Literature DB >> 15651634

The influence of antiscatter grids on soft-tissue detectability in cone-beam computed tomography with flat-panel detectors.

J H Siewerdsen1, D J Moseley, B Bakhtiar, S Richard, D A Jaffray.   

Abstract

The influence of antiscatter x-ray grids on image quality in cone-beam computed tomography (CT) is evaluated through broad experimental investigation for various anatomical sites (head and body), scatter conditions (scatter-to-primary ratio (SPR) ranging from approximately 10% to 150%), patient dose, and spatial resolution in three-dimensional reconstructions. Studies involved linear grids in combination with a flat-panel imager on a system for kilovoltage cone-beam CT imaging and guidance of radiation therapy. Grids were found to be effective in reducing x-ray scatter "cupping" artifacts, with heavier grids providing increased image uniformity. The system was highly robust against ring artifacts that might arise in CT reconstructions as a result of gridline shadows in the projection data. The influence of grids on soft-tissue detectability was evaluated quantitatively in terms of absolute contrast, voxel noise, and contrast-to-noise ratio (CNR) in cone-beam CT reconstructions of 16 cm "head" and 32 cm "body" cylindrical phantoms. Imaging performance was investigated qualitatively in observer preference tests based on patient images (pelvis, abdomen, and head-and-neck sites) acquired with and without antiscatter grids. The results suggest that although grids reduce scatter artifacts and improve subject contrast, there is little strong motivation for the use of grids in cone-beam CT in terms of CNR and overall image quality under most circumstances. The results highlight the tradeoffs in contrast and noise imparted by grids, showing improved image quality with grids only under specific conditions of high x-ray scatter (SPR> 100%), high imaging dose (Dcenter> 2 cGy), and low spatial resolution (voxel size > or = 1 mm).

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Year:  2004        PMID: 15651634     DOI: 10.1118/1.1819789

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


  58 in total

1.  Antiscatter grids in mobile C-arm cone-beam CT: effect on image quality and dose.

Authors:  S Schafer; J W Stayman; W Zbijewski; C Schmidgunst; G Kleinszig; J H Siewerdsen
Journal:  Med Phys       Date:  2012-01       Impact factor: 4.071

2.  Scatter correction for full-fan volumetric CT using a stationary beam blocker in a single full scan.

Authors:  Tianye Niu; Lei Zhu
Journal:  Med Phys       Date:  2011-11       Impact factor: 4.071

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.  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

5.  Monte Carlo evaluation of scatter mitigation strategies in cone-beam CT.

Authors:  Dimitrios Lazos; Jeffrey F Williamson
Journal:  Med Phys       Date:  2010-10       Impact factor: 4.071

6.  A general method for cupping artifact correction of cone-beam breast computed tomography images.

Authors:  Xiaolei Qu; Chao-Jen Lai; Yuncheng Zhong; Ying Yi; Chris C Shaw
Journal:  Int J Comput Assist Radiol Surg       Date:  2015-10-29       Impact factor: 2.924

7.  A post-reconstruction method to correct cupping artifacts in cone beam breast computed tomography.

Authors:  M C Altunbas; C C Shaw; L Chen; C Lai; X Liu; T Han; T Wang
Journal:  Med Phys       Date:  2007-07       Impact factor: 4.071

8.  Transmission characteristics of a two dimensional antiscatter grid prototype for CBCT.

Authors:  Cem Altunbas; Brian Kavanagh; Timur Alexeev; Moyed Miften
Journal:  Med Phys       Date:  2017-06-16       Impact factor: 4.071

9.  4D cone-beam computed tomography (CBCT) using a moving blocker for simultaneous radiation dose reduction and scatter correction.

Authors:  Cong Zhao; Yuncheng Zhong; Xinhui Duan; You Zhang; Xiaokun Huang; Jing Wang; Mingwu Jin
Journal:  Phys Med Biol       Date:  2018-05-29       Impact factor: 3.609

10.  Experimental study of intracranial hematoma detection with flat panel detector C-arm CT.

Authors:  H Arakawa; M P Marks; H M Do; D M Bouley; N Strobel; T Moore; R Fahrig
Journal:  AJNR Am J Neuroradiol       Date:  2008-01-17       Impact factor: 3.825

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