An efficient scatter correction algorithm based on pre-reconstructed images of contrast enhancement and sparse-viewed Monte Carlo simulation

Hao Yan, Xuanqin Mou

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

X-ray scatter is a major degrading factor in x-ray cone beam (CB) CT imaging. In the scatter corrections by using Monte Carlo (MC) simulation, the initial MC modeling is not accurate based on the scatter-polluted volume images, thus the correction has to be performed iteratively, which is one of the reasons that MC based correction is computational demanding. In this paper, we found a relationship that the ratio of IS (scatter) to I P+S (primary plus scatter) can be approximated by the weighted data in Radon space. On this basis, we develop a strategy called Projection Contrast Enhancement based Pre-Correction (PCEPC). PCEPC is efficient, achieving a scatter pre-correction with enhanced image Quality (Q) of ∼0.7 (Q=1 for scatter-free images; Q=0 for scatter-contaminated images without correction). By using the results of PCEPC, more accurate MC modeling on the scanned object is feasible with less iterations or even in a non-iterative way, namely as the PCEPC-MC method. An exemplary non-iterative PCEPC-MC is implemented, in which the scatter fluence of eighteen views equally distributed over 2π is simulated by MC toolkit EGSnrc, enhancing the Q further to ∼0.8.

Original languageEnglish (US)
Title of host publicationProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume7961
DOIs
StatePublished - 2011
EventMedical Imaging 2011: Physics of Medical Imaging - Lake Buena Vista, FL, United States
Duration: Feb 13 2011Feb 17 2011

Other

OtherMedical Imaging 2011: Physics of Medical Imaging
CountryUnited States
CityLake Buena Vista, FL
Period2/13/112/17/11

Fingerprint

Image Enhancement
X-Rays
Monte Carlo Method
X rays
Radon
Cone-Beam Computed Tomography
augmentation
Image quality
Cones
Monte Carlo methods
simulation
projection
Imaging techniques
Monte Carlo simulation
radon
iteration
Monte Carlo method
cones
fluence
x rays

Keywords

  • cone-beam, CT
  • contrast
  • Monte carlo (MC)
  • scatter correction

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics
  • Electronic, Optical and Magnetic Materials
  • Biomaterials
  • Radiology Nuclear Medicine and imaging

Cite this

Yan, H., & Mou, X. (2011). An efficient scatter correction algorithm based on pre-reconstructed images of contrast enhancement and sparse-viewed Monte Carlo simulation. In Progress in Biomedical Optics and Imaging - Proceedings of SPIE (Vol. 7961). [796136] https://doi.org/10.1117/12.877551

An efficient scatter correction algorithm based on pre-reconstructed images of contrast enhancement and sparse-viewed Monte Carlo simulation. / Yan, Hao; Mou, Xuanqin.

Progress in Biomedical Optics and Imaging - Proceedings of SPIE. Vol. 7961 2011. 796136.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Yan, H & Mou, X 2011, An efficient scatter correction algorithm based on pre-reconstructed images of contrast enhancement and sparse-viewed Monte Carlo simulation. in Progress in Biomedical Optics and Imaging - Proceedings of SPIE. vol. 7961, 796136, Medical Imaging 2011: Physics of Medical Imaging, Lake Buena Vista, FL, United States, 2/13/11. https://doi.org/10.1117/12.877551
Yan, Hao ; Mou, Xuanqin. / An efficient scatter correction algorithm based on pre-reconstructed images of contrast enhancement and sparse-viewed Monte Carlo simulation. Progress in Biomedical Optics and Imaging - Proceedings of SPIE. Vol. 7961 2011.
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