| 研究課題/領域番号 |
19K20685
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| 研究機関 | 国立研究開発法人量子科学技術研究開発機構 |
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研究代表者 |
BhusalChhatkuli Ritu 国立研究開発法人量子科学技術研究開発機構, 放射線医学総合研究所 分子イメージング診断治療研究部, 研究員(任非) (50836591)
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| 研究期間 (年度) |
2019-04-01 – 2022-03-31
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| キーワード | PET/CT / neural networks / list mode PET / image generation |
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| 研究実績の概要 |
- PET/CT data from 13 Pancreatic Cancer patients have been collected.
- Those collected data have been used for analysis using convolutional neural networks.
- The network was trained using the dynamic list mode PET/CT scans as training images and the delayed scan as the label/target image.
- Leave one out cross validation technique was used for the validation.
- The generated delayed images were analysed to evaluate the performance of the convolutional neural network.
- Analysis shows successful delayed scan generation with minimum error.
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| 現在までの達成度 (区分) |
現在までの達成度 (区分)
2: おおむね順調に進展している
理由
- 13 patient datasets has already been collected.
- Though further data sets required, the result was significant enough to suggest the successful generation.
-From these results, the abstract has been submitted for a conference and we are in a process of completing the first draft of journal paper.
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| 今後の研究の推進方策 |
- We still have to collect more patient datasets.
- Perform k-fold cross validation and more analysis.
- Evaluate the performance of our networks using data obtained from different machine.
- Present and publish the result.
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| 次年度使用額が生じた理由 |
We already had a GPU workstation computer available this year, so the money will be used in buying a better version according to the progress of the research and on paper publishing and conference attendance
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