Literature DB >> 26234823

The adaptive statistical iterative reconstruction-V technique for radiation dose reduction in abdominal CT: comparison with the adaptive statistical iterative reconstruction technique.

Heejin Kwon1, Jinhan Cho1, Jongyeong Oh1, Dongwon Kim1, Junghyun Cho1, Sanghyun Kim1, Sangyun Lee1, Jihyun Lee1.   

Abstract

OBJECTIVE: To investigate whether reduced radiation dose abdominal CT images reconstructed with adaptive statistical iterative reconstruction V (ASIR-V) compromise the depiction of clinically competent features when compared with the currently used routine radiation dose CT images reconstructed with ASIR.
METHODS: 27 consecutive patients (mean body mass index: 23.55 kg m(-2) underwent CT of the abdomen at two time points. At the first time point, abdominal CT was scanned at 21.45 noise index levels of automatic current modulation at 120 kV. Images were reconstructed with 40% ASIR, the routine protocol of Dong-A University Hospital. At the second time point, follow-up scans were performed at 30 noise index levels. Images were reconstructed with filtered back projection (FBP), 40% ASIR, 30% ASIR-V, 50% ASIR-V and 70% ASIR-V for the reduced radiation dose. Both quantitative and qualitative analyses of image quality were conducted. The CT dose index was also recorded.
RESULTS: At the follow-up study, the mean dose reduction relative to the currently used common radiation dose was 35.37% (range: 19-49%). The overall subjective image quality and diagnostic acceptability of the 50% ASIR-V scores at the reduced radiation dose were nearly identical to those recorded when using the initial routine-dose CT with 40% ASIR. Subjective ratings of the qualitative analysis revealed that of all reduced radiation dose CT series reconstructed, 30% ASIR-V and 50% ASIR-V were associated with higher image quality with lower noise and artefacts as well as good sharpness when compared with 40% ASIR and FBP. However, the sharpness score at 70% ASIR-V was considered to be worse than that at 40% ASIR. Objective image noise for 50% ASIR-V was 34.24% and 46.34% which was lower than 40% ASIR and FBP.
CONCLUSION: Abdominal CT images reconstructed with ASIR-V facilitate radiation dose reductions of to 35% when compared with the ASIR. ADVANCES IN KNOWLEDGE: This study represents the first clinical research experiment to use ASIR-V, the newest version of iterative reconstruction. Use of the ASIR-V algorithm decreased image noise and increased image quality when compared with the ASIR and FBP methods. These results suggest that high-quality low-dose CT may represent a new clinical option.

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Year:  2015        PMID: 26234823      PMCID: PMC4730981          DOI: 10.1259/bjr.20150463

Source DB:  PubMed          Journal:  Br J Radiol        ISSN: 0007-1285            Impact factor:   3.039


  20 in total

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

Authors:  Priyanka Prakash; Mannudeep K Kalra; Avinash K Kambadakone; Homer Pien; Jiang Hsieh; Michael A Blake; Dushyant V Sahani
Journal:  Invest Radiol       Date:  2010-04       Impact factor: 6.016

Review 2.  Computed tomography--an increasing source of radiation exposure.

Authors:  David J Brenner; Eric J Hall
Journal:  N Engl J Med       Date:  2007-11-29       Impact factor: 91.245

3.  Initial phantom study comparing image quality in computed tomography using adaptive statistical iterative reconstruction and new adaptive statistical iterative reconstruction v.

Authors:  Kyungjae Lim; Heejin Kwon; Jinhan Cho; Jongyoung Oh; Seongkuk Yoon; Myungjin Kang; Dongho Ha; Jinhwa Lee; Eunju Kang
Journal:  J Comput Assist Tomogr       Date:  2015 May-Jun       Impact factor: 1.826

4.  Filtered back projection, adaptive statistical iterative reconstruction, and a model-based iterative reconstruction in abdominal CT: an experimental clinical study.

Authors:  Zsuzsanna Deák; Jochen M Grimm; Marcus Treitl; Lucas L Geyer; Ulrich Linsenmaier; Markus Körner; Maximilian F Reiser; Stefan Wirth
Journal:  Radiology       Date:  2012-11-20       Impact factor: 11.105

5.  Radiation dose of non-enhanced chest CT can be reduced 40% by using iterative reconstruction in image space.

Authors:  X H Hu; X F Ding; R Z Wu; M M Zhang
Journal:  Clin Radiol       Date:  2011-09-08       Impact factor: 2.350

6.  Abdominal CT with model-based iterative reconstruction (MBIR): initial results of a prospective trial comparing ultralow-dose with standard-dose imaging.

Authors:  Perry J Pickhardt; Meghan G Lubner; David H Kim; Jie Tang; Julie A Ruma; Alejandro Muñoz del Rio; Guang-Hong Chen
Journal:  AJR Am J Roentgenol       Date:  2012-12       Impact factor: 3.959

7.  Reducing abdominal CT radiation dose with the adaptive statistical iterative reconstruction technique in children: a feasibility study.

Authors:  Gregory A Vorona; Rafael C Ceschin; Barbara L Clayton; Tom Sutcavage; Sameh S Tadros; Ashok Panigrahy
Journal:  Pediatr Radiol       Date:  2011-05-19

8.  Computed tomography depiction of small pediatric vessels with model-based iterative reconstruction.

Authors:  Gonca Koc; Jesse L Courtier; Andrew Phelps; Peter A Marcovici; John D MacKenzie
Journal:  Pediatr Radiol       Date:  2014-02-16

9.  Radiation exposure from CT scans in childhood and subsequent risk of leukaemia and brain tumours: a retrospective cohort study.

Authors:  Mark S Pearce; Jane A Salotti; Mark P Little; Kieran McHugh; Choonsik Lee; Kwang Pyo Kim; Nicola L Howe; Cecile M Ronckers; Preetha Rajaraman; Alan W Sir Craft; Louise Parker; Amy Berrington de González
Journal:  Lancet       Date:  2012-06-07       Impact factor: 79.321

10.  X-ray dose reduction in abdominal computed tomography using advanced iterative reconstruction algorithms.

Authors:  Peigang Ning; Shaocheng Zhu; Dapeng Shi; Ying Guo; Minghua Sun
Journal:  PLoS One       Date:  2014-03-24       Impact factor: 3.240

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  24 in total

1.  Potential value of the PixelShine deep learning algorithm for increasing quality of 70 kVp+ASiR-V reconstruction pelvic arterial phase CT images.

Authors:  Shi-Feng Tian; Ai-Lian Liu; Jing-Hong Liu; Yi-Jun Liu; Ju-Dong Pan
Journal:  Jpn J Radiol       Date:  2018-12-06       Impact factor: 2.374

2.  Image quality comparison of two adaptive statistical iterative reconstruction (ASiR, ASiR-V) algorithms and filtered back projection in routine liver CT.

Authors:  Li-Hong Chen; Chao Jin; Jian-Ying Li; Ge-Liang Wang; Yong-Jun Jia; Hai-Feng Duan; Ning Pan; Jianxin Guo
Journal:  Br J Radiol       Date:  2018-06-06       Impact factor: 3.039

3.  Computed Tomography Image Quality Evaluation of a New Iterative Reconstruction Algorithm in the Abdomen (Adaptive Statistical Iterative Reconstruction-V) a Comparison With Model-Based Iterative Reconstruction, Adaptive Statistical Iterative Reconstruction, and Filtered Back Projection Reconstructions.

Authors:  Martin H Goodenberger; Nicolaus A Wagner-Bartak; Shiva Gupta; Xinming Liu; Ramon Q Yap; Jia Sun; Eric P Tamm; Corey T Jensen
Journal:  J Comput Assist Tomogr       Date:  2018 Mar/Apr       Impact factor: 1.826

4.  Low-dose CT angiography using ASiR-V for potential living renal donors: a prospective analysis of image quality and diagnostic accuracy.

Authors:  Woong Kyu Han; Joon Chae Na; Sung Yoon Park
Journal:  Eur Radiol       Date:  2019-08-30       Impact factor: 5.315

5.  Submillisievert chest dual energy computed tomography: a pilot study.

Authors:  Rodrigo Canellas; Jeanne B Ackman; Subba R Digumarthy; Melissa Price; Alexi Otrakji; Shaunagh McDermott; Amita Sharma; Mannudeep K Kalra
Journal:  Br J Radiol       Date:  2017-12-05       Impact factor: 3.039

6.  Assessment of noise reduction potential and image quality improvement of a new generation adaptive statistical iterative reconstruction (ASIR-V) in chest CT.

Authors:  Hui Tang; Nan Yu; Yongjun Jia; Yong Yu; Haifeng Duan; Dong Han; Guangming Ma; Chenglong Ren; Taiping He
Journal:  Br J Radiol       Date:  2017-11-16       Impact factor: 3.039

7.  [Sparse-view CT image restoration via multiscale wavelet residual network].

Authors:  Ziquan Wei; Yongbo Wang; Xi Tao; Xiao Jia; Zhaoying Bian; Gaofeng Chen; Mingqiang Li; Kun Ma; Bin Li; Jianhua Ma
Journal:  Nan Fang Yi Ke Da Xue Xue Bao       Date:  2019-11-30

8.  Head CT: Image quality improvement with ASIR-V using a reduced radiation dose protocol for children.

Authors:  Hyun Gi Kim; Ho-Joon Lee; Seung-Koo Lee; Hyun Ji Kim; Myung-Joon Kim
Journal:  Eur Radiol       Date:  2017-01-23       Impact factor: 5.315

9.  Detection of Colorectal Hepatic Metastases Is Superior at Standard Radiation Dose CT versus Reduced Dose CT.

Authors:  Corey T Jensen; Nicolaus A Wagner-Bartak; Lan N Vu; Xinming Liu; Bharat Raval; David Martinez; Wei Wei; Yuan Cheng; Ehsan Samei; Shiva Gupta
Journal:  Radiology       Date:  2018-11-27       Impact factor: 11.105

10.  Clinical value of a new generation adaptive statistical iterative reconstruction (ASIR-V) in the diagnosis of pulmonary nodule in low-dose chest CT.

Authors:  Hui Tang; Zhentang Liu; Zhijun Hu; Taiping He; Dou Li; Nan Yu; Yongjun Jia; Hong Shi
Journal:  Br J Radiol       Date:  2019-09-06       Impact factor: 3.039

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