2015
DOI: 10.1088/0031-9155/60/18/7229
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Development of a real-time monitoring system for intra-fractional motion in intracranial treatment using pressure sensors

Abstract: This study developed a dedicated real-time monitoring system to detect intra-fractional head motion in intracranial radiotherapy using pressure sensors. The dedicated real-time monitoring system consists of pressure sensors with a thickness of 0.6 mm and a radius of 9.1 mm, a thermoplastic mask, a vacuum pillow, and a baseplate. The four sensors were positioned at superior-inferior and right-left sides under the occipital area. The sampling rate of pressure sensors was set to 5 Hz. First, we confirmed that the… Show more

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Cited by 6 publications
(13 citation statements)
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“…The respiratory movement has a significant effect on the radiation dose distribution and radiotherapy effect of lung cancer, which is one of the important factors to be considered when the target region expands outside (11). Therefore, many scholars have carried out relevant research to reduce the influence of tumor displacement on the target area (12).…”
Section: Discussionmentioning
confidence: 99%
“…The respiratory movement has a significant effect on the radiation dose distribution and radiotherapy effect of lung cancer, which is one of the important factors to be considered when the target region expands outside (11). Therefore, many scholars have carried out relevant research to reduce the influence of tumor displacement on the target area (12).…”
Section: Discussionmentioning
confidence: 99%
“…This monitoring system can detect force within the occipital region using pressure sensors (FSR402; Interlink Electronics) and can measure displacement according to changes in force by following Hook's law. Briefly, the force for the occipital region ( F (N)), head displacement (∆ d (mm)), and the spring constant of the vacuum pillow k (N/mm) can be expressed by Hook's law as follows: F=k×Δd∆ d is expressed in the next expression by transforming Equation () as follows: Δd=Fk.The displacement of the vacuum pillow can be obtained from measurements of sensor pressure P (kPa) and the sensor area A (mm 2 ) as follows: Δd=P×Ak.The pressure sensor has high sensitivity that facilitates direct contact with the occipital region of the head, and our system can theoretically detect head displacement with a resolution of 1.3 × 10 −4 mm 12 …”
Section: Methodsmentioning
confidence: 99%
“…20 Therefore, we inserted a foam sheet (made from natural rubber origin, with a thickness of 3 mm and a density of 0.100 ± 0.03 kg/m 3 ) under the pressure sensors to improve the sensitivity and equalization of pressure in the occipital region as compared to the procedure followed in our previous study. 12 As the pressure sensors in this system make angles that reflect the shape of the back of the head in a horizontal direction, the displacement could measure pressure based on Equation (3) (unless head displacement moved in parallel for each axis). Briefly, a displacement in the superior-inferior (SI) direction (Δd SI (t)) was proportional to the mean value of the pressure in the superior side, whereas P s (N) and the pressure in the inferior side (P i (N)) (with a displacement in the right-left (RL) direction (Δd RL (t)) was proportional to the mean value of the pressure in the right side (P r (N)) and the pressure in the left side (P l (N)); a displacement in the posterioranterior (PA) direction (Δd PA (t)) was proportional to the mean value of the pressure in each of the four sensors.…”
Section: Measurement Of Intrafraction Displacementmentioning
confidence: 99%
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“…The vacuum pillow could be customized to the patient’s occipital shape to create uniform pressure on the patient’s head. We also used a dedicated real-time monitoring system [ 16 ] that consisted of pressure sensors (FSR®402, Interlink Electronics, CA, USA) with a thickness of 0.6 mm and a radius of 9.1 mm to detect the pressure on the patient’s head. Four sensors are able to detect the absolute pressures at the occipital region as voltages, with a sampling rate of 15 .…”
Section: Methodsmentioning
confidence: 99%