Literature DB >> 10087134

Efficient object scatter correction algorithm for third and fourth generation CT scanners.

B Ohnesorge1, T Flohr, K Klingenbeck-Regn.   

Abstract

X-ray photons which are scattered inside the object slice and reach the detector array increase the detected signal and produce image artifacts as "cupping" effects in large objects and dark bands between regions of high attenuation. The artifact amplitudes increase with scanned volume or slice width. Object scatter can be reduced in third generation computed tomography (CT) geometry by collimating the detector elements. However, a correction can still improve image quality. For fourth generation CT geometry, only poor anti-scatter collimation is possible and a numeric correction is necessary. This paper presents a correction algorithm which can be parameterized for third and fourth generation CT geometry. The method requires low computational effort and allows flexible application to different body regions by simple parameter adjustments. The object scatter intensity which is subtracted from the measured signal is calculated with convolution of the weighted and windowed projection data with a spatially invariant "scatter convolution function". The scatter convolution function is approximated for the desired scanner geometry from pencil beam simulations and measurements using coherent and incoherent differential scatter cross section data. Several examples of phantom and medical objects scanned with third and fourth generation CT systems are discussed. In third generation scanners, scatter artifacts are effectively corrected. For fourth generation geometry with poor anti-scatter collimation, object scatter artifacts are strongly reduced.

Mesh:

Year:  1999        PMID: 10087134     DOI: 10.1007/s003300050710

Source DB:  PubMed          Journal:  Eur Radiol        ISSN: 0938-7994            Impact factor:   5.315


  14 in total

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Authors:  Habib Zaidi; Kenneth F Koral
Journal:  Eur J Nucl Med Mol Imaging       Date:  2004-03-31       Impact factor: 9.236

2.  Assessment of errors caused by X-ray scatter and use of contrast medium when using CT-based attenuation correction in PET.

Authors:  Mohammad Reza Ay; Habib Zaidi
Journal:  Eur J Nucl Med Mol Imaging       Date:  2006-04-19       Impact factor: 9.236

3.  An Accurate Scatter Measurement and Correction Technique for Cone Beam Breast CT Imaging Using Scanning Sampled Measurement (SSM) Technique.

Authors:  Xinming Liu; Chris C Shaw; Tianpeng Wang; Lingyun Chen; Mustafa C Altunbas; S Cheenu Kappadath
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2006-02-28

4.  Correction for patient table-induced scattered radiation in cone-beam computed tomography (CBCT).

Authors:  Mingshan Sun; Tamás Nagy; Gary Virshup; Larry Partain; Markus Oelhafen; Josh Star-Lack
Journal:  Med Phys       Date:  2011-04       Impact factor: 4.071

5.  Radiation doses in volume-of-interest breast computed tomography--A Monte Carlo simulation study.

Authors:  Chao-Jen Lai; Yuncheng Zhong; Ying Yi; Tianpeng Wang; Chris C Shaw
Journal:  Med Phys       Date:  2015-06       Impact factor: 4.071

6.  Robust primary modulation-based scatter estimation for cone-beam CT.

Authors:  Ludwig Ritschl; Rebecca Fahrig; Michael Knaup; Joscha Maier; Marc Kachelrieß
Journal:  Med Phys       Date:  2015-01       Impact factor: 4.071

7.  Scatter correction associated with dedicated dual-source CT hardware improves accuracy of lung air measures.

Authors:  Sean D Mobberley; Matthew K Fuld; Jered P Sieren; Andrew N Primak; Eric A Hoffman
Journal:  Acad Radiol       Date:  2013-11       Impact factor: 3.173

8.  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

9.  Optimization of the geometry and speed of a moving blocker system for cone-beam computed tomography scatter correction.

Authors:  Xi Chen; Luo Ouyang; Hao Yan; Xun Jia; Bin Li; Qingwen Lyu; You Zhang; Jing Wang
Journal:  Med Phys       Date:  2017-09       Impact factor: 4.071

10.  Experimental implementation of a polyenergetic statistical reconstruction algorithm for a commercial fan-beam CT scanner.

Authors:  Joshua D Evans; Bruce R Whiting; David G Politte; Joseph A O'Sullivan; Paul F Klahr; Jeffrey F Williamson
Journal:  Phys Med       Date:  2013-01-21       Impact factor: 2.685

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