Tumor motion tracking based on a four-dimensional computed tomography respiratory motion model driven by an ultrasound tracking technique

Abstract

Background: An ultrasound image tracking algorithm (UITA) was combined with four-dimensional computed tomography (4DCT) to create a real-time tumor motion-conversion model. The real-time position of a lung tumor phantom based on the real-time diaphragm motion trajectories detected by ultrasound imaging in the superior-inferior (SI) and medial-lateral (ML) directions were obtained.Methods: Three different tumor motion-conversion models were created using a respiratory motion simulation system (RMSS) combined with 4DCT. The tumor tracking error was verified using cone-beam computed tomography (CBCT). The tumor motion-conversion model was produced by using the UITA to monitor the motion trajectories of the diaphragm phantom in the SI direction, and using 4DCT to monitor the motion trajectories of the tumor phantom in the SI and ML directions over the same time period, to obtain parameters for the motion-conversion model such as the tumor center position and the amplitude and phase ratios.Results: The tumor movement was monitored for 90 s using CBCT to determine the real motion trajectories of the tumor phantom and using ultrasound imaging to simultaneously record the diaphragm movement. The absolute error of the motion trajectories of the real and estimated tumor varied between 0.5 and 2.1 mm in the two directions.Conclusions: This study has demonstrated the feasibility of using ultrasound imaging to track diaphragmatic motion combined with a 4DCT tumor motion-conversion model to track tumor motion in the SI and ML directions. The proposed method makes tracking a lung tumor feasible in real time, including under different breathing conditions.

The Importance of Respiratory Rate Monitoring: From Healthcare to Sport and Exercise

“…Respiratory gating techniques have also been implemented with the use of an infrared respiratory camera tracking the movements of a reflective marker box placed on the patient's abdominal surface [258]. Another alternative technique for respiratory motion compensation during radiotherapy is based on ultrasound motion tracking [259,260]. The ultrasound system used by Ting et al [259,260] records respiratory movements at 30 Hz, with a total delay time of approximately 350 ms.…”

“…Another alternative technique for respiratory motion compensation during radiotherapy is based on ultrasound motion tracking [259,260]. The ultrasound system used by Ting et al [259,260] records respiratory movements at 30 Hz, with a total delay time of approximately 350 ms. Together with the use of respiratory motion algorithms, these performances may favor a reduction in the size of the planning target volume margin and an increase in the accuracy of the radiotherapy dose delivery [260].…”

Biomedical image restoration using machine learning GPU acceleration approach for precision improvement

“…Initially, we propose a theoretical methodology for a thorough examination of the Principal Components Analysis-based pulmonary movement model. The theoretical explanation for Principal Components Analysis's success in modeling pulmonary movement is presented [15]. We'll see that it's closely related to Lows physiological 5D pulmonary movement model, and these 2 models are truly equal in certain situations [16].…”

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“…Real-time motion/tumor tracking allows SBRT to be performed with high precision and escalated doses. 20,21 Tumor tracking methods can be divided into two major techniques: (1) direct methods that track tumor location via X-ray [22][23][24] , magnetic resonance (MR) 25 , or ultrasound (US) 12,26,27 imaging. (2) Indirect methods, where tumor position is estimated by tracking a surrogate motion that is correlated with tumor motion.…”