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

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

Research output: Contribution to journalArticle

8 Citations (Scopus)

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 

Original languageEnglish (US)
Pages (from-to)1183-1189
Number of pages7
JournalAbdominal Imaging
Volume40
Issue number5
DOIs
StatePublished - Oct 21 2014
Externally publishedYes

Fingerprint

Noise
Tomography
Radiation
Supine Position
Computed Tomographic Colonography
Prone Position

Keywords

  • Adaptive statistical iterative reconstruction
  • Computed tomography
  • CT colonography
  • Iterative reconstruction
  • Model-based iterative reconstruction
  • Reduced dose

ASJC Scopus subject areas

  • Gastroenterology
  • Urology
  • Radiology Nuclear Medicine and imaging
  • Radiological and Ultrasound Technology

Cite this

Millerd, P. J., Paden, R. G., Lund, J. T., Hara, A. K., Stiles, W. L., He, M., ... Daniel Johnson, C. (2014). Reducing the radiation dose for computed tomography colonography using model-based iterative reconstruction. Abdominal Imaging, 40(5), 1183-1189. https://doi.org/10.1007/s00261-014-0271-1

Reducing the radiation dose for computed tomography colonography using model-based iterative reconstruction. / Millerd, Patrick J.; Paden, Robert G.; Lund, Jeffrey T.; Hara, Amy K.; Stiles, Wendy L.; He, Miao; Wu, Qing; Daniel Johnson, C.

In: Abdominal Imaging, Vol. 40, No. 5, 21.10.2014, p. 1183-1189.

Research output: Contribution to journalArticle

Millerd, PJ, Paden, RG, Lund, JT, Hara, AK, Stiles, WL, He, M, Wu, Q & Daniel Johnson, C 2014, 'Reducing the radiation dose for computed tomography colonography using model-based iterative reconstruction', Abdominal Imaging, vol. 40, no. 5, pp. 1183-1189. https://doi.org/10.1007/s00261-014-0271-1
Millerd, Patrick J. ; Paden, Robert G. ; Lund, Jeffrey T. ; Hara, Amy K. ; Stiles, Wendy L. ; He, Miao ; Wu, Qing ; Daniel Johnson, C. / Reducing the radiation dose for computed tomography colonography using model-based iterative reconstruction. In: Abdominal Imaging. 2014 ; Vol. 40, No. 5. pp. 1183-1189.
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