Literature DB >> 26452610

Radiation dose reduction in perfusion CT imaging of the brain: A review of the literature.

Ahmed E Othman1, Saif Afat2, Marc A Brockmann2, Omid Nikoubashman2, Carolin Brockmann2, Konstantin Nikolaou3, Martin Wiesmann2.   

Abstract

Perfusion CT (PCT) of the brain is widely used in the settings of acute ischemic stroke and vasospasm monitoring. The high radiation dose associated with PCT is a central topic and has been a focus of interest for many researchers. Many studies have examined the effect of radiation dose reduction in PCT using different approaches. Reduction of tube current and tube voltage can be efficient and lead to a remarkable reduction of effective radiation dose while preserving acceptable image quality. The use of novel noise reduction techniques such as iterative reconstruction or spatiotemporal smoothing can produce sufficient image quality from low-dose perfusion protocols. Reduction of sampling frequency of perfusion images has only little potential to reduce radiation dose. In the present article we aimed to summarize the available data on radiation dose reduction in PCT imaging of the brain.
Copyright © 2015 Elsevier Masson SAS. All rights reserved.

Entities:  

Keywords:  Low-dose perfusion CT; Perfusion CT; Radiation dose; Stroke

Mesh:

Substances:

Year:  2015        PMID: 26452610     DOI: 10.1016/j.neurad.2015.06.003

Source DB:  PubMed          Journal:  J Neuroradiol        ISSN: 0150-9861            Impact factor:   3.447


  8 in total

1.  Low-Dose Volume-Perfusion CT of the Brain: Effects of Radiation Dose Reduction on Performance of Perfusion CT Algorithms.

Authors:  A E Othman; S Afat; C Brockmann; O Nikoubashman; G Bier; M A Brockmann; K Nikolaou; J H Tai; Z P Yang; J H Kim; M Wiesmann
Journal:  Clin Neuroradiol       Date:  2015-12-15       Impact factor: 3.649

2.  Low-dose CT perfusion with projection view sharing.

Authors:  Thomas Martin; John Hoffman; Jeff R Alger; Michael McNitt-Gray; Danny Jj Wang
Journal:  Med Phys       Date:  2017-11-17       Impact factor: 4.071

3.  Quantitative accuracy of computed tomography perfusion under low-dose conditions, measured using a hollow-fiber phantom.

Authors:  Kazufumi Suzuki; Hiroyuki Hashimoto; Eiji Okaniwa; Hiroshi Iimura; Shingo Suzaki; Kayoko Abe; Shuji Sakai
Journal:  Jpn J Radiol       Date:  2017-04-27       Impact factor: 2.374

4.  Prediction of outcome after aneurysmal subarachnoid haemorrhage using data from patient admission.

Authors:  Christian Rubbert; Kaustubh R Patil; Kerim Beseoglu; Christian Mathys; Rebecca May; Marius G Kaschner; Benjamin Sigl; Nikolas A Teichert; Johannes Boos; Bernd Turowski; Julian Caspers
Journal:  Eur Radiol       Date:  2018-06-12       Impact factor: 5.315

5.  Low-Dose Dynamic Cerebral Perfusion Computed Tomography Reconstruction via Kronecker-Basis-Representation Tensor Sparsity Regularization.

Authors:  Dong Zeng; Qi Xie; Wenfei Cao; Jiahui Lin; Hao Zhang; Shanli Zhang; Jing Huang; Zhaoying Bian; Deyu Meng; Zongben Xu; Zhengrong Liang; Wufan Chen; Jianhua Ma
Journal:  IEEE Trans Med Imaging       Date:  2017-09-04       Impact factor: 10.048

6.  Intra-arterial pulse wave analysis during thrombectomy for the assessment of collateral status - A feasibility study.

Authors:  Johanna Sandmann; Thorsten Sichtermann; Franziska Sonja Müschenich; Hadi Nasri; Sarah Heringer; Anastasios Mpotsaris; Martin Kramer; Martin Wiesmann; Omid Nikoubashman
Journal:  PLoS One       Date:  2019-01-10       Impact factor: 3.240

7.  A Novel Singular Value Decomposition-Based Denoising Method in 4-Dimensional Computed Tomography of the Brain in Stroke Patients with Statistical Evaluation.

Authors:  Wonseok Yang; Jun-Yong Hong; Jeong-Youn Kim; Seung-Ho Paik; Seung Hyun Lee; Ji-Su Park; Gihyoun Lee; Beop Min Kim; Young-Jin Jung
Journal:  Sensors (Basel)       Date:  2020-05-28       Impact factor: 3.576

8.  Low Dose CT Perfusion With K-Space Weighted Image Average (KWIA).

Authors:  Chenyang Zhao; Thomas Martin; Xingfeng Shao; Jeffry R Alger; Vinay Duddalwar; Danny J J Wang
Journal:  IEEE Trans Med Imaging       Date:  2020-11-30       Impact factor: 10.048

  8 in total

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