Object-dependent performance comparison of two iterative reconstruction algorithms
Conference
·
· IEEE Trans. Nucl. Sci.; (United States)
OSTI ID:7198148
Iterative algorithms are of interest for both PET and SPECT because they permit accurate modeling of the imaging system and they can be derived to satisfy certain statistical performance criteria. Different algorithms demonstrate a wide range of convergence phenomena, and this work describes the object and noise-dependent performance of the ART and Maximum Likelihood image reconstruction algorithms.
- Research Organization:
- Dept. of Nuclear Engineering, Univ. of Michigan, Ann Arbor, MI (US)
- OSTI ID:
- 7198148
- Report Number(s):
- CONF-871006-; TRN: 88-025837
- Journal Information:
- IEEE Trans. Nucl. Sci.; (United States), Vol. 35:1; Conference: 34. nuclear science symposium and 19. nuclear power systems symposium, San Francisco, CA, USA, 21 Oct 1987
- Country of Publication:
- United States
- Language:
- English
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07 ISOTOPES AND RADIATION SOURCES
IMAGE PROCESSING
CALCULATION METHODS
POSITRON COMPUTED TOMOGRAPHY
ALGORITHMS
IMAGE SCANNERS
ITERATIVE METHODS
SINGLE PHOTON EMISSION COMPUTED TOMOGRAPHY
MATHEMATICAL MODELS
PERFORMANCE TESTING
COMPUTERIZED TOMOGRAPHY
DIAGNOSTIC TECHNIQUES
EMISSION COMPUTED TOMOGRAPHY
MATHEMATICAL LOGIC
PROCESSING
TESTING
TOMOGRAPHY
440101* - Radiation Instrumentation- General Detectors or Monitors & Radiometric Instruments
655002 - Medical Physics- Radiation Source Calibration & Standardization