A Time-Varying Seasonal Autoregressive Model-Based Prediction of Respiratory Motion for Tumor following Radiotherapy
المؤلفون المشاركون
Sakai, Masao
Ichiji, Kei
Takai, Yoshihiro
Sugita, Norihiro
Abe, Makoto
Yoshizawa, Makoto
Zhang, Xiaoyong
Homma, Noriyasu
Narita, Yuichiro
المصدر
Computational and Mathematical Methods in Medicine
العدد
المجلد 2013، العدد 2013 (31 ديسمبر/كانون الأول 2013)، ص ص. 1-9، 9ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2013-06-10
دولة النشر
مصر
عدد الصفحات
9
التخصصات الرئيسية
الملخص EN
To achieve a better therapeutic effect and suppress side effects for lung cancer treatments, latency involved in current radiotherapy devices is aimed to be compensated for improving accuracy of continuous (not gating) irradiation to a respiratory moving tumor.
A novel prediction method of lung tumor motion is developed for compensating the latency.
An essential core of the method is to extract information valuable for the prediction, that is, the periodic nature inherent in respiratory motion.
A seasonal autoregressive model useful to represent periodic motion has been extended to take into account the fluctuation of periodic nature in respiratory motion.
The extended model estimates the fluctuation by using a correlation-based analysis for adaptation.
The prediction performance of the proposed method was evaluated by using data sets of actual tumor motion and compared with those of the state-of-the-art methods.
The proposed method demonstrated a high performance within submillimeter accuracy.
That is, the average error of 1.0 s ahead predictions was 0.931±0.055 mm.
The accuracy achieved by the proposed method was the best among those by the others.
The results suggest that the method can compensate the latency with sufficient accuracy for clinical use and contribute to improve the irradiation accuracy to the moving tumor.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Ichiji, Kei& Homma, Noriyasu& Sakai, Masao& Narita, Yuichiro& Takai, Yoshihiro& Zhang, Xiaoyong…[et al.]. 2013. A Time-Varying Seasonal Autoregressive Model-Based Prediction of Respiratory Motion for Tumor following Radiotherapy. Computational and Mathematical Methods in Medicine،Vol. 2013, no. 2013, pp.1-9.
https://search.emarefa.net/detail/BIM-468315
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Ichiji, Kei…[et al.]. A Time-Varying Seasonal Autoregressive Model-Based Prediction of Respiratory Motion for Tumor following Radiotherapy. Computational and Mathematical Methods in Medicine No. 2013 (2013), pp.1-9.
https://search.emarefa.net/detail/BIM-468315
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Ichiji, Kei& Homma, Noriyasu& Sakai, Masao& Narita, Yuichiro& Takai, Yoshihiro& Zhang, Xiaoyong…[et al.]. A Time-Varying Seasonal Autoregressive Model-Based Prediction of Respiratory Motion for Tumor following Radiotherapy. Computational and Mathematical Methods in Medicine. 2013. Vol. 2013, no. 2013, pp.1-9.
https://search.emarefa.net/detail/BIM-468315
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-468315
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر