| 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, 量子医科学研究所 分子イメージング診断治療研究部, 博士研究員 (50836591)
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| 研究期間 (年度) |
2019-04-01 – 2023-03-31
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| キーワード | Neural Network / PET/CT / dynamic images / RNN / Prediction |
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| 研究実績の概要 |
-Continuing the acquisition of patient data from the hospital, data preprocessing and mining.
-Trying with several Neural Network methods ( convolutional and recurrent) for creating the prediction model for predicting delayed images from the early and dynamic images.
-Successfully predicting delayed images, its quantitative and qualitative analysis.
-Summarizing the results, its summary and completing the paper.
-Presented a part of research result to JAMIT (Japan society of Medical Imaging Technology)
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| 現在までの達成度 (区分) |
現在までの達成度 (区分)
3: やや遅れている
理由
Changes of approach to obtain better result which delayed result summary and paper writing. C
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| 今後の研究の推進方策 |
-Submitting the completed paper for publication in good journal.
-Further research improvement with the new set of data.
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| 次年度使用額が生じた理由 |
Covid 19 prevented me to go to several business trips and society meetings, Need to attend several society meetings, pending journal publications and some GPU machines to be bought for further research analysis.
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