DocumentCode
1010157
Title
Ultra-high-resolution brain SPECT imaging: simulation results
Author
Rogulski, M.M. ; Barber, H.B. ; Barrett, H.H. ; Shoemaker, R.L. ; Woolfenden, J.M.
Author_Institution
Arizona Univ., Tucson, AZ, USA
Volume
40
Issue
4
fYear
1993
fDate
8/1/1993 12:00:00 AM
Firstpage
1123
Lastpage
1129
Abstract
The spatial resolution in a reconstructed single photon emission computed tomography (SPECT) image is influenced by the intrinsic resolution of the detector, and the photon-counting efficiency of SPECT systems is also determined by the intrinsic resolution. The authors demonstrate that improvements in detector resolution can lead to both improved spatial resolution in the image and improved counting efficiency compared to conventional systems. This paradoxical conclusion results from optimizing the geometry of a multiple-pinhole coded-aperture system when detectors of very high resolution are available. Simulation studies that demonstrate the image quality that is attainable with such detectors are reported. Reconstructions are performed using an iterative search algorithm on a custom-designed parallel computer. The imaging system is described by a calculated system matrix relating all voxels in the object space to all pixels on the detector. A resolution close to 2 mm is found on the reconstructed images obtained from these computer simulations with clinically reasonable exposure times. This resolution may be even further improved by optimization of the multiple-pinhole aperture
Keywords
brain; computerised tomography; iterative methods; medical image processing; patient diagnosis; radioisotope scanning and imaging; custom-designed parallel computer; exposure times; intrinsic resolution; iterative search algorithm; multiple-pinhole coded-aperture system; photon-counting efficiency; reconstructed single photon emission computed tomography; spatial resolution; system matrix; ultra-high-resolution brain SPECT imaging; voxels; Brain modeling; Computational modeling; Detectors; Geometry; Image quality; Image reconstruction; Image resolution; Iterative algorithms; Single photon emission computed tomography; Spatial resolution;
fLanguage
English
Journal_Title
Nuclear Science, IEEE Transactions on
Publisher
ieee
ISSN
0018-9499
Type
jour
DOI
10.1109/23.256722
Filename
256722
Link To Document