Abstract
Purpose: Kilovoltage CBCT has become a useful clinical tool which provides in‐room image guidance for radiation therapy. Frequent use of CBCT also raises patient safety concern, because tomographic images are obtained by reconstruction from projection data acquired at hundreds of angular views, which may accumulate to an un‐negligible amount of radiationdose. It is therefore desired to develop a low‐dose CBCTimaging technique that requires smaller amount of projection data while can still yield images sufficing clinical needs. In this work, we have applied a new TV‐minimization algorithm to reconstructCBCTimages from a fraction of the amount of projection data currently used and have evaluated the image quality according to established quality‐assurance procedures.Materials and methods: We have acquired real projection data of a CATPHAN phantom using a clinical on‐board imaging system (Varian Medical Systems, Palo Alto, CA). We then applied the TV‐minimization algorithm to reconstructimages from subsets of the full, 628‐projection data set. The subsets contain from 360 down to 60 projections. We then examined the reconstructed images by calculating a number of metrics, including spatial resolution, contrast linearity, and low‐constrast resolution, and compared the results to the established quality‐assurance (QA) standards. Results: The imagesreconstructed by use of the TV‐minimization algorithm from the reduced data sets appeared to be comparable to the imagesreconstructed from the full data set by the FDK algorithm. In addition, the tested image‐quality metrics can satisfy the QA requirement for imagesreconstructed from as few as 100 projections. Conclusion: The TV‐minimization algorithm can yield CBCTimages from reduced projection data without significant sacrifice of image quality. The imagesreconstructed from about 100 projections may be potentially useful for clinical applications according to QA results.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
