Literature DB >> 19291988

Statistical characteristics of streak artifacts on CT images: relationship between streak artifacts and mA s values.

Kuniahru Imai1, Mitsuru Ikeda, Yukihiro Enchi, Takanaga Niimi.   

Abstract

The purpose of this study is to investigate how streak artifacts on computed tomography (CT) images vary with reduction in radiation doses by assessing the quantitative relationship between the streak artifacts and milliampere-time product (mA s) values. A commercially available chest phantom was used to measure the streak artifacts on the CT images obtained using a 4- and 16-multidetector-row helical CT scanners with various mA s values at a constant tube voltage of 120 kVp. The cardiac slice image was employed as a target image for evaluating the streak artifacts on the CT image. Eighty parallel line segments with a length of 20 pixels were placed perpendicular to numerous streak artifacts on the cardiac slice image, and the largest difference between adjacent CT values in each of the 80 CT-value profiles of these line segments was employed as a feature variable of streak artifacts; these feature variables have been analyzed by the extreme value theory. The largest difference between adjacent CT values in each CT-value profile can be statistically modeled by a Gumbel distribution. Further, the maximum level of streak artifacts on CT images that will be tolerated for clinical use and low-dose CT screening examination was expected to be estimated using the location parameter in the Gumbel distribution.

Mesh:

Year:  2009        PMID: 19291988     DOI: 10.1118/1.3056554

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  9 in total

1.  Regularization designs for uniform spatial resolution and noise properties in statistical image reconstruction for 3-D X-ray CT.

Authors:  Jang Hwan Cho; Jeffrey A Fessler
Journal:  IEEE Trans Med Imaging       Date:  2014-10-28       Impact factor: 10.048

2.  Dose reduction and image quality in CT angiography for cerebral aneurysm with various tube potentials and current settings.

Authors:  K Imai; M Ikeda; C Kawaura; T Aoyama; Y Enchi; M Yamauchi
Journal:  Br J Radiol       Date:  2012-01-17       Impact factor: 3.039

3.  Artifacts in orthodontic bracket systems in cone-beam computed tomography and multislice computed tomography.

Authors:  V Hirschinger; S Hanke; U Hirschfelder; E Hofmann
Journal:  J Orofac Orthop       Date:  2015-03       Impact factor: 1.938

4.  PWLS-ULTRA: An Efficient Clustering and Learning-Based Approach for Low-Dose 3D CT Image Reconstruction.

Authors:  Xuehang Zheng; Saiprasad Ravishankar; Yong Long; Jeffrey A Fessler
Journal:  IEEE Trans Med Imaging       Date:  2018-06       Impact factor: 10.048

5.  Arterial contour detectability in head CT angiography.

Authors:  Yukihiro Enchi; Kuniharu Imai; Mitsuru Ikeda; Ikuko Takase; Chiyo Yamauchi-Kawaura; Masaki Mori
Journal:  Int J Comput Assist Radiol Surg       Date:  2014-04-24       Impact factor: 2.924

6.  Development and applicability of a quality control phantom for dental cone-beam CT.

Authors:  Ruben Pauwels; Harry Stamatakis; Giorgos Manousaridis; Adrian Walker; Koen Michielsen; Hilde Bosmans; Ria Bogaerts; Reinhilde Jacobs; Keith Horner; Kostas Tsiklakis
Journal:  J Appl Clin Med Phys       Date:  2011-11-15       Impact factor: 2.102

7.  Metal Artifact Suppression in Dental Cone Beam Computed Tomography Images Using Image Processing Techniques.

Authors:  Masoumeh Johari; Milad Abdollahzadeh; Farzad Esmaeili; Vahideh Sakhamanesh
Journal:  J Med Signals Sens       Date:  2018 Jan-Mar

8.  Improved digital chest tomosynthesis image quality by use of a projection-based dual-energy virtual monochromatic convolutional neural network with super resolution.

Authors:  Tsutomu Gomi; Hidetake Hara; Yusuke Watanabe; Shinya Mizukami
Journal:  PLoS One       Date:  2020-12-31       Impact factor: 3.240

9.  A Limited-View CT Reconstruction Framework Based on Hybrid Domains and Spatial Correlation.

Authors:  Ken Deng; Chang Sun; Wuxuan Gong; Yitong Liu; Hongwen Yang
Journal:  Sensors (Basel)       Date:  2022-02-13       Impact factor: 3.576

  9 in total

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