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Erschienen in: Abdominal Radiology 5/2015

01.06.2015

Reducing the radiation dose for computed tomography colonography using model-based iterative reconstruction

verfasst von: Patrick J. Millerd, Robert G. Paden, Jeffrey T. Lund, Amy K. Hara, Wendy L. Stiles, Miao He, Qing Wu, C. Daniel Johnson

Erschienen in: Abdominal Radiology | Ausgabe 5/2015

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Abstract

Purpose

To determine whether radiation doses during computed tomography (CT) colonography (CTC) can be further reduced while maintaining image quality using model-based iterative reconstruction (MBIR).

Methods

Twenty patients underwent CTC at a standard dose in supine and prone positions and at a reduced dose in the supine position. All other scan parameters (except noise index) were held constant. Acquisitions were reconstructed using 3 algorithms: filtered back projection (FBP), adaptive statistical iterative reconstruction (ASIR), and MBIR. Noise was assessed quantitatively by comparing the SD in Hounsfield units at 5 standard locations. Qualitative assessment was made by 2 experienced radiologists blinded to technique who subjectively scored image quality, noise, and sharpness (from 0 to 4).

Results

The standard-dose and reduced-dose CT dose index/dose-length product were 6.7/328 and 2.7 mGy/129 mGy-cm, respectively (60 % reduction). Measured mean noise level increased from the standard to the reduced dose (FBP, from 58.6 to 97.2; ASIR from 35.8 to 60.6; and MBIR from 16.6 to 21.9). MBIR had significantly less noise than ASIR on 2-dimensional images at both standard and reduced doses (P < .01).

Conclusions

Radiation dose in CTC using MBIR can be reduced by 60 % while maintaining image quality and reducing image noise.
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Metadaten
Titel
Reducing the radiation dose for computed tomography colonography using model-based iterative reconstruction
verfasst von
Patrick J. Millerd
Robert G. Paden
Jeffrey T. Lund
Amy K. Hara
Wendy L. Stiles
Miao He
Qing Wu
C. Daniel Johnson
Publikationsdatum
01.06.2015
Verlag
Springer US
Erschienen in
Abdominal Radiology / Ausgabe 5/2015
Print ISSN: 2366-004X
Elektronische ISSN: 2366-0058
DOI
https://doi.org/10.1007/s00261-014-0271-1

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