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Erschienen in: Journal of Digital Imaging 6/2013

01.12.2013

Automated Pediatric Abdominal Effective Diameter Measurements Versus Age-Predicted Body Size for Normalization of CT Dose

verfasst von: Phillip M. Cheng, Linda A. Vachon, Vinay A. Duddalwar

Erschienen in: Journal of Imaging Informatics in Medicine | Ausgabe 6/2013

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Abstract

There has been increasing interest in adjusting CT radiation dose data for patient body size. A method for automated computation of the abdominal effective diameter of a patient from a CT image has previously only been tested in adult patients. In this work, we tested the method on a set of 128 pediatric patients aged 0.8 to 12.9 years (average 8.0 years, SD = 3.7 years) who had CT abdomen/pelvis exams performed on a Toshiba Aquilion 64 scanner. For this set of patients, age-predicted abdominal effective diameter extrapolated based on data from the International Commission on Radiation Units and Measurements was a relatively poor predictor of measured effective diameter. The mean absolute percentage error between the CTDI normalization coefficient calculated from a manually measured effective diameter and the coefficient determined by age-predicted effective diameter was 12.3 % with respect to a 32 cm phantom (range 0.0–52.8 %, SD 8.7 %) and 12.9 % with respect to a 16 cm phantom (range 0.0–56.4 %, SD 9.2 %). In contrast, there is a close correspondence between the automated and manually measured patient effective diameters, with a mean absolute error of 0.6 cm (error range 0.2–1.3 cm). This correspondence translates into a high degree of correspondence between normalization coefficients determined by automated and manual measurements; the mean absolute percentage error was 2.1 % with respect to a 32 cm phantom (range 0.0–8.1 %, SD = 1.4 %) and 2.3 % with respect to a 16 cm phantom (range 0.0–9.3 %, SD = 1.6 %).
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Metadaten
Titel
Automated Pediatric Abdominal Effective Diameter Measurements Versus Age-Predicted Body Size for Normalization of CT Dose
verfasst von
Phillip M. Cheng
Linda A. Vachon
Vinay A. Duddalwar
Publikationsdatum
01.12.2013
Verlag
Springer US
Erschienen in
Journal of Imaging Informatics in Medicine / Ausgabe 6/2013
Print ISSN: 2948-2925
Elektronische ISSN: 2948-2933
DOI
https://doi.org/10.1007/s10278-013-9623-6

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