Keumsil S. Lee1,2, Werner W. Roeck1,3,
Grant T. Gullberg4, Orhan Nalcioglu1,3
1Tu & Yuen Center for
Functional Onco-Imaging, University of California, Irvine, Irvine, CA, United
States; 2Department of Electrical Engineering & Computer
Science, University of California, Irvine, Irvine, CA, United States; 3Department
of Radiological Sciences, University of California, Irvine, Irvine, CA,
United States; 4Ernest Orlando Lawrence Berkeley National
Laboratory, Berkeley, CA, United States
In nuclear imaging, a limited field of view (LFOV) system is more practical due to the fact that the ROIs are usually a lot smaller than the whole subject and the detectors to build a gamma camera are expensive. However, image reconstruction for the projections acquired by LFOV imaging systems have been done using standard full-field-of-view algorithm. The work presented here proposes a LFOV image reconstruction method named Keyhole SPECT (K-SPECT) that uses anatomical a priori information of ROI determined by high-resolution MR images and radioactivity distribution from SPECT image reconstructed without any a priori information. The simulation results indicate that K-SPECT reconstruction improved the image quality and the accuracy.