NDLI: Comparison of reconstruction algorithms to extend CT reconstruction field-of-view

Content Provider	IEEE Xplore Digital Library
Author	Baojun Li Jiang Hsieh
Copyright Year	2007
Description	Author affiliation: GE Healthcare, Waukesha (Baojun Li; Jiang Hsieh)
Abstract	This paper evaluates the impact of reconstruction algorithms to extend CT reconstruction field-of-view (DFOV) on radiation dose calculation for oncology treatment planning. Three recon algorithms for extending DFOV are compared: 1) a symmetric-mirroring (SM) algorithm; 2) a sinogram interpolation (SI) algorithm; and 3) a water-cylinder fitting (WF) algorithm. Each of the IQ and anthropomorphic phantoms is scanned twice using GE Lightspeed 16. The first scans, where the phantoms are positioned inside the 50 cm DFOV, are used to establish the "ground truth"; while in the 2nd scans, the phantoms are positioned in such way that the edges are 4-8 cm outside the 50 cm DFOV. For quantitative assessment, a point of interest within 50 cm DFOV is chosen for each phantom, to which the accumulative attenuation in all views is calculated as a lst-order approximation of dose to be delivered to the point. The performance of the algorithms is evaluated by accumulative attenuation accuracy by comparing with the "ground truth". In reconstruction from all three algorithms, objects outside 50 cm DFOV are restored but image quality and accumulative attenuation varies among algorithms. The SM reconstruction results in restoration of low-attenuating objects in small truncation cases, but its ability to restore high-attenuating objects in large truncation cases is limited and produces worst attenuation accuracy due to the overly simplicity of the algorithm. The SI algorithm provides improved accuracy even in large truncation cases, especially for large-attenuating objects. But the CT number still significantly depart from the ground truth due to the lack of consistency in sinogram interpolation. WF produces significantly better image quality and >17% higher accuracy than SM and SI in all cases. In summary, it is feasible to extend the CT DFOV with algorithmic corrections. Among the selected algorithms, the WF algorithm provides reconstructions with the best quality for oncology treatment planning.
Starting Page	3912
Ending Page	3914
File Size	398488
Page Count	3
File Format	PDF
ISBN	9781424409228
ISSN	10957863
DOI	10.1109/NSSMIC.2007.4436973
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-10-26
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Reconstruction algorithms Image reconstruction Computed tomography Imaging phantoms Attenuation Samarium Image restoration Oncology Interpolation Image quality
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
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