12 January 2018 Tailoring four-dimensional cone-beam CT acquisition settings for fiducial marker-based image guidance in radiation therapy
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Abstract
Use of four-dimensional cone-beam CT (4D-CBCT) and fiducial markers for image guidance during radiation therapy (RT) of mobile tumors is challenging due to the trade-off among image quality, imaging dose, and scanning time. This study aimed to investigate different 4D-CBCT acquisition settings for good visibility of fiducial markers in 4D-CBCT. Using these 4D-CBCTs, the feasibility of marker-based 4D registration for RT setup verification and manual respiration-induced motion quantification was investigated. For this, we applied a dynamic phantom with three different breathing motion amplitudes and included two patients with implanted markers. Irrespective of the motion amplitude, for a medium field of view (FOV), marker visibility was improved by reducing the imaging dose per projection and increasing the number of projection images; however, the scanning time was 4 to 8 min. For a small FOV, the total imaging dose and the scanning time were reduced (62.5% of the dose using a medium FOV, 2.5 min) without losing marker visibility. However, the body contour could be missing for a small FOV, which is not preferred in RT. The marker-based 4D setup verification was feasible for both the phantom and patient data. Moreover, manual marker motion quantification can achieve a high accuracy with a mean error of < 1.4    mm .
© 2018 Society of Photo-Optical Instrumentation Engineers (SPIE)
Peng Jin, Peng Jin, Niek van Wieringen, Niek van Wieringen, Maarten C. C. M. Hulshof, Maarten C. C. M. Hulshof, Arjan Bel, Arjan Bel, Tanja Alderliesten, Tanja Alderliesten, } "Tailoring four-dimensional cone-beam CT acquisition settings for fiducial marker-based image guidance in radiation therapy," Journal of Medical Imaging 5(2), 021207 (12 January 2018). https://doi.org/10.1117/1.JMI.5.2.021207 . Submission: Received: 22 August 2017; Accepted: 14 December 2017
Received: 22 August 2017; Accepted: 14 December 2017; Published: 12 January 2018
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