Literature DB >> 22717881

Radiation dose reduction in abdominal computed tomography during the late hepatic arterial phase using a model-based iterative reconstruction algorithm: how low can we go?

Daniela B Husarik1, Daniele Marin, Ehsan Samei, Samuel Richard, Baiyu Chen, Tracy A Jaffe, Mustafa R Bashir, Rendon C Nelson.   

Abstract

OBJECTIVE: The aim of this study was to compare the image quality of abdominal computed tomography scans in an anthropomorphic phantom acquired at different radiation dose levels where each raw data set is reconstructed with both a standard convolution filtered back projection (FBP) and a full model-based iterative reconstruction (MBIR) algorithm.
MATERIALS AND METHODS: An anthropomorphic phantom in 3 sizes was used with a custom-built liver insert simulating late hepatic arterial enhancement and containing hypervascular liver lesions of various sizes. Imaging was performed on a 64-section multidetector-row computed tomography scanner (Discovery CT750 HD; GE Healthcare, Waukesha, WI) at 3 different tube voltages for each patient size and 5 incrementally decreasing tube current-time products for each tube voltage. Quantitative analysis consisted of contrast-to-noise ratio calculations and image noise assessment. Qualitative image analysis was performed by 3 independent radiologists rating subjective image quality and lesion conspicuity.
RESULTS: Contrast-to-noise ratio was significantly higher and mean image noise was significantly lower on MBIR images than on FBP images in all patient sizes, at all tube voltage settings, and all radiation dose levels (P < 0.05). Overall image quality and lesion conspicuity were rated higher for MBIR images compared with FBP images at all radiation dose levels. Image quality and lesion conspicuity on 25% to 50% dose MBIR images were rated equal to full-dose FBP images.
CONCLUSION: This phantom study suggests that depending on patient size, clinically acceptable image quality of the liver in the late hepatic arterial phase can be achieved with MBIR at approximately 50% lower radiation dose compared with FBP.

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Year:  2012        PMID: 22717881     DOI: 10.1097/RLI.0b013e318251eafd

Source DB:  PubMed          Journal:  Invest Radiol        ISSN: 0020-9996            Impact factor:   6.016


  16 in total

1.  Combining automated attenuation-based tube voltage selection and iterative reconstruction: a liver phantom study.

Authors:  Daniela B Husarik; Sebastian T Schindera; Fabian Morsbach; Natalie Chuck; Burkhardt Seifert; Zsolt Szucs-Farkas; Hatem Alkadhi
Journal:  Eur Radiol       Date:  2013-10-24       Impact factor: 5.315

2.  Matching and Homogenizing Convolution Kernels for Quantitative Studies in Computed Tomography.

Authors:  Dennis Mackin; Rachel Ger; Skylar Gay; Cristina Dodge; Lifei Zhang; Jinzhong Yang; Aaron Kyle Jones; Laurence Court
Journal:  Invest Radiol       Date:  2019-05       Impact factor: 6.016

Review 3.  Task-based measures of image quality and their relation to radiation dose and patient risk.

Authors:  Harrison H Barrett; Kyle J Myers; Christoph Hoeschen; Matthew A Kupinski; Mark P Little
Journal:  Phys Med Biol       Date:  2015-01-07       Impact factor: 3.609

4.  Dose reduction in oncological staging multidetector CT: effect of iterative reconstruction.

Authors:  M Karpitschka; D Augart; H-C Becker; M Reiser; A Graser
Journal:  Br J Radiol       Date:  2013-01       Impact factor: 3.039

5.  Noise-reducing algorithms do not necessarily provide superior dose optimisation for hepatic lesion detection with multidetector CT.

Authors:  K L Dobeli; S J Lewis; S R Meikle; D L Thiele; P C Brennan
Journal:  Br J Radiol       Date:  2013-02-07       Impact factor: 3.039

6.  Emerging techniques for dose optimization in abdominal CT.

Authors:  Ravi K Kaza; Joel F Platt; Mitchell M Goodsitt; Mahmoud M Al-Hawary; Katherine E Maturen; Ashish P Wasnik; Amit Pandya
Journal:  Radiographics       Date:  2014 Jan-Feb       Impact factor: 5.333

7.  Size-based quality-informed framework for quantitative optimization of pediatric CT.

Authors:  Ehsan Samei; Xiang Li; Donald P Frush
Journal:  J Med Imaging (Bellingham)       Date:  2017-08-21

8.  Image quality of CT angiography with model-based iterative reconstruction in young children with congenital heart disease: comparison with filtered back projection and adaptive statistical iterative reconstruction.

Authors:  Sung Sil Son; Ki Seok Choo; Ung Bae Jeon; Gye Rok Jeon; Kyung Jin Nam; Tae Un Kim; Jeong A Yeom; Jae Yeon Hwang; Dong Wook Jeong; Soo Jin Lim
Journal:  Int J Cardiovasc Imaging       Date:  2014-11-21       Impact factor: 2.357

9.  Improved Estimation of Coronary Plaque and Luminal Attenuation Using a Vendor-specific Model-based Iterative Reconstruction Algorithm in Contrast-enhanced CT Coronary Angiography.

Authors:  Yoshinori Funama; Daisuke Utsunomiya; Kenichiro Hirata; Katsuyuki Taguchi; Takeshi Nakaura; Seitaro Oda; Masafumi Kidoh; Hideaki Yuki; Yasuyuki Yamashita
Journal:  Acad Radiol       Date:  2017-04-07       Impact factor: 3.173

10.  Model-based iterative reconstruction: effect on patient radiation dose and image quality in pediatric body CT.

Authors:  Ethan A Smith; Jonathan R Dillman; Mitchell M Goodsitt; Emmanuel G Christodoulou; Nahid Keshavarzi; Peter J Strouse
Journal:  Radiology       Date:  2013-10-29       Impact factor: 11.105

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