Literature DB >> 19472649

Physical performance and image optimization of megavoltage cone-beam CT.

Olivier Morin1, Jean-François Aubry, Michèle Aubin, Josephine Chen, Martina Descovich, Ali-Bani Hashemi, Jean Pouliot.   

Abstract

Megavoltage cone-beam CT (MVCBCT) is the most recent addition to the in-room CT systems developed for image-guided radiation therapy. The first generation MVCBCT system consists of a 6 MV treatment x-ray beam produced by a conventional linear accelerator equipped with a flat panel amorphous silicon detector. The objective of this study was to evaluate the physical performance of MVCBCT in order to optimize the system acquisition and reconstruction parameters for image quality. MVCBCT acquisitions were performed with the clinical system but images were reconstructed and analyzed with a separate research workstation. The geometrical stability and the positioning accuracy of the system were evaluated by comparing geometrical calibrations routinely performed over a period of 12 months. The beam output and detector intensity stability during MVCBCT acquisition were also evaluated by analyzing in-air acquisitions acquired at different exposure levels. Several system parameters were varied to quantify their impact on image quality including the exposure (2.7, 4.5, 9.0, 18.0, and 54.0 MU), the craniocaudal imaging length (2, 5, 15, and 27.4 cm), the voxel size (0.5, 1, and 2 mm), the slice thickness (1, 3, and 5 mm), and the phantom size. For the reconstruction algorithm, the study investigated the effect of binning, averaging and diffusion filtering of raw projections as well as three different projection filters. A head-sized water cylinder was used to measure and improve the uniformity of MVCBCT images. Inserts of different electron densities were placed in a water cylinder to measure the contrast-to-noise ratio (CNR). The spatial resolution was obtained by measuring the point-spread function of the system using an iterative edge blurring technique. Our results showed that the geometric stability and accuracy of MVCBCT were better than 1 mm over a period of 12 months. Beam intensity variations per projection of up to 35.4% were observed for a 2.7 MU MVCBCT acquisition. These variations did not cause noticeable reduction in the image quality. The results on uniformity suggest that the cupping artifact occurring with MVCBCT is mostly due to off-axis response of the detector and not scattered radiation. Simple uniformity correction methods were developed to nearly eliminate this cupping artifact. The spatial resolution of the baseline MVCBCT reconstruction protocol was approximately 2 mm. An optimized reconstruction protocol was developed and showed an improvement of 75% in CNR with a penalty of only 8% in spatial resolution. Using this new reconstruction protocol, large adipose and muscular structures were differentiated at an exposure of 9 MU. A reduction of 36% in CNR was observed on a larger (pelvic-sized) phantom. This study demonstrates that soft-tissue visualization with MVCBCT can be substantially improved with proper system settings. Further improvement is expected from the next generation MVCBCT system with an optimized megavoltage imaging beamline.

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Year:  2009        PMID: 19472649     DOI: 10.1118/1.3096706

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  9 in total

1.  Computed tomography as a source of electron density information for radiation treatment planning.

Authors:  Witold Skrzyński; Sylwia Zielińska-Dabrowska; Marta Wachowicz; Wioletta Slusarczyk-Kacprzyk; Paweł F Kukołowicz; Wojciech Bulski
Journal:  Strahlenther Onkol       Date:  2010-05-17       Impact factor: 3.621

2.  Super-resolution imaging in a multiple layer EPID.

Authors:  Haijian Chen; Joerg Rottmann; Stephen Sf Yip; Daniel Morf; Rony Füglistaller; Josh Star-Lack; George Zentai; Ross Berbeco
Journal:  Biomed Phys Eng Express       Date:  2017-02-21

3.  Assessment and evaluation of MV image guidance system performance in radiotherapy.

Authors:  Nithya Kanakavelu; E James Jebaseelan Samuel
Journal:  Rep Pract Oncol Radiother       Date:  2015-02-07

4.  Low-dose megavoltage cone-beam computed tomography using a novel multi-layer imager (MLI).

Authors:  Marios Myronakis; Pascal Huber; Mathias Lehmann; Rony Fueglistaller; Matthew Jacobson; Yue-Houng Hu; Paul Baturin; Adam Wang; Mengying Shi; Thomas Harris; Daniel Morf; Ross Berbeco
Journal:  Med Phys       Date:  2020-01-28       Impact factor: 4.071

5.  Influence of acquisition parameters on MV-CBCT image quality.

Authors:  Olivier Gayou
Journal:  J Appl Clin Med Phys       Date:  2012-01-05       Impact factor: 2.102

6.  Feasibility of MV CBCT-based treatment planning for urgent radiation therapy: dosimetric accuracy of MV CBCT-based dose calculations.

Authors:  Mareike Held; Penny K Sneed; Shannon E Fogh; Jean Pouliot; Olivier Morin
Journal:  J Appl Clin Med Phys       Date:  2015-11-08       Impact factor: 2.102

7.  Impact of different CBCT imaging monitor units, reconstruction slice thicknesses, and planning CT slice thicknesses on the positioning accuracy of a MV-CBCT system in head-and-neck patients.

Authors:  Ming X Jia; Xu Zhang; Na Li; Cheng B Han
Journal:  J Appl Clin Med Phys       Date:  2012-09-06       Impact factor: 2.102

8.  Peripheral dose from megavoltage cone-beam CT imaging for nasopharyngeal carcinoma image-guided radiation therapy.

Authors:  Ming X Jia; Xu Zhang; Na Li; En Y Wang; Da W Liu; Wei S Cai
Journal:  J Appl Clin Med Phys       Date:  2012-09-06       Impact factor: 2.102

9.  An investigation into factors affecting electron density calibration for a megavoltage cone-beam CT system.

Authors:  Jessica Hughes; Lois C Holloway; Alexandra Quinn; Andrew Fielding
Journal:  J Appl Clin Med Phys       Date:  2012-09-06       Impact factor: 2.102

  9 in total

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