|
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 |
|
| 論文種別 | 原著 |
| 言語種別 | 英語 |
| 査読の有無 | 査読あり |
| 表題 | Combination of compressed sensing-based iterative reconstruction and offset acquisition for I-123 FP-CIT SPECT: a simulation study. |
| 掲載誌名 | 正式名：Asia Oceania journal of nuclear medicine & biology 略 称：Asia Ocean J Nucl Med Biol ISSNコード：23225718/23225718 |
| 掲載区分 | 国外 |
| 巻・号・頁 | 10(2),pp.117-125 |
| 著者・共著者 | Norikazu Matsutomo, Takeyuki Hashimoto, Mitsuha Fukami, Tomoaki Yamamoto |
| 発行年月 | 2022 |
| 概要 | OBJECTIVES:The purpose of this study was to validate undersampled single-photon emission computed tomography (SPECT) imaging using a combination of compressed sensing (CS) iterative reconstruction (CS-IR) and offset acquisition.METHODS:Three types of numerical phantoms were used to evaluate image quality and quantification derived from CS with offset acquisition. SPECT images were reconstructed using filtered back-projection (FBP), maximum likelihood-expectation maximization (ML-EM), CS-IR, and CS-IR with offset acquisition. The efficacy of CS-IR with offset acquisition was examined in terms of spatial resolution, aspect ratio (ASR), activity concentration linearity, contrast, percent coefficient of variation (%CV), and specific binding ratio (SBR).RESULTS:The full widths at half maximum remained unchanged as the number of projections decreased in CS-IR with offset acquisition. Changes in ASRs and linearities of count density were observed for ML-EM and CS-IR from undersampled projections. The %CV obtained by CS-IR with offset acquisition was substantially lower than that obtained by ML-EM and CS-IR. There were no significant differences between the %CVs obtained from 60 projections by CS-IR with offset acquisition and from 120 projections by FBP. Although the SBRs for CS-IR with offset acquisition tended to be slightly lower than for FBP, the SBRs for CS-IR with offset acquisition did not change with the number of projections.CONCLUSIONS:CS-IR with offset acquisition can provide good image quality and quantification compared with a commonly used SPECT reconstruction method, especially from undersampled projection data. Our proposed method could shorten overall SPECT acquisition times, which would benefit patients and enable quantification with dynamic SPECT acquisitions. |
| DOI | 10.22038/AOJNMB.2021.59585.1417 |
| PMID | 35800416 |