Literature DB >> 26543245

A Simple Low-dose X-ray CT Simulation from High-dose Scan.

Dong Zeng1, Jing Huang1, Zhaoying Bian1, Shanzhou Niu1, Hua Zhang1, Qianjin Feng1, Zhengrong Liang2, Jianhua Ma1.   

Abstract

Low-dose X-ray computed tomography (CT) simulation from high-dose scan is required in optimizing radiation dose to patients. In this study, we propose a simple low-dose CT simulation strategy in sinogram domain using the raw data from high-dose scan. Specially, a relationship between the incident fluxes of low- and high- dose scans is first determined according to the repeated projection measurements and analysis. Second, the incident flux level of the simulated low-dose scan is generated by properly scaling the incident flux level of high-dose scan via the determined relationship in the first step. Third, the low-dose CT transmission data by energy integrating detection is simulated by adding a statistically independent Poisson noise distribution plus a statistically independent Gaussian noise distribution. Finally, a filtered back-projection (FBP) algorithm is implemented to reconstruct the resultant low-dose CT images. The present low-dose simulation strategy is verified on the simulations and real scans by comparing it with the existing low-dose CT simulation tool. Experimental results demonstrated that the present low-dose CT simulation strategy can generate accurate low-dose CT sinogram data from high-dose scan in terms of qualitative and quantitative measurements.

Entities:  

Keywords:  X-ray CT; high-dose; low-dose; simulation

Year:  2015        PMID: 26543245      PMCID: PMC4629802          DOI: 10.1109/TNS.2015.2467219

Source DB:  PubMed          Journal:  IEEE Trans Nucl Sci        ISSN: 0018-9499            Impact factor:   1.679


  18 in total

1.  Penalized-likelihood sinogram restoration for computed tomography.

Authors:  Patrick J La Rivière; Junguo Bian; Phillip A Vargas
Journal:  IEEE Trans Med Imaging       Date:  2006-08       Impact factor: 10.048

2.  Statistical reconstruction for x-ray computed tomography using energy-integrating detectors.

Authors:  Giovanni M Lasio; Bruce R Whiting; Jeffrey F Williamson
Journal:  Phys Med Biol       Date:  2007-04-02       Impact factor: 3.609

Review 3.  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

4.  Validation of CT dose-reduction simulation.

Authors:  Parinaz Massoumzadeh; Steven Don; Charles F Hildebolt; Kyongtae T Bae; Bruce R Whiting
Journal:  Med Phys       Date:  2009-01       Impact factor: 4.071

5.  Pediatric MDCT: towards assessing the diagnostic influence of dose reduction on the detection of small lung nodules.

Authors:  Xiang Li; Ehsan Samei; David M DeLong; Robert P Jones; Ana Maria Gaca; Caroline L Hollingsworth; Charles M Maxfield; James G Colsher; Donald P Frush
Journal:  Acad Radiol       Date:  2009-04-25       Impact factor: 3.173

6.  Electronic noise modeling in statistical iterative reconstruction.

Authors:  Jingyan Xu; Benjamin M W Tsui
Journal:  IEEE Trans Image Process       Date:  2009-04-24       Impact factor: 10.856

7.  An experimental study on the noise properties of x-ray CT sinogram data in Radon space.

Authors:  Jing Wang; Hongbing Lu; Zhengrong Liang; Daria Eremina; Guangxiang Zhang; Su Wang; John Chen; James Manzione
Journal:  Phys Med Biol       Date:  2008-06-03       Impact factor: 3.609

8.  A low dose simulation tool for CT systems with energy integrating detectors.

Authors:  Stanislav Zabić; Qiu Wang; Thomas Morton; Kevin M Brown
Journal:  Med Phys       Date:  2013-03       Impact factor: 4.071

9.  Computer-simulated radiation dose reduction for abdominal multidetector CT of pediatric patients.

Authors:  Donald P Frush; Christopher C Slack; Caroline L Hollingsworth; George S Bisset; Lane F Donnelly; Jiang Hsieh; Trudy Lavin-Wensell; John R Mayo
Journal:  AJR Am J Roentgenol       Date:  2002-11       Impact factor: 3.959

10.  Estimating risk of cancer associated with radiation exposure from 64-slice computed tomography coronary angiography.

Authors:  Andrew J Einstein; Milena J Henzlova; Sanjay Rajagopalan
Journal:  JAMA       Date:  2007-07-18       Impact factor: 56.272

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  16 in total

1.  [Influence of projection data correction on digital breast tomosynthesis imaging].

Authors:  Xin-Yu Zhang; Hua Zhang; Zhao-Ying Bian; Dong Zeng; Ji He; Xiu-Mei Tian; Jian-Hua Ma; Jing Huang
Journal:  Nan Fang Yi Ke Da Xue Xue Bao       Date:  2017-03-20

2.  [Redundancy information-induced image reconstruction for low-dose myocardial perfusion computed tomography].

Authors:  Jiahui Lin; Zhaoying Bian; Jianhua Ma; Jing Huang; Xi Tao; Dong Zeng; Hong Guo
Journal:  Nan Fang Yi Ke Da Xue Xue Bao       Date:  2018-01-30

3.  Deep Learning for Low-Dose CT Denoising Using Perceptual Loss and Edge Detection Layer.

Authors:  Maryam Gholizadeh-Ansari; Javad Alirezaie; Paul Babyn
Journal:  J Digit Imaging       Date:  2020-04       Impact factor: 4.056

4.  Constructing a tissue-specific texture prior by machine learning from previous full-dose scan for Bayesian reconstruction of current ultralow-dose CT images.

Authors:  Yongfeng Gao; Jiaxing Tan; Yongyi Shi; Siming Lu; Amit Gupta; Haifang Li; Zhengrong Liang
Journal:  J Med Imaging (Bellingham)       Date:  2020-02-25

5.  Iterative reconstruction for dual energy CT with an average image-induced nonlocal means regularization.

Authors:  Houjin Zhang; Dong Zeng; Jiahui Lin; Hao Zhang; Zhaoying Bian; Jing Huang; Yuanyuan Gao; Shanli Zhang; Hua Zhang; Qianjin Feng; Zhengrong Liang; Wufan Chen; Jianhua Ma
Journal:  Phys Med Biol       Date:  2017-05-04       Impact factor: 3.609

6.  Robust dynamic myocardial perfusion CT deconvolution for accurate residue function estimation via adaptive-weighted tensor total variation regularization: a preclinical study.

Authors:  Dong Zeng; Changfei Gong; Zhaoying Bian; Jing Huang; Xinyu Zhang; Hua Zhang; Lijun Lu; Shanzhou Niu; Zhang Zhang; Zhengrong Liang; Qianjin Feng; Wufan Chen; Jianhua Ma
Journal:  Phys Med Biol       Date:  2016-10-26       Impact factor: 3.609

7.  Statistical CT reconstruction using region-aware texture preserving regularization learning from prior normal-dose CT image.

Authors:  Xiao Jia; Yuting Liao; Dong Zeng; Hao Zhang; Yuanke Zhang; Ji He; Zhaoying Bian; Yongbo Wang; Xi Tao; Zhengrong Liang; Jing Huang; Jianhua Ma
Journal:  Phys Med Biol       Date:  2018-11-20       Impact factor: 3.609

8.  Assessment of prior image induced nonlocal means regularization for low-dose CT reconstruction: Change in anatomy.

Authors:  Hao Zhang; Jianhua Ma; Jing Wang; William Moore; Zhengrong Liang
Journal:  Med Phys       Date:  2017-09       Impact factor: 4.071

9.  Robust Low-Dose CT Sinogram Preprocessing via Exploiting Noise-Generating Mechanism.

Authors:  Qi Xie; Dong Zeng; Qian Zhao; Deyu Meng; Zongben Xu; Zhengrong Liang; Jianhua Ma
Journal:  IEEE Trans Med Imaging       Date:  2017-12       Impact factor: 10.048

10.  Characterization of tissue-specific pre-log Bayesian CT reconstruction by texture-dose relationship.

Authors:  Yongfeng Gao; Zhengrong Liang; Yuxiang Xing; Hao Zhang; Marc Pomeroy; Siming Lu; Jianhua Ma; Hongbing Lu; William Moore
Journal:  Med Phys       Date:  2020-09-05       Impact factor: 4.071

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