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

9 Scopus citations

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.

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

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

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