A study on the usefulness of methylcellulose in rectal CT based on the analysis of the differences in absorption of radiation-permeable and radiation-impermeable materials
- Authors
- Cho, Jae-Hwan; Lee, Hae-Kag; Kim, Hyun-Ju; Heo, Yeong-Cheol; Lee, Jin-Hyeok; Hong, In-Sik
- Issue Date
- Nov-2014
- Publisher
- Springer Verlag
- Keywords
- Attenuation coefficient; CT value; Methylcellulose; Rectal cancer
- Citation
- Japanese Journal of Radiology, v.32, no.11, pp 650 - 656
- Pages
- 7
- Journal Title
- Japanese Journal of Radiology
- Volume
- 32
- Number
- 11
- Start Page
- 650
- End Page
- 656
- URI
- https://scholarworks.bwise.kr/sch/handle/2021.sw.sch/11735
- DOI
- 10.1007/s11604-014-0359-0
- ISSN
- 1867-1071
- Abstract
- The purpose of this study was to use various radiation-permeable and radiation-impermeable materials, used to facilitate the observation of a lesion during a rectal computed tomography (CT) scan, in order to determine the best material to use. In regard to the study method, the radiation-permeable and radiation-impermeable materials of physiological saline, methylcellulose, contrast medium, ultrasound gel, and air were used to perform scanning with scan parameters that were used in general abdominal scanning. The GSI mode was used for material analysis. According to the results of the phantom study, the average CT value was 25.5 +/- A 5.9 HU for physiological saline, 77.6 +/- A 7.3 HU for methylcellulose, 3,070 +/- A 0.1 HU for contrast medium, 74.1 +/- A 11.9 HU for ultrasound gel, and -954.1 +/- A 10.3 HU for air. According to the analysis of materials by energy, contrast medium and physiological saline showed a dramatic decrease in the CT value as energy increased. Methylcellulose showed a gradual decrease in CT value, whereas air showed a small change in CT value according to the graph. Out of these materials, methylcellulose had the advantage of reducing discomfort in patients, and was more convenient for examiners before and after the rectal CT scan.
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Collections - College of Engineering > Department of Computer Science and Engineering > 1. Journal Articles
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