Literature DB >> 27485613

Setting up computed tomography automatic tube current modulation systems.

C J Martin1, S Sookpeng.   

Abstract

Automatic tube current modulation (ATCM) on CT scanners can yield significant reductions in patient doses. Modulation is based on x-ray beam attenuation in body tissues obtained from scan projection radiographs (SPRs) and aims to maintain the same level of image quality throughout a scan. Noise level is important in judging image quality, but tissues in larger patients exhibit higher contrast resulting from the presence of fat. CT scanner manufacturers use different metrics to assess image quality. Some employ a simple measure of image noise, while others adopt a measure related to a reference image that accepts higher noise levels in more attenuating parts with higher contrast. At the present time there is no standard method for testing ATCM. This paper reviews the operation of different ATCM systems, considers options for testing, and sets out a framework that could be used for optimizing clinical protocols. If dose and image quality can be established for a reference phantom, the modulation performed by ATCM systems can be characterised using anatomical phantoms or geometrical elliptical phantoms which may be conical or include sections of varying dimension. For scanners using a reference image or mAs, selection of the image quality reference determines other factors. However, for scanners using a noise reference, a higher noise level should be selected for larger patients to avoid high doses, and the operator should ensure that appropriate limits are set for mA modulation. Other factors that need to be considered include the SPRs used to plan the ATCM and image thickness. Users should be aware of the mode of operation of the ATCM system on their CT scanner, and be familiar with the effects of changing different protocol parameters. The behaviour of ATCM systems should be established through testing of each CT scanner with suitable phantoms during commissioning.

Entities:  

Mesh:

Year:  2016        PMID: 27485613     DOI: 10.1088/0952-4746/36/3/R74

Source DB:  PubMed          Journal:  J Radiol Prot        ISSN: 0952-4746            Impact factor:   1.394


  8 in total

1.  Effect of iterative reconstruction techniques on image quality in low radiation dose chest CT: a phantom study.

Authors:  Yan Xu; Ting-Ting Zhang; Zhi-Hai Hu; Juan Li; Hong-Jun Hou; Zu-Shan Xu; Wen He
Journal:  Diagn Interv Radiol       Date:  2019-11       Impact factor: 2.630

2.  Dosimetric changes with computed tomography automatic tube-current modulation techniques.

Authors:  Sofia Spampinato; Anna Maria Gueli; Pietro Milone; Luigi Angelo Raffaele
Journal:  Radiol Phys Technol       Date:  2018-04-06

3.  Can We Perform CT of the Appendix with Less Than 1 mSv? A De-escalating Dose-simulation Study.

Authors:  Ji Hoon Park; Jong-June Jeon; Sung Soo Lee; Amar C Dhanantwari; Ji Ye Sim; Hae Young Kim; Kyoung Ho Lee
Journal:  Eur Radiol       Date:  2017-12-07       Impact factor: 5.315

4.  A Study to Determine Whether the Volume-Weighted Computed Tomography Dose Index Gives Reasonable Estimates of Organ Doses for Thai Patients Undergoing Abdomen and Pelvis Computed Tomography Examinations.

Authors:  Supawitoo Sookpeng; Colin J Martin; Chitsanupong Butdee
Journal:  J Med Phys       Date:  2017 Oct-Dec

5.  Automatic current selection with iterative reconstruction reduces effective dose to less than 1 mSv in low-dose chest computed tomography in persons with normal BMI.

Authors:  Li-Guo Chen; Ping-An Wu; Min-Huei Sheu; Hsing-Yang Tu; Li-Chuan Huang
Journal:  Medicine (Baltimore)       Date:  2019-07       Impact factor: 1.817

6.  Finding the optimal tube current and iterative reconstruction strength in liver imaging; two needles in one haystack.

Authors:  Bibi Martens; Joris G A Bosschee; Sander M J Van Kuijk; Cécile R L P N Jeukens; Maikel T H Brauer; Joachim E Wildberger; Casper Mihl
Journal:  PLoS One       Date:  2022-04-07       Impact factor: 3.240

7.  Effect of technologist and patient attributes on centering for body CT examinations: Influence of cultural and ethnic factors.

Authors:  Antar Aly; Shadi Ebrahimian; Mohammed H Kharita; Mahmoud Heidous; Mohammad Zaya Ashruf; Davendra Kumar; Mannudeep K Kalra; Huda Mohd Al Naemi
Journal:  PLoS One       Date:  2022-08-19       Impact factor: 3.752

8.  Optimisation of CT protocols in PET-CT across different scanner models using different automatic exposure control methods and iterative reconstruction algorithms.

Authors:  Sarah-May Gould; Jane Mackewn; Sugama Chicklore; Gary J R Cook; Andrew Mallia; Lucy Pike
Journal:  EJNMMI Phys       Date:  2021-07-31
  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.