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Wavelet Denoising of Dynamic PET Data: Application to the Parametric Imaging of Peripheral Benzodiazepine Receptor
https://repo.qst.go.jp/records/68757
https://repo.qst.go.jp/records/687574d670a57-a697-4fe7-9aaa-0a32e12af91f
| Item type | 会議発表用資料 / Presentation(1) | |||||
|---|---|---|---|---|---|---|
| 公開日 | 2006-11-13 | |||||
| タイトル | ||||||
| タイトル | Wavelet Denoising of Dynamic PET Data: Application to the Parametric Imaging of Peripheral Benzodiazepine Receptor | |||||
| 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 |
Shidahara, Miho
× Shidahara, Miho× Ikoma, Youko× Seki, Chie× Fujimura, Yota× Yoshida, Kinei× Ito, Hiroshi× Suhara, Tetsuya× Kanno, Iwao× 志田原 美保× 生駒 洋子× 関 千江× 藤村 洋太× 吉田 欣永× 伊藤 浩× 須原 哲也× 菅野 巖 |
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| 抄録 | ||||||
| 内容記述タイプ | Abstract | |||||
| 内容記述 | Introduction: Low signal-to-noise ratio (SNR) of time activity curve (TAC) at the voxel level causes severe bias and poor precision for estimated binding potential (BP) in peripheral benzodiazepine receptor (PBR) using Non-linear least square fitting. The purpose of this study is to evaluate noise reduction capability of wavelet denoising for estimated BP image. Methods: We applied spatial (3D) and temporal (frame) wavelet denoising to simulate data and clinical dynamic image of PBR using 18F-FEDAA1106. For denoising process, the way of thresholding wavelet coefficient (Daubecies 4) was soft-threshold for each subbands according to BayesShrink (Level4) for spatial and VISUShrink (Level3) for temporal. In simulation, we evaluated the effects of denoising in temporal dimension with irregular sampling interval. K values were mimicked human PBR study and 1000 of noisy TACs were generated (noise 1, 5, 10 and 15%). In clinical application, TAC and BP image with/without wavelet denoising for a subject were compared. Results: Wavelet denoising in temporal dimension improved overestimated BP value from 14.6% to 11.4% in case of noise level 10%. In clinical, wavelet denoising in spatial and temporal dimension can compensate the noise in TAC, however, difference between BP images of with/without wavelet denoising were not so apparent. Conclusion: Wavelet denoising improve the quality of dynamic images, however, further optimization will be required for improving SNR of BP images. |
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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 | IEEE 2006 Nuclear Science Symposium and Medical Imaging Conference | |||||
| 発表年月日 | ||||||
| 日付 | 2006-11-04 | |||||
| 日付タイプ | Issued | |||||
