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Home > 학회활동 > 국제학술지 |
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작성일 : 17-08-16 11:03
| 저 자 |
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Moo-Sub Kim et al |
| 제 목 |
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The first step towards a respiratory motion prediction for natural-breathing by using a motion generator |
| 학회지명 |
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Journal of the Korean Physical Society |
| 권 호 |
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70, 6 |
| 페이지 |
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621–628 |
| 년,월 |
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2017-3-1 |
| 링 크 |
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| Abstract |
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Respiratory gated radiation therapy (RGRT) gives accurate results when a patient’s breathing is stable and regular. Thus, the patient should be acutely aware during respiratory pattern training before undergoing the RGRT treatment. To bypass the process of respiratory pattern training, we propose a tumor location prediction system for RGRT that uses only the natural respiratory volume, and we confirm its application. In order to verify the proposed tumor location prediction system, we used an in-house phantom set. The set involved a chest phantom with target, external markers and a motion generator. Natural respiratory volume signals were generated using the random function in the MATLAB code. In the chest phantom, the target undergoes linear motion based on the respiratory signal. After a four-dimensional computed tomography (4DCT) scan of the in-house phantom, the motion trajectory was derived as a linear equation. The accuracy of the linear equation was compared with that of the motion algorithm used by the operating motion generator. In addition, we attempted to predict the tumor’s location by using the random respiratory volume values. The correspondence rate of the linear equation derived from the 4DCT images with the motion algorithm of the motion generator was 99.41% (p > 0.05). Also, the average error rate of the tumor-location prediction was 1.23% for 26 cases. We confirmed the applicability of our proposed tumor location prediction system using the natural respiratory volume for RGRT. If additional clinical studies can be conducted, a more accurate prediction that would not require respiratory pattern training can be realized. |
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