Literature DB >> 29159941

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

Linxi Shi1,2, Srinivasan Vedantham3,4, Andrew Karellas3,4, Lei Zhu1,5.   

Abstract

PURPOSE: Dedicated cone beam breast CT (CBBCT) suffers from x-ray scatter contamination. We aim to identify the source of the significant difference between the scatter distributions estimated by two recent methods proposed by our group and to investigate its effect on CBBCT image quality.
METHOD: We recently proposed two novel methods of scatter correction for CBBCT, using a library based (LB) technique and a forward projection (FP) model. Despite similar enhancement on CBBCT image qualities, these two methods obtain very different scatter distributions. We hypothesize that the off-focus radiation (OFR) is the contributor and results in nontrivial signals in x-ray projections, which is ignored in the scatter estimation via the LB method. Experiments using a thin wire test tool are designed to study the effect of OFR on CBBCT spatial resolution by measuring the point spread function (PSF) and the modulation transfer function (MTF). A narrow collimator setting is used to suppress the OFR-induced signals. In addition, "PSFs" and "MTFs" are measured on clinical CBBCT images obtained by the LB and FP methods using small calcifications as point sources. The improvement of spatial resolution achieved by suppressing OFR in the wire experiment as well as in the clinical study is quantified by the improvement ratios of PSFs and spatial frequencies at different MTF values. Our hypothesis that OFR causes the imaging difference between the FP and LB methods is verified if these ratios obtained from experimental and clinical data are consistent.
RESULTS: In the wire experiment, the results show that suppression of OFR increases the maximum signal of the PSF by about 14% and reduces the full-width-at-half-maximum (FWHM) by about 12.0%. Similar improvement on spatial resolution is achieved by the FP method compared with the LB method in the patient study. The improvement ratios of spatial frequencies at different MTF values without OFR match very well in both studies at a level of around 16%, with an average root-mean-square difference of 0.47%.
CONCLUSION: The results of the wire experiment and the clinical study indicate that the main difference between the LB and FP methods is whether the OFR-induced signals are included after scatter correction. Our study further shows that OFR significantly affects the image spatial resolution of CBBCT, indicating that the visualization of micro-calcifications is susceptible to OFR contamination. Our finding is therefore important in further improvement of diagnostic performance of CBBCT.
© 2017 American Association of Physicists in Medicine.

Entities:  

Keywords:  cone-beam breast CT; off-focus radiation; scatter correction

Mesh:

Year:  2017        PMID: 29159941      PMCID: PMC5985236          DOI: 10.1002/mp.12686

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


  37 in total

1.  Improved scatter correction using adaptive scatter kernel superposition.

Authors:  M Sun; J M Star-Lack
Journal:  Phys Med Biol       Date:  2010-10-28       Impact factor: 3.609

2.  Evaluation of the spatial resolution characteristics of a cone-beam breast CT scanner.

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Journal:  Med Phys       Date:  2007-01       Impact factor: 4.071

3.  Combining deterministic and Monte Carlo calculations for fast estimation of scatter intensities in CT.

Authors:  Yiannis Kyriakou; Thomas Riedel; Willi A Kalender
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4.  The influence of bowtie filtration on cone-beam CT image quality.

Authors:  N Mail; D J Moseley; J H Siewerdsen; D A Jaffray
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Journal:  Med Phys       Date:  2009-06       Impact factor: 4.071

6.  Efficient scatter distribution estimation and correction in CBCT using concurrent Monte Carlo fitting.

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7.  Evolution of spatial resolution in breast CT at UC Davis.

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8.  Local filtration based scatter correction for cone-beam CT using primary modulation.

Authors:  Lei Zhu
Journal:  Med Phys       Date:  2016-11       Impact factor: 4.071

9.  Xeromammography and 1200 breast cancers.

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Authors:  Molly Donovan Wong; Xizeng Wu; Hong Liu
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  8 in total

1.  Cone-beam breast computed tomography using ultra-fast image reconstruction with constrained, total-variation minimization for suppression of artifacts.

Authors:  Hsin Wu Tseng; Srinivasan Vedantham; Andrew Karellas
Journal:  Phys Med       Date:  2020-04-28       Impact factor: 2.685

2.  Cone-beam breast CT using an offset detector: effect of detector offset and image reconstruction algorithm.

Authors:  Hsin Wu Tseng; Andrew Karellas; Srinivasan Vedantham
Journal:  Phys Med Biol       Date:  2022-04-07       Impact factor: 4.174

3.  Dedicated cone-beam breast CT using laterally-shifted detector geometry: Quantitative analysis of feasibility for clinical translation.

Authors:  Srinivasan Vedantham; Hsin-Wu Tseng; Souleymane Konate; Linxi Shi; Andrew Karellas
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4.  Shading correction for volumetric CT using deep convolutional neural network and adaptive filter.

Authors:  Xiaokun Liang; Na Li; Zhicheng Zhang; Shaode Yu; Wenjian Qin; Yafen Li; Shupeng Chen; Huailing Zhang; Yaoqin Xie
Journal:  Quant Imaging Med Surg       Date:  2019-07

5.  Characterization of x-ray focal spots using a rotating edge.

Authors:  Linxi Shi; N Robert Bennett; Adam S Wang
Journal:  J Med Imaging (Bellingham)       Date:  2021-03-25

6.  Sparse-view, short-scan, dedicated cone-beam breast computed tomography: image quality assessment.

Authors:  Hsin Wu Tseng; Andrew Karellas; Srinivasan Vedantham
Journal:  Biomed Phys Eng Express       Date:  2020-09-28

7.  Radiation dosimetry of a clinical prototype dedicated cone-beam breast CT system with offset detector.

Authors:  Hsin Wu Tseng; Andrew Karellas; Srinivasan Vedantham
Journal:  Med Phys       Date:  2021-01-26       Impact factor: 4.506

8.  A residual dense network assisted sparse view reconstruction for breast computed tomography.

Authors:  Zhiyang Fu; Hsin Wu Tseng; Srinivasan Vedantham; Andrew Karellas; Ali Bilgin
Journal:  Sci Rep       Date:  2020-12-03       Impact factor: 4.379

  8 in total

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