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Wyszukujesz frazę "respiratory motion" wg kryterium: Temat


Wyświetlanie 1-2 z 2
Tytuł:
Modelling the effects of lung cancer motion due to respiration
Autorzy:
Adamczyk, Marta
Adamczyk, Sebastian
Piotrowski, Tomasz
Powiązania:
https://bibliotekanauki.pl/articles/148246.pdf
Data publikacji:
2020
Wydawca:
Instytut Chemii i Techniki Jądrowej
Tematy:
dosimetric plan verification
external beam radiation therapy
lung cancer
respiratory motion
Opis:
Background and objectives: To justify the concept of validating conformal versus intensity-modulated approach in the treatment of non-small cell lung cancer (NSCLC). Materials and methods: For 10 patients representative of the spectrum of tumour sizes and locations, two plans were prepared: one with three-dimensional conformal radiation therapy (3DCRT) technique and the other with intensity-modulated radiation therapy (IMRT) technique. Preliminary measurements were performed in static conditions. For each of the fi eld angles considered, the motion kernel was generated to simulate tumour motion trajectories, with the largest amplitude in the cranio-caudal direction of 4, 6, and 8 mm. The measurement results determined the agreement between the planned and measured doses. Results: No statistically signifi cant differences were found between the motion patterns, with the smallest amplitudes for clinical target volume in 3DCRT. For IMRT, the signifi cant differences between 0 mm vs. 6 mm and 0 mm vs. 8 mm amplitudes were found. The motion impact on delivered vs. planned doses had less effect on the oesophagus in 3DCRT compared to that in IMRT. The observed differences were comparable for the heart. Interpretation and conclusions: For maximal amplitudes below 4 mm, the disagreement between planned and delivered doses can be neglected. However, the amplitudes above 5 mm and 7 mm lead to signifi cant changes in IMRT and 3DCRT dose distribution, respectively.
Źródło:
Nukleonika; 2020, 65, 4; 95-103
0029-5922
1508-5791
Pojawia się w:
Nukleonika
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Intelligent sensing and monitoring : respiratory motion prediction for tumor following radiotherapy
Autorzy:
Ichiji, K.
Homma, N.
Sakai, M.
Bukovsky, I.
Zhang, X.
Osanai, M.
Abe, M.
Sugita, N.
Yoshizawa, M.
Powiązania:
https://bibliotekanauki.pl/articles/91582.pdf
Data publikacji:
2012
Wydawca:
Społeczna Akademia Nauk w Łodzi. Polskie Towarzystwo Sieci Neuronowych
Tematy:
intelligent sensing
monitoring
respiratory motion
tumor
radiotherapy
time-varying seasonal autoregressive model
TVSAR model
multiple regression
MR
multilayer perceptron
MLP
support vector regression
SVR
Opis:
This paper presents a medical application of the intelligent sensing and monitoring, a new lung tumor motion prediction method for tumor following radiation therapy. An essential core of the method is accurate estimation of complex fluctuation of time-varying periodical nature of lung tumor motion. Such estimation is achieved by using a novel multiple time-varying seasonal autoregressive (TVSAR) model in which several windows of different time-lengths are used to calculate correlation based fluctuation of periodic nature in the motion. The proposed method provides the prediction as a combination of those based on different window lengths. Multiple regression (MR), multilayer perceptron (MLP) and support vector regression (SVR) are used to combine and the prediction performances are evaluated by using clinical lung tumor motion. The proposed methods with the combined predictions showed high accurate prediction and are superior to the single different predictions. The average errors of MR, MLP, and SVR were 0.8455,0.8507, and 0.7530 mm at 0.5 s ahead, respectively. The results are clinically sufficient and thus clearly demonstrate that the proposed TVSAR with an appropriate combination method is useful for improving the prediction performance.
Źródło:
Journal of Artificial Intelligence and Soft Computing Research; 2012, 2, 4; 331-342
2083-2567
2449-6499
Pojawia się w:
Journal of Artificial Intelligence and Soft Computing Research
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

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