Literature DB >> 22225284

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

S Schafer1, J W Stayman, W Zbijewski, C Schmidgunst, G Kleinszig, J H Siewerdsen.   

Abstract

PURPOSE: X-ray scatter is a major detriment to image quality in cone-beam CT (CBCT). Existing geometries exhibit strong differences in scatter susceptibility with more compact geometries, e.g., dental or musculoskeletal, benefiting from antiscatter grids, whereas in more extended geometries, e.g., IGRT, grid use carries tradeoffs in image quality per unit dose. This work assesses the tradeoffs in dose and image quality for grids applied in the context of low-dose CBCT on a mobile C-arm for image-guided surgery.
METHODS: Studies were performed on a mobile C-arm equipped with a flat-panel detector for high-quality CBCT. Antiscatter grids of grid ratio (GR) 6:1-12:1, 40 lp∕cm, were tested in "body" surgery, i.e., spine, using protocols for bone and soft-tissue visibility in the thoracic and abdominal spine. Studies focused on grid orientation, CT number accuracy, image noise, and contrast-to-noise ratio (CNR) in quantitative phantoms at constant dose.
RESULTS: There was no effect of grid orientation on possible gridline artifacts, given accurate angle-dependent gain calibration. Incorrect calibration was found to result in gridline shadows in the projection data that imparted high-frequency artifacts in 3D reconstructions. Increasing GR reduced errors in CT number from 31%, thorax, and 37%, abdomen, for gridless operation to 2% and 10%, respectively, with a 12:1 grid, while image noise increased by up to 70%. The CNR of high-contrast objects was largely unaffected by grids, but low-contrast soft-tissues suffered reduction in CNR, 2%-65%, across the investigated GR at constant dose.
CONCLUSIONS: While grids improved CT number accuracy, soft-tissue CNR was reduced due to attenuation of primary radiation. CNR could be restored by increasing dose by factors of ~1.6-2.5 depending on GR, e.g., increase from 4.6 mGy for the thorax and 12.5 mGy for the abdomen without antiscatter grids to approximately 12 mGy and 30 mGy, respectively, with a high-GR grid. However, increasing the dose poses a significant impediment to repeat intraoperative CBCT and can cause the cumulative intraoperative dose to exceed that of a single diagnostic CT scan. This places the mobile C-arm in the category of extended CBCT geometries with sufficient air gap for which the tradeoffs between CNR and dose typically do not favor incorporation of an antiscatter grid.

Mesh:

Year:  2012        PMID: 22225284      PMCID: PMC3261054          DOI: 10.1118/1.3666947

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


  14 in total

1.  Derivation of linear attenuation coefficients from CT numbers for low-energy photons.

Authors:  Y Watanabe
Journal:  Phys Med Biol       Date:  1999-09       Impact factor: 3.609

2.  Cone-beam computed tomography with a flat-panel imager: magnitude and effects of x-ray scatter.

Authors:  J H Siewerdsen; D A Jaffray
Journal:  Med Phys       Date:  2001-02       Impact factor: 4.071

3.  Optimization of x-ray imaging geometry (with specific application to flat-panel cone-beam computed tomography).

Authors:  J H Siewerdsen; D A Jaffray
Journal:  Med Phys       Date:  2000-08       Impact factor: 4.071

4.  Spektr: a computational tool for x-ray spectral analysis and imaging system optimization.

Authors:  J H Siewerdsen; A M Waese; D J Moseley; S Richard; D A Jaffray
Journal:  Med Phys       Date:  2004-11       Impact factor: 4.071

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

Authors:  J H Siewerdsen; D J Moseley; B Bakhtiar; S Richard; D A Jaffray
Journal:  Med Phys       Date:  2004-12       Impact factor: 4.071

6.  Grids or air gaps for scatter reduction in digital radiography: a model calculation.

Authors:  U Neitzel
Journal:  Med Phys       Date:  1992 Mar-Apr       Impact factor: 4.071

7.  Dose and image quality for a cone-beam C-arm CT system.

Authors:  Rebecca Fahrig; Robert Dixon; Thomas Payne; Richard L Morin; Arundhuti Ganguly; Norbert Strobel
Journal:  Med Phys       Date:  2006-12       Impact factor: 4.071

8.  Calibration model of a dual gain flat panel detector for 2D and 3D x-ray imaging.

Authors:  C Schmidgunst; D Ritter; E Lang
Journal:  Med Phys       Date:  2007-09       Impact factor: 4.071

9.  A dedicated cone-beam CT system for musculoskeletal extremities imaging: design, optimization, and initial performance characterization.

Authors:  W Zbijewski; P De Jean; P Prakash; Y Ding; J W Stayman; N Packard; R Senn; D Yang; J Yorkston; A Machado; J A Carrino; J H Siewerdsen
Journal:  Med Phys       Date:  2011-08       Impact factor: 4.071

10.  Intraoperative cone-beam CT for guidance of head and neck surgery: Assessment of dose and image quality using a C-arm prototype.

Authors:  M J Daly; J H Siewerdsen; D J Moseley; D A Jaffray; J C Irish
Journal:  Med Phys       Date:  2006-10       Impact factor: 4.071

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  16 in total

1.  Monte Carlo study of the effects of system geometry and antiscatter grids on cone-beam CT scatter distributions.

Authors:  A Sisniega; W Zbijewski; A Badal; I S Kyprianou; J W Stayman; J J Vaquero; J H Siewerdsen
Journal:  Med Phys       Date:  2013-05       Impact factor: 4.071

2.  Deformable image registration for cone-beam CT guided transoral robotic base-of-tongue surgery.

Authors:  S Reaungamornrat; W P Liu; A S Wang; Y Otake; S Nithiananthan; A Uneri; S Schafer; E Tryggestad; J Richmon; J M Sorger; J H Siewerdsen; R H Taylor
Journal:  Phys Med Biol       Date:  2013-06-27       Impact factor: 3.609

3.  Soft-tissue imaging with C-arm cone-beam CT using statistical reconstruction.

Authors:  Adam S Wang; J Webster Stayman; Yoshito Otake; Gerhard Kleinszig; Sebastian Vogt; Gary L Gallia; A Jay Khanna; Jeffrey H Siewerdsen
Journal:  Phys Med Biol       Date:  2014-02-07       Impact factor: 3.609

4.  A model-based scatter artifacts correction for cone beam CT.

Authors:  Wei Zhao; Don Vernekohl; Jun Zhu; Luyao Wang; Lei Xing
Journal:  Med Phys       Date:  2016-04       Impact factor: 4.071

5.  Soft-Tissue Imaging in Low-Dose, C-Arm Cone-Beam CT Using Statistical Image Reconstruction.

Authors:  Adam S Wang; Sebastian Schafer; J Webster Stayman; Yoshito Otake; Marc S Sussman; A Jay Khanna; Gary L Gallia; Jeffrey H Siewerdsen
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2013-03-19

6.  Learning-based CBCT correction using alternating random forest based on auto-context model.

Authors:  Yang Lei; Xiangyang Tang; Kristin Higgins; Jolinta Lin; Jiwoong Jeong; Tian Liu; Anees Dhabaan; Tonghe Wang; Xue Dong; Robert Press; Walter J Curran; Xiaofeng Yang
Journal:  Med Phys       Date:  2018-12-11       Impact factor: 4.071

7.  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

8.  The role of off-focus radiation in scatter correction for dedicated cone beam breast CT.

Authors:  Linxi Shi; Srinivasan Vedantham; Andrew Karellas; Lei Zhu
Journal:  Med Phys       Date:  2017-12-16       Impact factor: 4.071

9.  Mobile C-Arm with a CMOS detector: Technical assessment of fluoroscopy and Cone-Beam CT imaging performance.

Authors:  Niral M Sheth; Wojciech Zbijewski; Matthew W Jacobson; Godwin Abiola; Gerhard Kleinszig; Sebastian Vogt; Stefan Soellradl; Jens Bialkowski; William S Anderson; Clifford R Weiss; Greg M Osgood; Jeffrey H Siewerdsen
Journal:  Med Phys       Date:  2018-11-13       Impact factor: 4.071

10.  Shading artifact correction in breast CT using an interleaved deep learning segmentation and maximum-likelihood polynomial fitting approach.

Authors:  Peymon Ghazi; Andrew M Hernandez; Craig Abbey; Kai Yang; John M Boone
Journal:  Med Phys       Date:  2019-06-23       Impact factor: 4.071

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