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A positive bias affects the estimation of binding potential (BP) calculated from radioactive concentrations of reference regions and target region in nuroreceptor binding assay. To suppress the noise propagation in OS-EM algorithm, the hybrid wavelet shrinkage (HWS) filter is developed. In this study, we performed the phantom study to evaluate the effect of HWS filter on noise propagation in OS-EM algorithm.\n\\nMaterials and Methods\nPhantom studies are performed by SET-3000GCT/X (shimadzu corp). To evaluate the effect of the HWS filter, we planned the some phantom study. IEC body phantom filled with 18F (activity concentration ratios relative to background of 4:1) are used for evaluation of image quality. A pool phantom filled with 18F (11.4kBq/ml) is scanned by dynamic scan mode for evaluation the quantification of PET image. 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Furthermore, these results indicate that OS-EMw has the fast convergence of pixel number and suppress the noise propagation.\n\\nConclusion\nAccording to our study, OS-EMw has fast convergence and suppresses the noise propagation in OS-EM algorithm. 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Hybrid wavelet shrinkage (HWS) filter suppress the noise propagation in ordered subset expectation maximization (OS-EM) algorithm
https://repo.qst.go.jp/records/70965
https://repo.qst.go.jp/records/70965f97866ea-09d3-4ee1-9f7d-dd0eec2c06f7
Item type | 会議発表用資料 / Presentation(1) | |||||
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公開日 | 2012-11-07 | |||||
タイトル | ||||||
タイトル | Hybrid wavelet shrinkage (HWS) filter suppress the noise propagation in ordered subset expectation maximization (OS-EM) algorithm | |||||
言語 | ||||||
言語 | eng | |||||
資源タイプ | ||||||
資源タイプ識別子 | http://purl.org/coar/resource_type/c_c94f | |||||
資源タイプ | conference object | |||||
アクセス権 | ||||||
アクセス権 | metadata only access | |||||
アクセス権URI | http://purl.org/coar/access_right/c_14cb | |||||
著者 |
Shiraishi, Takahiro
× Shiraishi, Takahiro× Kanno, Iwao× Ito, Hiroshi× Yoshikawa, Kyosan× Tanimoto, Katsuyuki× Ishii, Noriyuki× Kimura, Taku× Omatsu, Mika× Ohashi, Seiya× Toubaru, Sachiko× Takano, Harumasa× Tsuji, Hiroshi× Ando, Yutaka× Kamada, Tadashi× Shibayama, Kouichi× 白石 貴博× 菅野 巖× 伊藤 浩× 吉川 京燦× 谷本 克之× 石井 徳幸× 木村 卓× 尾松 美香× 大橋 靖也× 桃原 幸子× 高野 晴成× 辻 比呂志× 安藤 裕× 鎌田 正× 柴山 晃一 |
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抄録 | ||||||
内容記述タイプ | Abstract | |||||
内容記述 | Purpose Image reconstruction for most nuro-transmission PET scan data is performed by FBP because of a positive bias caused by the noise propagation in OS-EM algorithm. A positive bias affects the estimation of binding potential (BP) calculated from radioactive concentrations of reference regions and target region in nuroreceptor binding assay. To suppress the noise propagation in OS-EM algorithm, the hybrid wavelet shrinkage (HWS) filter is developed. In this study, we performed the phantom study to evaluate the effect of HWS filter on noise propagation in OS-EM algorithm. \nMaterials and Methods Phantom studies are performed by SET-3000GCT/X (shimadzu corp). To evaluate the effect of the HWS filter, we planned the some phantom study. IEC body phantom filled with 18F (activity concentration ratios relative to background of 4:1) are used for evaluation of image quality. A pool phantom filled with 18F (11.4kBq/ml) is scanned by dynamic scan mode for evaluation the quantification of PET image. Prior to emission scans, a transmission scan (6min) for attenuation correction with a 137Cs point source with a BGO transmission detector ring coaxially attached to the GSO emission detector ring. Reconstruction parameters of PET images are follows; FBP with Gaussian filter 5.0mm, OS-EM, OS-EM with HWS filter (OS-EMw). Iteration numbers in OS-EM algorithm are varied from 1 to 100 to evaluate the noise propagation. \nResults In pool phantom study, a positive bias at low count rate is shown in PET images reconstructed by OS-EM algorithm, while any biases are not shown in images reconstructed by FBP and OS-EMw algorithm. The N10 values are diverged due to noise propagation in OS-EM algorithm while N10 values calculated from PET image reconstructed by OS-EMw algorithm are convergence at the point of 10 iterations in IEC body phantom study. Similarly, the Q10 values are diverged depends on iteration number in OS-EM algorithm while that of OS-EMw has fast convergence. Furthermore, these results indicate that OS-EMw has the fast convergence of pixel number and suppress the noise propagation. \nConclusion According to our study, OS-EMw has fast convergence and suppresses the noise propagation in OS-EM algorithm. These results show that HWS filter can be a standard de-noising method for nuro-recptor PET imaging with OS-EM algorithm. |
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会議概要(会議名, 開催地, 会期, 主催者等) | ||||||
内容記述タイプ | Other | |||||
内容記述 | Annual Congress of the European Association of Nuclear Medicine | |||||
発表年月日 | ||||||
日付 | 2012-10-31 | |||||
日付タイプ | Issued |