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Brain PET motion correction using 3D face-shape model: the first clinical study
https://repo.qst.go.jp/records/2001364
https://repo.qst.go.jp/records/20013642a4f5f26-3287-4c5d-a0f3-b9977938e9f7
| アイテムタイプ | 学術雑誌論文 / Journal Article(1) | |||||||||||||||
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| 公開日 | 2025-04-10 | |||||||||||||||
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| タイトル | Brain PET motion correction using 3D face-shape model: the first clinical study | |||||||||||||||
| 言語 | en | |||||||||||||||
| 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_6501 | |||||||||||||||
| 資源タイプ | journal article | |||||||||||||||
| 著者 |
Iwao Yuma
× Iwao Yuma
× Akamatsu Go
× Tashima Hideaki
× Takahashi Miwako
× Yamaya Taiga
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| 抄録 | ||||||||||||||||
| 内容記述タイプ | Abstract | |||||||||||||||
| 内容記述 | Objective: Head motions during brain PET scan cause degradation of brain images, but head fixation or external-maker attachment become burdensome on patients. Therefore, we have developed a motion correction method that uses a 3D face-shape model generated by a range-sensing camera (Kinect) and by CT images. We have successfully corrected the PET images of a moving mannequin-head phantom containing radioactivity. Here, we conducted a volunteer study to verify the effectiveness of our method for clinical data. Methods: Eight healthy men volunteers aged 22-45 years underwent a 10-min head-fixed PET scan as a standard of truth in this study, which was started 45 min after 18F-fluorodeoxyglucose (285 ± 23 MBq) injection, and followed by a 15-min head-moving PET scan with the developed Kinect based motion-tracking system. First, selecting a motion-less period of the head-moving PET scan provided a reference PET image. Second, CT images separately obtained on the same day were registered to the reference PET image, and create a 3D face-shape model, then, to which Kinect-based 3D face-shape model matched. This matching parameter was used for spatial calibration between the Kinect and the PET system. This calibration parameter and the motion-tracking of the 3D face shape by Kinect comprised our motion correction method. The head-moving PET with motion correction was compared with the head-fixed PET images visually and by standard uptake value ratios (SUVRs) in the seven volume-of-interest regions. To confirm the spatial calibration accuracy, a test-retest experiment was performed by repeating the head-moving PET with motion correction twice where the volunteer's pose and the sensor's position were different. Results: No difference was identified visually and statistically in SUVRs between the head-moving PET images with motion correction and the head-fixed PET images. One of the small nuclei, the inferior colliculus, was identified in the head-fixed PET images and in the head-moving PET images with motion correction, but not in those without motion correction. In the test-retest experiment, the SUVRs were well correlated (determinant coefficient, r2 = 0.995). Conclusion: Our motion correction method provided good accuracy for the volunteer data which suggested it is useable in clinical settings. |
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| 書誌情報 |
Annals of nuclear medicine 巻 36, 号 10, p. 904-912, 発行日 2022-07 |
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| 出版者 | ||||||||||||||||
| 出版者 | Springer Nature | |||||||||||||||
| PubMed番号 | ||||||||||||||||
| 識別子タイプ | PMID | |||||||||||||||
| 関連識別子 | 35854178 | |||||||||||||||
| DOI | ||||||||||||||||
| 識別子タイプ | DOI | |||||||||||||||
| 関連識別子 | 10.1007/s12149-022-01774-0 | |||||||||||||||
