdomen; Biomedical imaging; Cameras; Deformable models; Degradation; Image reconstruction; Medical diagnostic imaging; Parameter estimation; Single photon emission computed tomography; Tracking; Bend; deformation; motion correction; single photon emission computed tomography (SPECT); twist;
fLanguage :
English
Journal_Title :
Nuclear Science, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9499
Type :
jour
DOI :
10.1109/TNS.2009.2031114
Filename :
5409995
Link To Document :
بازگشت