マツトモ ノリカズ
松友 紀和 所属 川崎医療福祉大学 医療技術学部 診療放射線技術学科 職種 特任准教授 |
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論文種別 | 原著 |
言語種別 | 英語 |
査読の有無 | 査読あり |
表題 | Optimization of iterative reconstruction parameters with 3-dimensional resolution recovery, scatter and attenuation correction in ¹²³I-FP-CIT SPECT. |
掲載誌名 | 正式名:Annals of nuclear medicine 略 称:Ann Nucl Med ISSNコード:18646433/09147187 |
掲載区分 | 国内 |
巻・号・頁 | 29(7),pp.636-42 |
著者・共著者 | Norikazu Matsutomo, Akio Nagaki, Fusae Yamao, Masayuki Sasaki |
発行年月 | 2015/08 |
概要 | OBJECTIVE:The aim of this study was to determine the optimal reconstruction parameters on ordered-subset expectation maximization iterative reconstruction with resolution recovery, scatter and attenuation correction (OSEM(RRSCAC)) on (123)I-FP-CIT SPECT in terms of the image quality, quantification and diagnostic ability.METHODS:We evaluated the quality and quantification in (123)I-FP-CIT SPECT images obtained by different reconstruction parameters using the anthropomorphic striatal phantom. The phantom images were acquired using a SPECT/CT system equipped with a low- and medium-energy general-purpose collimator and then were reconstructed using OSEM(RRSCAC) with various update numbers and the full width at half maximum (FWHM) of the Gaussian filter. The count ratio of the striatum, the coefficient of variation (CV) on the background and the specific binding ratio (SBR) were calculated to determine the optimal reconstruction parameters. Then, 42 consecutive patients who underwent (123)I-FP-CIT SPECT were selected for clinical study. The patients were grouped into potentially decreasing group (20 with Parkinson's disease, 5 with parkinsonian syndrome and 5 with dementia with Lewy bodies) and potentially normal binding group (4 with Alzheimer disease and 8 with essential tremor). Clinical images were reconstructed using OSEM(RRSCAC) and FBP with Chang's AC (FBP(AC)). The performance of OSEM(RRSCAC) with the optimal reconstruction parameters was evaluated according to the receiver operating characteristic analysis and visual assessment.RESULTS:The count ratio increased with an increasing update number and converged uniformly with an update number over 90. The CV continuously increased with the update number. The SBR also increased with an increasing update number and converged uniformly with an update number of 90 or larger. The FWHM of the Gaussian filter influenced the image quality and quantification. In the clinical study, the area under curve (AUC) for the OSEM(RR |
DOI | 10.1007/s12149-015-0987-1 |
PMID | 25997807 |