Literature DB >> 20177389

Reducing abdominal CT radiation dose with adaptive statistical iterative reconstruction technique.

Priyanka Prakash1, Mannudeep K Kalra, Avinash K Kambadakone, Homer Pien, Jiang Hsieh, Michael A Blake, Dushyant V Sahani.   

Abstract

PURPOSE: To assess radiation dose reduction for abdominal computed tomography (CT) examinations with adaptive statistical iterative reconstruction (ASIR) technique.
MATERIALS AND METHODS: With institutional review board approval, retrospective review of weight adapted abdominal CT exams were performed in 156 consecutive patients with ASIR and in 66 patients with filtered back projection (FBP) on a 64-slice MDCT. Patients were categorized into 3 groups of <60 kg (n = 42), 61 to 90 kg (n = 100), and >or=91 kg (n = 80) for weight-based adjustment of automatic exposure control technique. Remaining scan parameters were held constant at 1.375:1 pitch, 120 kVp, 55 mm table feed per rotation, 5 mm section thickness. Two radiologists reviewed all CT examinations for image noise and diagnostic acceptability. CT dose index volume, and dose length product were recorded. Image noise and transverse abdominal diameter were measured in all patients. Data were analyzed using analysis of variance.
RESULTS: ASIR allowed for an overall average decrease of 25.1% in CT dose index volume compared with the FBP technique (ASIR, 11.9 +/- 3.6 mGy; FBP, 15.9 +/- 4.3 mGy) (P < 0.0001). In each of the 3 weight categories, CT examinations reconstructed with ASIR technique were associated with significantly lower radiation dose compared with FBP technique (P < 0.0001). There was also significantly less objective image noise with ASIR (6.9 +/- 2.2) than with FBP (9.5 +/- 2.0) (P < 0.0001). For the subjective analysis, all ASIR and FBP reconstructed abdominal CTs had optimal or less noise. However, 9% of FBP and 3.8% of ASIR reconstructed CT examinations were diagnostically unacceptable because of the presence of artifacts. Use of ASIR reconstruction kernel results in a blotchy pixilated appearance in 39% of CT sans which however, was mild and did not affect the diagnostic acceptability of images. The critical reproduction of visually sharp anatomic structures was preserved in all but one ASIR 40% reconstructed CT examination.
CONCLUSION: ASIR technique allows radiation dose reduction for abdominal CT examinations whereas improving image noise compared with the FBP technique.

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Year:  2010        PMID: 20177389     DOI: 10.1097/RLI.ob013e3181dzfeec

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


  106 in total

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2.  Impact of iterative reconstruction on image quality and radiation dose in multidetector CT of large body size adults.

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5.  The use of adaptive statistical iterative reconstruction in pediatric head CT: a feasibility study.

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6.  Image quality of multiplanar reconstruction of pulmonary CT scans using adaptive statistical iterative reconstruction.

Authors:  O Honda; M Yanagawa; A Inoue; A Kikuyama; S Yoshida; H Sumikawa; K Tobino; M Koyama; N Tomiyama
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7.  Effects of a high-pitch protocol and a hybrid iterative reconstruction algorithm on image quality of cerebral subtracted 3D CT angiography.

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8.  Computational and human observer image quality evaluation of low dose, knowledge-based CT iterative reconstruction.

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9.  Comparison of the image qualities of filtered back-projection, adaptive statistical iterative reconstruction, and model-based iterative reconstruction for CT venography at 80 kVp.

Authors:  Jin Hyeok Kim; Ki Seok Choo; Tae Yong Moon; Jun Woo Lee; Ung Bae Jeon; Tae Un Kim; Jae Yeon Hwang; Myeong-Ja Yun; Dong Wook Jeong; Soo Jin Lim
Journal:  Eur Radiol       Date:  2015-10-20       Impact factor: 5.315

10.  A Feasibility Study of Extracting Tissue Textures From a Previous Full-Dose CT Database as Prior Knowledge for Bayesian Reconstruction of Current Low-Dose CT Images.

Authors:  Yongfeng Gao; Zhengrong Liang; William Moore; Hao Zhang; Marc J Pomeroy; John A Ferretti; Thomas V Bilfinger; Jianhua Ma; Hongbing Lu
Journal:  IEEE Trans Med Imaging       Date:  2019-01-03       Impact factor: 10.048

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