High-speed low-noise optical respiratory monitoring for spot scanning proton therapy

被引:3
作者
Belikhin, Mikhail [1 ,2 ,3 ]
Pryanichnikov, Alexander [1 ,3 ]
Balakin, Vladimir [1 ]
Shemyakov, Alexander [1 ]
Zhogolev, Pavel [1 ]
Chernyaev, Alexander [2 ]
机构
[1] JSC Protom, Protvino 142281, Russia
[2] Lomonosov Moscow State Univ, Moscow 119992, Russia
[3] German Canc Res Ctr, Div Biomed Phys Radiat Oncol, D-69120 Heidelberg, Germany
来源
PHYSICA MEDICA-EUROPEAN JOURNAL OF MEDICAL PHYSICS | 2023年 / 112卷
关键词
Spot scanning proton therapy; Respiratory monitoring; Intrafractional tumor motion; Dynamic phantom; Motion management; SURFACE IMAGING-SYSTEM; MOTION; RADIOTHERAPY; ACCURACY; TRACKING;
D O I
10.1016/j.ejmp.2023.102612
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
Purpose: To investigate a novel optical markerless respiratory sensor for surface guided spot scanning proton therapy and to measure its main technical characteristics.Methods: The main characteristics of the respiratory sensor including sensitivity, linearity, noise, signal-to-noise, and time delay were measured using a dynamic phantom and electrical measuring equipment on a laboratory stand. The respiratory signals of free breathing and deep-inspiration breath-hold patterns were acquired for various distances with a volunteer. A comparative analysis of this sensor with existing commercially available and experimental respiratory monitoring systems was carried out based on several criteria including principle of operation, patient contact, application to proton therapy, distance range, accuracy (noise, signal-to-noise ratio), and time delay (sampling rate).Results: The sensor provides optical respiratory monitoring of the chest surface over a distance range of 0.4-1.2 m with the RMS noise of 0.03-0.60 mm, SNR of 40-15 dB (for motion with peak-to-peak of 10 mm), and time delay of 1.2 & PLUSMN; 0.2 ms.Conclusions: The investigated optical respiratory sensor was found to be appropriate to use in surface guided spot scanning proton therapy. This sensor combined with a fast respiratory signal processing algorithm may provide accurate beam control and a fast response in patients' irregular breathing movements. A careful study of correlation between the respiratory signal and 4DCT data of tumor position will be required before clinical implementation.
引用
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页数:12
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