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. 2012 Nov 8;13(6):3818.
doi: 10.1120/jacmp.v13i6.3818.

Evaluation of mechanical accuracy for couch-based tracking system (CBTS)

Suk Lee  1 , Kyung-Hwan Chang, Jand Bo Shim, Yuanjie Cao, Chang Ki Lee, Sam Ju Cho, Dae Sik Yang, Young Je Park, Won Seob Yoon, Chul Yong Kim
Affiliations

Evaluation of mechanical accuracy for couch-based tracking system (CBTS)

Suk Lee et al. J Appl Clin Med Phys. .

Abstract

This study evaluated the mechanical accuracy of an in-house-developed couch-based tracking system (CBTS) according to respiration data. The overall delay time of the CBTS was calculated, and the accuracy, reproducibility, and loading effect of the CBTS were evaluated according to the sinusoidal waveform and various respiratory motion data of real patients with and without a volunteer weighing 75kg. The root mean square (rms) error of the accuracy, the reproducibility, and the sagging measurements were calculated for the three axes (X, Y, and Z directions) of the CBTS. The overall delay time of the CBTS was 0.251 sec. The accuracy and reproducibility in the Z direction in real patient data were poor, as indicated by high rms errors. The results of the loading effect were within 1.0 mm in all directions. This novel CBTS has the potential for clinical application for tumor tracking in radiation therapy.

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Figures

Figure 1
Figure 1. The tracking procedure of the couch‐based tracking system (CBTS). A volunteer was positioned on the treatment table of a linear accelerator (a). After the surface position information of the patient using AlignRT was acquired (b, c), the data were transferred to the tracking program of the CBTS (d, e). The CBTS is tracked according to the respiratory motion (f).
Figure 2
Figure 2. The circuit diagram of the controller component.
Figure 3
Figure 3. The driving component of the couch‐based tracking system: (a) the structure of the couch‐based tracking system; (b) three BLDC motors; (c) MCU (micro controller unit); (d) three BLDC motor drivers; (e) transmissive linear strip and transmissive optical encoder.
Figure 4
Figure 4. The couch‐based tracking system (CBTS) after patient set‐up: (1) the 3D camera of the AlignRT system; (2) the CBTS; (3) the tracking program of the CBTS.
Figure 5
Figure 5. The results of the tracking data (b) according to the sinusoidal waveform (a) without a volunteer. The red and blue lines show the respiration data and the tracking data, respectively.
Figure 6
Figure 6. The results of the tracking data (b) according to the respiration data of real patients (a) without a volunteer. The red and blue lines show the respiration data and the tracking data, respectively.
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