Poster + Presentation + Paper
4 April 2022 A beam-filter-based low-dose imaging for multi-detector-row helical CT
Author Affiliations +
Conference Poster
Abstract
Low-dose CT has been investigated and employed in various forms for clinical practices. One of the viable options for low-dose imaging is using a multi-slit beam collimator to achieve a sparse sampling. We have earlier demonstrated the feasibility of such technique, and extended the method for dual-energy imaging from a single scan using a multi-slit beam-filter in the circular CBCT system. Multi-detector-row helical CT is indeed in wide use in the clinics. In this work, we continue to explore the beam-filter based imaging technique in the multi-row helical CT scans. We conducted a simulation study by applying a virtual filter to the real data acquired from a helical CT scanner. We separated the sinograms of each row from the multi-row helical CT data, and removed the streaks using a notch filter in the Fourier domain of each sinogram. We then reconstructed the image by use of the filtered-backprojection algorithm and reduced the image noise by applying l0-norm based smoothing.
Conference Presentation
© (2022) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Sunho Lim, Subong Hyun, Chanyoung Oh, and Seungryong Cho "A beam-filter-based low-dose imaging for multi-detector-row helical CT", Proc. SPIE 12031, Medical Imaging 2022: Physics of Medical Imaging, 120312M (4 April 2022); https://doi.org/10.1117/12.2612801
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KEYWORDS
X-ray computed tomography

Computed tomography

Image filtering

Imaging systems

Image restoration

Linear filtering

CT reconstruction

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