Literature DB >> 21358018

Removal and effects of scatter-glare in cone-beam CT with an amorphous-silicon flat-panel detector.

G Poludniowski1, P M Evans1, A Kavanagh1, S Webb1.   

Abstract

Scatter in a detector and its housing can result in image degradation. Typically, such scatter leads to a low-spatial frequency 'glare' superimposed on the primary signal. We infer the glare-spread function (GSF) of an amorphous-silicon flat-panel detector via an edge-spread technique. We demonstrate that this spread (referred to as 'scatter-glare' herein) causes a low-spatial frequency drop in the associated modulation-transfer function. This results in a compression of the range of reconstructed CT (computed tomography) numbers and is an impediment to accurate CT-number calibration. We show that it can also lead to visual artefacts. This explains previously unresolved CT-number discrepancies in an earlier work (Poludniowski et al 2009 Phys. Med. Biol. 54 3847). We demonstrate that after deconvolving the GSF from the projection images, in conjunction with a correction for phantom-scatter, the CT-number discrepancies disappear. We show results for an in-house-built phantom with inserts of tissue-equivalent materials and for a patient scan. We conclude that where scatter-glare has not been accounted for, the calibration of cone-beam CT numbers to material density will be compromised. The scatter-glare measurement method we propose is simple and requires no special equipment. The deconvolution process is also straightforward and relatively quick (60 ms per projection on a desktop PC).

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Year:  2011        PMID: 21358018     DOI: 10.1088/0031-9155/56/6/019

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  9 in total

1.  Impact of flat panel-imager veiling glare on scatter-estimation accuracy and image quality of a commercial on-board cone-beam CT imaging system.

Authors:  Dimitrios Lazos; Jeffrey F Williamson
Journal:  Med Phys       Date:  2012-09       Impact factor: 4.071

2.  A digitally reconstructed radiograph algorithm calculated from first principles.

Authors:  David Staub; Martin J Murphy
Journal:  Med Phys       Date:  2013-01       Impact factor: 4.071

3.  Relationship between x-ray illumination field size and flat field intensity and its impacts on x-ray imaging.

Authors:  Xue Dong; Tianye Niu; Xun Jia; Lei Zhu
Journal:  Med Phys       Date:  2012-10       Impact factor: 4.071

4.  Projection-domain scatter correction for cone beam computed tomography using a residual convolutional neural network.

Authors:  Yusuke Nomura; Qiong Xu; Hiroki Shirato; Shinichi Shimizu; Lei Xing
Journal:  Med Phys       Date:  2019-06-05       Impact factor: 4.071

5.  Improving dose calculation accuracy in preclinical radiation experiments using multi-energy element resolved cone-beam CT.

Authors:  Yanqi Huang; Xiaoyu Hu; Yuncheng Zhong; Youfang Lai; Chenyang Shen; Xun Jia
Journal:  Phys Med Biol       Date:  2021-12-06       Impact factor: 3.609

6.  Cone-beam CT for imaging of the head/brain: Development and assessment of scanner prototype and reconstruction algorithms.

Authors:  P Wu; A Sisniega; J W Stayman; W Zbijewski; D Foos; X Wang; N Khanna; N Aygun; R D Stevens; J H Siewerdsen
Journal:  Med Phys       Date:  2020-04-03       Impact factor: 4.071

7.  Assessing the impact of choosing different deformable registration algorithms on cone-beam CT enhancement by histogram matching.

Authors:  Halima Saadia Kidar; Hacene Azizi
Journal:  Radiat Oncol       Date:  2018-11-07       Impact factor: 3.481

8.  Comparison of CT number calibration techniques for CBCT-based dose calculation.

Authors:  Alex Dunlop; Dualta McQuaid; Simeon Nill; Julia Murray; Gavin Poludniowski; Vibeke N Hansen; Shreerang Bhide; Christopher Nutting; Kevin Harrington; Kate Newbold; Uwe Oelfke
Journal:  Strahlenther Onkol       Date:  2015-09-24       Impact factor: 3.621

9.  Feasibility evaluation of kilovoltage cone-beam computed tomography dose calculation following scatter correction: investigations of phantom and representative tumor sites.

Authors:  Huipeng Meng; Xiangjuan Meng; Qingtao Qiu; Yanlong Zhang; Xin Ming; Qifeng Li; Keqiang Wang; Ruohui Zhang; Jinghao Duan
Journal:  Transl Cancer Res       Date:  2021-08       Impact factor: 1.241

  9 in total

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