Literature DB >> 15537976

Artifacts in CT: recognition and avoidance.

Julia F Barrett1, Nicholas Keat.   

Abstract

Artifacts can seriously degrade the quality of computed tomographic (CT) images, sometimes to the point of making them diagnostically unusable. To optimize image quality, it is necessary to understand why artifacts occur and how they can be prevented or suppressed. CT artifacts originate from a range of sources. Physics-based artifacts result from the physical processes involved in the acquisition of CT data. Patient-based artifacts are caused by such factors as patient movement or the presence of metallic materials in or on the patient. Scanner-based artifacts result from imperfections in scanner function. Helical and multisection technique artifacts are produced by the image reconstruction process. Design features incorporated into modern CT scanners minimize some types of artifacts, and some can be partially corrected by the scanner software. However, in many instances, careful patient positioning and optimum selection of scanning parameters are the most important factors in avoiding CT artifacts. (c) RSNA, 2004.

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Year:  2004        PMID: 15537976     DOI: 10.1148/rg.246045065

Source DB:  PubMed          Journal:  Radiographics        ISSN: 0271-5333            Impact factor:   5.333


  300 in total

1.  Soft tissue variations influence HR-pQCT density measurements in a spatially dependent manner.

Authors:  Po-Hung Wu; Tanvi Gupta; Hanling Chang; Dimitry Petrenko; Anne Schafer; Galateia Kazakia
Journal:  Bone       Date:  2020-06-27       Impact factor: 4.398

2.  Banding and Step-Stair Artifacts on the Cardiac-CT Caused By Pseudo-Ectopic Beats.

Authors:  Amolak Singh; Yash Sethi; Sonya Watkins; Angela Youtsey; Angie Thomas
Journal:  J Radiol Case Rep       Date:  2009-06-01

3.  Evaluation of a cone beam CT artefact reduction algorithm.

Authors:  B Bechara; C A McMahan; H Geha; M Noujeim
Journal:  Dentomaxillofac Radiol       Date:  2012-02-23       Impact factor: 2.419

4.  Inconsistent detection of subhyaloid hemorrhage in the globe using computed tomography.

Authors:  Hisanao Akiyama
Journal:  Emerg Radiol       Date:  2012-02-17

5.  Characterization and correction of cupping effect artefacts in cone beam CT.

Authors:  A K Hunter; W D McDavid
Journal:  Dentomaxillofac Radiol       Date:  2012-03       Impact factor: 2.419

6.  Reduction of the unnecessary dose from the over-range area with a spiral dynamic z-collimator: comparison of beam pitch and detector coverage with 128-detector row CT.

Authors:  Takashi Shirasaka; Yoshinori Funama; Mutsukazu Hayashi; Shinichi Awamoto; Masatoshi Kondo; Yasuhiko Nakamura; Masamitsu Hatakenaka; Hiroshi Honda
Journal:  Radiol Phys Technol       Date:  2011-10-15

7.  A comparison of radiation exposure between diagnostic CTA and DSA examinations of cerebral and cervicocerebral vessels.

Authors:  A-L Manninen; J-M Isokangas; A Karttunen; T Siniluoto; M T Nieminen
Journal:  AJNR Am J Neuroradiol       Date:  2012-06-14       Impact factor: 3.825

8.  Metallic artefact reduction with monoenergetic dual-energy CT: systematic ex vivo evaluation of posterior spinal fusion implants from various vendors and different spine levels.

Authors:  R Guggenberger; S Winklhofer; G Osterhoff; G A Wanner; M Fortunati; G Andreisek; H Alkadhi; P Stolzmann
Journal:  Eur Radiol       Date:  2012-05-30       Impact factor: 5.315

9.  Reducing the effects of metal artefact using high keV monoenergetic reconstruction of dual energy CT (DECT) in hip replacements.

Authors:  Mark Lewis; Karen Reid; Andoni P Toms
Journal:  Skeletal Radiol       Date:  2012-06-09       Impact factor: 2.199

10.  Differential diagnostic perspectives provided by en face microscopic examination of articular surface defects.

Authors:  Bruce M Rothschild
Journal:  Clin Rheumatol       Date:  2018-02-04       Impact factor: 2.980

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