12 January 2018 Tailoring four-dimensional cone-beam CT acquisition settings for fiducial marker-based image guidance in radiation therapy
Peng Jin, Niek van Wieringen, Maarten C. C. M. Hulshof, Arjan Bel, Tanja Alderliesten
Author Affiliations +
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) 2329-4302/2018/$25.00 © 2018 SPIE
Peng Jin, Niek van Wieringen, Maarten C. C. M. Hulshof, Arjan Bel, and 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
Received: 22 August 2017; Accepted: 14 December 2017; Published: 12 January 2018
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KEYWORDS
Tumors

Computed tomography

Visibility

Image quality

Image registration

Radiotherapy

Silicon

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