Literature DB >> 25554541

Model-based iterative reconstruction for improvement of low-contrast detectability in liver CT at reduced radiation dose: ex-vivo experience.

D B Husarik1, H Alkadhi2, G D Puippe2, C S Reiner2, N C Chuck2, F Morsbach2, Z Szucs-Farkas3, S T Schindera4.   

Abstract

AIM: To compare low-contrast detectability, and qualitative and quantitative image parameters on standard and reduced radiation dose abdominal CT reconstructed with filtered back projection (FBP) and model-based iterative reconstruction (MBIR).
MATERIALS AND METHODS: A custom built liver phantom containing 43 lesions was imaged at 120 kVp and four radiation dose levels (100% = 188 mAs, 50%, 25%, and 10%). Image noise and contrast-to-noise ratios (CNR) were assessed. Lesion detection and qualitative image analysis (five-point Likert scale with 1 = worst, 5 = best for confidence) was performed by three independent radiologists.
RESULTS: CNR on MBIR images was significantly higher (mean 246%, range 151-383%) and image noise was significantly lower (69%, 59-78%) than on FBP images at the same radiation dose (both p < 0.05). On MBIR 10% images, CNR (3.3 ± 0.3) was significantly higher and noise (15 ± 1HU) significantly lower than on FBP 100% images (2.5 ± 0.1; 21 ± 1 HU). On 100% images, lesion attenuation was significantly lower with MBIR than with FBP (mean difference -2 HU). Low-contrast detectability and qualitative results were similar with MBIR 50% and FBP 100%.
CONCLUSION: Low-contrast detectability with MBIR 50% and FBP 100% were equal. Quantitative parameters on even lower dose MBIR images are superior to 100%-dose FBP images. Some attenuation values differ significantly with MBIR compared with FBP.
Copyright © 2014 The Royal College of Radiologists. Published by Elsevier Ltd. All rights reserved.

Mesh:

Year:  2014        PMID: 25554541     DOI: 10.1016/j.crad.2014.11.015

Source DB:  PubMed          Journal:  Clin Radiol        ISSN: 0009-9260            Impact factor:   2.350


  6 in total

1.  Knowledge-based iterative model reconstruction: comparative image quality and radiation dose with a pediatric computed tomography phantom.

Authors:  Young Jin Ryu; Young Hun Choi; Jung-Eun Cheon; Seongmin Ha; Woo Sun Kim; In-One Kim
Journal:  Pediatr Radiol       Date:  2015-11-06

2.  Full model-based iterative reconstruction (MBIR) in abdominal CT increases objective image quality, but decreases subjective acceptance.

Authors:  Gautier Laurent; Nicolas Villani; Gabriela Hossu; Aymeric Rauch; Alain Noël; Alain Blum; Pedro Augusto Gondim Teixeira
Journal:  Eur Radiol       Date:  2019-01-30       Impact factor: 5.315

3.  Diagnostic performance of reduced-dose CT with a hybrid iterative reconstruction algorithm for the detection of hypervascular liver lesions: a phantom study.

Authors:  Atsushi Nakamoto; Yoshikazu Tanaka; Hiroshi Juri; Go Nakai; Shushi Yoshikawa; Yoshifumi Narumi
Journal:  Eur Radiol       Date:  2016-12-12       Impact factor: 5.315

4.  Statistical model based iterative reconstruction in clinical CT systems. Part III. Task-based kV/mAs optimization for radiation dose reduction.

Authors:  Ke Li; Daniel Gomez-Cardona; Jiang Hsieh; Meghan G Lubner; Perry J Pickhardt; Guang-Hong Chen
Journal:  Med Phys       Date:  2015-09       Impact factor: 4.071

5.  Improving image quality with model-based iterative reconstruction at quarter of nominal dose in upper abdominal CT.

Authors:  Xirong Zhang; Jing Chen; Nan Yu; Zhanli Ren; Qian Tian; Xin Tian; Taiping He; Changyi Guo
Journal:  Br J Radiol       Date:  2018-09-21       Impact factor: 3.039

6.  Automated development of the contrast-detail curve based on statistical low-contrast detectability in CT images.

Authors:  Choirul Anam; Ariij Naufal; Toshioh Fujibuchi; Kosuke Matsubara; Geoff Dougherty
Journal:  J Appl Clin Med Phys       Date:  2022-07-09       Impact factor: 2.243

  6 in total

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