DocumentCode :
2807365
Title :
Detectability of perfusion defect in gated dynamic cardiac SPECT images
Author :
Niu, Xiaofeng ; Yang, Yongyi ; Wernick, M.N.
Author_Institution :
Dept. of Electr. & Comput. Eng., Illinois Inst. of Technol., Chicago, IL, USA
fYear :
2009
fDate :
June 28 2009-July 1 2009
Firstpage :
923
Lastpage :
926
Abstract :
Recently we developed an image reconstruction procedure aimed to unify gated imaging and dynamic imaging in nuclear cardiac imaging. It can yield a single image sequence to show simultaneously both cardiac motion and tracer distribution change over the course of imaging. In this work, we further develop and investigate the feasibility of our gated dynamic imaging procedure for perfusion defect detection in cardiac SPECT imaging, where the challenge is even greater without using fast camera rotations. We study the saliency of temporal kinetic information derived from the reconstructed dynamic images for differentiating defects from normal cardiac perfusion. We also propose several metrics to characterize the salient kinetic information in gated dynamic images. The proposed development was demonstrated using simulated gated cardiac imaging with the NCAT phantom and Tc99m-Teboroxime as the imaging agent.
Keywords :
cardiology; haemorheology; image reconstruction; medical image processing; phantoms; single photon emission computed tomography; NCAT phantom; SPECT imaging; Tc99m-Teboroxime; cardiac perfusion; dynamic imaging; gated dynamic imaging; image reconstruction; nuclear cardiac imaging; Blood flow; Cameras; Cardiology; Image reconstruction; Image sequences; Imaging phantoms; Kinetic theory; Myocardium; Visualization; Wiener filter; 5D reconstruction; Gated SPECT; dynamic SPECT; spatio-temporal processing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Imaging: From Nano to Macro, 2009. ISBI '09. IEEE International Symposium on
Conference_Location :
Boston, MA
ISSN :
1945-7928
Print_ISBN :
978-1-4244-3931-7
Electronic_ISBN :
1945-7928
Type :
conf
DOI :
10.1109/ISBI.2009.5193204
Filename :
5193204
Link To Document :
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