Literature DB >> 23931431

CT of urolithiasis: comparison of image quality and diagnostic confidence using filtered back projection and iterative reconstruction techniques.

Jan Hansmann1, Gita M Schoenberg, Gunnar Brix, Thomas Henzler, Mathias Meyer, Ulrike I Attenberger, Stefan O Schoenberg, Christian Fink.   

Abstract

RATIONALE AND
OBJECTIVES: To compare the image quality and diagnostic confidence of low-dose computed tomography (CT) of urololithiasis using filtered back projection (FBP) and iterative reconstruction techniques (IRT).
MATERIALS AND METHODS: A 4.8 × 4.3 × 5.2 mm(3) uric acid ureteral stone was placed inside an anthropomorphic Alderson phantom at the pelvic level. Fifteen scans were performed on a 64-row dual-source CT system using different tube voltages (80, 100, and 120 kV) and current-time products (8, 15, 30, 70, and 100 mAs). Image reconstruction using FBP and IRT (iterative reconstruction in image space) resulted in 30 data sets. Objective image quality was evaluated by noise measurements. Effective doses were estimated for each data set with use of an established dosimetry program. Subjective image quality and confidence level were rated by two radiologists.
RESULTS: Noise was systematically lower for images reconstructed with IRT compared to FBP (55 ± 30 vs 65 ± 26 Hounsfield units; P = .004) for volume CT dose index values above about 0.6 mGy (or an effective dose of about 0.4 mSv for both sexes). For the 14 scans rated to have diagnostic image quality, the estimated effective doses ranged from 0.3 to 2.5 mSv for males and from 0.4 to 3.1 mSv for females. Subjective image quality and diagnostic confidence for IRT was not significantly better than those for FBP.
CONCLUSIONS: In a phantom study for CT of urolithiasis, IRT improves objective image quality compared to FBP above a certain dose threshold. However, this does not translate into improved subjective image quality or a higher degree of confidence for the diagnosis of high-contrast urinary stones.
Copyright © 2013 AUR. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  CT; Urolithiasis; iterative reconstruction

Mesh:

Year:  2013        PMID: 23931431     DOI: 10.1016/j.acra.2013.06.004

Source DB:  PubMed          Journal:  Acad Radiol        ISSN: 1076-6332            Impact factor:   3.173


  5 in total

1.  [Infectious diseases and injuries of bladder and urinary tract].

Authors:  J Budjan; P Riffel; M M Ong; C Bolenz; S O Schönberg; S Haneder
Journal:  Radiologe       Date:  2014-11       Impact factor: 0.635

2.  Iterative reconstruction improves image quality and preserves diagnostic accuracy in the setting of blunt solid organ injuries.

Authors:  Scott D Steenburg; Scott Persohn; Changyu Shen; Jeff W Dunkle; Sean D Gussick; Matthew J Petersen; Amy Wisnewski-Rhodes; Ryan T Whitesell
Journal:  Emerg Radiol       Date:  2014-06-07

3.  Determination of optimal imaging settings for urolithiasis CT using filtered back projection (FBP), statistical iterative reconstruction (IR) and knowledge-based iterative model reconstruction (IMR): a physical human phantom study.

Authors:  Se Y Choi; Seung H Ahn; Jae D Choi; Jung H Kim; Byoung-Il Lee; Jeong-In Kim; Sung B Park
Journal:  Br J Radiol       Date:  2015-11-18       Impact factor: 3.039

4.  Pilot study of low-dose nonenhanced computed tomography with iterative reconstruction for diagnosis of urinary stones.

Authors:  Sang Ho Park; Kyung Do Kim; Young Tae Moon; Soon Chul Myung; Tae Hyoung Kim; In Ho Chang; Jong Kyou Kwon
Journal:  Korean J Urol       Date:  2014-09-05

5.  Clinical Low Dose Photon Counting CT for the Detection of Urolithiasis: Evaluation of Image Quality and Radiation Dose.

Authors:  Julius Henning Niehoff; Alexandra Fiona Carmichael; Matthias Michael Woeltjen; Jan Boriesosdick; Ingo Lopez Schmidt; Arwed Elias Michael; Nils Große Hokamp; Hansjuergen Piechota; Jan Borggrefe; Jan Robert Kroeger
Journal:  Tomography       Date:  2022-06-23
  5 in total

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