Literature DB >> 16372410

Reduction of motion blurring artifacts using respiratory gated CT in sinogram space: a quantitative evaluation.

Wei Lu1, Parag J Parikh, James P Hubenschmidt, David G Politte, Bruce R Whiting, Jeffrey D Bradley, Sasa Mutic, Daniel A Low.   

Abstract

Techniques have been developed for reducing motion blurring artifacts by using respiratory gated computed tomography (CT) in sinogram space and quantitatively evaluating the artifact reduction. A synthetic sinogram was built from multiple scans intercepting a respiratory gating window. A gated CT image was then reconstructed using the filtered back-projection algorithm. Wedge phantoms, developed for quantifying the motion artifact reduction, were scanned while being moved using a computer-controlled linear stage. The resulting artifacts appeared between the high and low density regions as an apparent feature with a Hounsfield value that was the average of the two regions. A CT profile through these regions was fit using two error functions, each modeling the partial-volume averaging characteristics for the unmoving phantom. The motion artifact was quantified by determining the apparent distance between the two functions. The blurring artifact had a linear relationship with both the speed and the tangent of the wedge angles. When gating was employed, the blurring artifact was reduced systematically at the air-phantom interface. The gated image of phantoms moving at 20 mm/s showed similar blurring artifacts as the nongated image of phantoms moving at 10 mm/s. Nine patients were also scanned using the synchronized respiratory motion technique. Image artifacts were evaluated in the diaphragm, where high contrast interfaces intercepted the imaging plane. For patients, this respiratory gating technique reduced the blurring artifacts by 9%-41% at the lung-diaphragm interface.

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Year:  2005        PMID: 16372410     DOI: 10.1118/1.2074187

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


  5 in total

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Journal:  Med Phys       Date:  2008-08       Impact factor: 4.071

2.  Self-calibration of a cone-beam micro-CT system.

Authors:  V Patel; R N Chityala; K R Hoffmann; C N Ionita; D R Bednarek; S Rudin
Journal:  Med Phys       Date:  2009-01       Impact factor: 4.071

Review 3.  Artifacts: The downturn of CBCT image.

Authors:  Anil Kumar Nagarajappa; Neha Dwivedi; Rana Tiwari
Journal:  J Int Soc Prev Community Dent       Date:  2015 Nov-Dec

4.  An algorithm to extract three-dimensional motion by marker tracking in the kV projections from an on-board imager: four-dimensional cone-beam CT and tumor tracking implications.

Authors:  Imad Ali; Nesreen Alsbou; Terence Herman; Salahuddin Ahmad
Journal:  J Appl Clin Med Phys       Date:  2011-02-01       Impact factor: 2.102

5.  Influence of Head Motion on the Accuracy of 3D Reconstruction with Cone-Beam CT: Landmark Identification Errors in Maxillofacial Surface Model.

Authors:  Kyung-Min Lee; Jin-Myoung Song; Jin-Hyoung Cho; Hyeon-Shik Hwang
Journal:  PLoS One       Date:  2016-04-11       Impact factor: 3.240

  5 in total

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