
Proceedings Paper
An investigation of low-dose 3D scout scans for computed tomographyFormat | Member Price | Non-Member Price |
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Paper Abstract
Purpose: Commonly 2D scouts or topograms are used prior to CT scan acquisition. However, low-dose 3D scouts
could potentially provide additional information for more effective patient positioning and selection of acquisition
protocols. We propose using model-based iterative reconstruction to reconstruct low exposure tomographic data to
maintain image quality in both low-dose 3D scouts and reprojected topograms based on those 3D scouts.
Methods: We performed tomographic acquisitions on a CBCT test-bench using a range of exposure settings from
16.6 to 231.9 total mAs. Both an anthropomorphic phantom and a 32 cm CTDI phantom were scanned. The penalized-likelihood
reconstructions were made using Matlab and CUDA libraries and reconstruction parameters were tuned to
determine the best regularization strength and delta parameter. RMS error between reconstructions and the highest
exposure reconstruction were computed, and CTDIW values were reported for each exposure setting. RMS error for
reprojected topograms were also computed.
Results: We find that we are able to produce low-dose (0.417 mGy) 3D scouts that show high-contrast and large
anatomical features while maintaining the ability to produce traditional topograms.
Conclusions: We demonstrated that iterative reconstruction can mitigate noise in very low exposure CT acquisitions
to enable 3D CT scout. Such additional 3D information may lead to improved protocols for patient positioning and
acquisition refinements as well as a number of advanced dose reduction strategies that require localization of
anatomical features and quantities that are not provided by simple 2D topograms.
Paper Details
Date Published: 9 March 2017
PDF: 6 pages
Proc. SPIE 10132, Medical Imaging 2017: Physics of Medical Imaging, 101322M (9 March 2017); doi: 10.1117/12.2255514
Published in SPIE Proceedings Vol. 10132:
Medical Imaging 2017: Physics of Medical Imaging
Thomas G. Flohr; Joseph Y. Lo; Taly Gilat Schmidt, Editor(s)
PDF: 6 pages
Proc. SPIE 10132, Medical Imaging 2017: Physics of Medical Imaging, 101322M (9 March 2017); doi: 10.1117/12.2255514
Show Author Affiliations
Juliana Gomes, Johns Hopkins Univ. (United States)
Grace J. Gang, Johns Hopkins Univ. (United States)
Grace J. Gang, Johns Hopkins Univ. (United States)
Aswin Mathews, Johns Hopkins Univ. (United States)
J. Webster Stayman, Johns Hopkins Univ. (United States)
J. Webster Stayman, Johns Hopkins Univ. (United States)
Published in SPIE Proceedings Vol. 10132:
Medical Imaging 2017: Physics of Medical Imaging
Thomas G. Flohr; Joseph Y. Lo; Taly Gilat Schmidt, Editor(s)
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