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Norikazu Matsutomo
Department Kawasaki University of Medical Welfare , Position Associate Professor with Special Assignment |
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| Article types | 原著 |
| Language | English |
| Peer review | Peer reviewed |
| Title | Optimization of Number of Iterations as a Reconstruction Parameter in Bone SPECT Imaging Using a Novel Thoracic Spine Phantom. |
| Journal | Formal name：Journal of nuclear medicine technology Abbreviation：J Nucl Med Technol ISSN code：15355675/00914916 |
| Domestic / Foregin | Foregin |
| Volume, Issue, Page | 49(2),pp.143-149 |
| Author and coauthor | Mitsuha Fukami, Norikazu Matsutomo, Tomoaki Yamamoto |
| Publication date | 2021/06 |
| Summary | The aim of this study was to optimize the number of iterations in bone SPECT imaging using a novel thoracic spine phantom (ISMM phantom). Methods: The quality and quantitative accuracy of bone SPECT images were evaluated by changing the number of iterations and the size of the hot spot in the phantom. True SUVs in the vertebra, tumor, and background parts were 9.8, 52.2, and 1.0, respectively. The phantom image was reconstructed using the ordered-subset expectation-maximization algorithm with CT-based attenuation correction, scatter correction, and resolution recovery; the number of ordered-subset expectation-maximization subsets was fixed at 10, with iterations ranging from 1 to 40. Full width at half maximum, percentage coefficient of variation, contrast ratio for the sphere and background (contrast), and recovery coefficient were evaluated as a function of the number of iterations for a given number of subsets (10) using the reconstructed images. In addition, SUVmax, SUVpeak, and SUVmean were calculated with various numbers of iterations for each sphere (13, 17, 22, and 28 mm) simulating a tumor. Results: Full width at half maximum decreased as the number of iterations was increased, and full width at half maximum converged uniformly when the number of iterations exceeded 10. The percentage coefficient of variation increased as the number of iterations was increased. Recovery coefficient decreased with decreasing sphere size. Contrast and all SUVs increased as the number of iterations was increased, and contrast and all SUVs converged uniformly when the number of iterations exceeded 5 and 10, respectively, for all sphere sizes. When the SUV was defined as the converged value for 10 iterations in the 28-mm sphere, the converged values of SUVmax, SUVpeak, and SUVmean were 75.1, 66.5, and 55.6, respectively. The relative error in the converged values for SUVmax, SUVpeak, and SUVmean were 43.8%, 27.3%, and 7.2% of the true value (52.2); all SUVs were overestimated. C |
| DOI | 10.2967/jnmt.120.253534 |
| PMID | 33361180 |