Literature DB >> 29140117

Comparison of Radiation Dose and Image Quality of Abdominopelvic CT Using Iterative (AIDR 3D) and Conventional Reconstructions.

Caroline Duarte de Mello-Amoedo1, Aparecido Nakano Martins1, Adriano Tachibana1, Daniella Ferraro Pinho2, Ronaldo Hueb Baroni1.   

Abstract

OBJECTIVE: The purpose of this study is to compare radiation dose and image quality of abdominopelvic CT studies reconstructed with iterative and conventional techniques.
MATERIALS AND METHODS: This retrospective study enrolled 99 patients who underwent abdominopelvic CT examinations with the portal venous phase images reconstructed with both filtered back projection and Adaptive Iterative Dose Reduction 3D (AIDR 3D) at different time points. Subjective assessment of image quality was performed by two radiologists who scored axial images for overall quality, sharpness, noise, and acceptability in a blinded fashion. The SD of the mean attenuation of the liver, aorta, and paraspinal muscle (as a measurement of image noise) and contrast-to-noise and signal-to-noise ratios for liver and aorta were used as objective parameters of image quality. Radiation dose parameters included CT dose index volume (CTDIvol), dose-length product, effective dose (ED), and size-specific dose estimate (SSDE). Results were compared for different body mass index (BMI; weight in kilograms divided by the square of height in meters) categories. Paired t test and McNemar paired tests for noninferiority were used, with p < 0.05 considered statistically significant.
RESULTS: We obtained a 62.5% mean reduction in CTDIvol, a 58% mean reduction in ED, and a 63% mean reduction in SSDE when AIDR 3D was used (p < 0.001). Subjective parameters of image quality were considered noninferior for AIDR 3D studies compared with filtered back projection (p < 0.001), except for the sharpness of images of patients with BMI 20-24.9. Variable results were found regarding objective assessment of image quality.
CONCLUSION: AIDR 3D allowed a significant reduction in radiation dose of abdominopelvic CT examinations without a loss of image quality in general.

Entities:  

Keywords:  CT; adaptive iterative dose reduction 3D; iterative reconstruction; radiation dose reduction

Mesh:

Year:  2017        PMID: 29140117     DOI: 10.2214/AJR.17.18025

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   3.959


  8 in total

1.  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

2.  Influence of tube voltage, tube current and newer iterative reconstruction algorithms in CT perfusion imaging in rabbit liver VX2 tumors.

Authors:  Jing-Lei Li; Wei-Tao Ye; Li-Fen Yan; Zai-Yi Liu; Xi-Ming Cao; Chang-Hong Liang
Journal:  Diagn Interv Radiol       Date:  2020-07       Impact factor: 2.630

3.  Deep learning reconstruction allows low-dose imaging while maintaining image quality: comparison of deep learning reconstruction and hybrid iterative reconstruction in contrast-enhanced abdominal CT.

Authors:  Akio Tamura; Eisuke Mukaida; Yoshitaka Ota; Iku Nakamura; Kazumasa Arakita; Kunihiro Yoshioka
Journal:  Quant Imaging Med Surg       Date:  2022-05

4.  Evaluation of Apparent Noise on CT Images Using Moving Average Filters.

Authors:  Keisuke Fujii; Keiichi Nomura; Kuniharu Imai; Yoshihisa Muramatsu; So Tsushima; Hiroyuki Ota
Journal:  J Digit Imaging       Date:  2021-11-10       Impact factor: 4.056

5.  Feasibility study of three-dimensional printing knee model using the ultra-low-dose CT scan for preoperative planning and simulated surgery.

Authors:  Meng Zhang; Ming Lei; Jie Zhang; Hongyi Li; Fenghuan Lin; Yanxia Chen; Jun Chen; Mengqiang Xiao
Journal:  Insights Imaging       Date:  2022-09-24

6.  Image quality and radiologists' subjective acceptance using model-based iterative and deep learning reconstructions as adjuncts to ultrahigh-resolution CT in low-dose contrast-enhanced abdominopelvic CT: phantom and clinical pilot studies.

Authors:  Makiko Nishikawa; Haruhiko Machida; Yuta Shimizu; Toshiya Kariyasu; Hiroyuki Morisaka; Takuya Adachi; Takehiro Nakai; Kosuke Sakaguchi; Shun Saito; Saki Matsumoto; Masamichi Koyanagi; Kenichi Yokoyama
Journal:  Abdom Radiol (NY)       Date:  2021-12-16

7.  Impact of ROI Size on the Accuracy of Noise Measurement in CT on Computational and ACR Phantoms.

Authors:  Choirul Anam; Pandji Triadyaksa; Ariij Naufal; Zaenal Arifin; Zaenul Muhlisin; Evi Setiawati; Wahyu Setia Budi
Journal:  J Biomed Phys Eng       Date:  2022-08-01

8.  Evaluating the effect of increased pitch, iterative reconstruction and dual source CT on dose reduction and image quality.

Authors:  Joanna Gariani; Steve P Martin; Diomidis Botsikas; Christoph D Becker; Xavier Montet
Journal:  Br J Radiol       Date:  2018-06-14       Impact factor: 3.039

  8 in total

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