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Development of simple and adaptive programs for quantification of amyloid PET images
https://repo.qst.go.jp/records/66775
https://repo.qst.go.jp/records/6677583a84d99-db85-4dd2-8b53-bdb9646775d5
| Item type | 会議発表用資料 / Presentation(1) | |||||
|---|---|---|---|---|---|---|
| 公開日 | 2018-04-16 | |||||
| タイトル | ||||||
| タイトル | Development of simple and adaptive programs for quantification of amyloid PET images | |||||
| 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 |
赤松, 剛
× 赤松, 剛× 井狩, 彌彦× Iwao, Yuma× Tashima, Hideaki× 三木, 秀哉× Yamaya, Taiga× 千田, 道雄× 赤松 剛× 岩男 悠真× 田島 英朗× 山谷 泰賀 |
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| 抄録 | ||||||
| 内容記述タイプ | Abstract | |||||
| 内容記述 | 【Purpose】 Amyloid PET can reveal in-vivo amyloid-β pathological process as a biomarker of Alzheimer’s disease. Although quantification of amyloid accumulation with standardized uptake value ratio (SUVR) has been widely performed in clinical research, a high-resolution MRI is required for spatial normalization of PET images into standard image space. Therefore, we developed a simple PET-only amyloid quantification method. However, our method cannot be widely used because the high-cost image analysis software is needed. The purpose of this study was to develop software-independent flexible programs for quantification of amyloid PET images. \n【Method】 We developed three elements of the quantification programs. At first, we generated the program to calculate the normalized cross correlation (NCC) between two PET images, which is essential to perform PET-only adaptive spatial normalization method. Then, we created the program to generate the SUVR-scaled PET images. A reference region used to normalize voxel values can be freely selected. Finally, we made the program to measure SUVR values with any regions-of-interest (ROI). These programs can manage DICOM, Analyze, NIfTI, and NEUROSTAT images. \n【Result】 Using our developed programs, we were able to obtain same NCC and SUVR values in comparison with those obtained by the commercial image analysis software. Our programs normally worked even though we managed various ROI and image formats. These programs can be applicable to all amyloid tracers using their specific ROI. \n【Conclusion】 We developed simple and adaptive programs for quantification of amyloid PET images. These programs could be useful for clinical research using amyloid PET and be applied for general-purpose software development. |
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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 | JRC2018（第74回日本放射線技術学会総会学術大会） | |||||
| 発表年月日 | ||||||
| 日付 | 2018-04-13 | |||||
| 日付タイプ | Issued | |||||
