Renormalization Method for X-ray Multiple Scattering Simulation

A technology of multiple scattering and X-rays, applied in the field of medical image processing, can solve problems such as divergence and non-convergence of integration, and achieve the effects of improving simulation efficiency, reducing calculation amount, and eliminating errors

Active Publication Date: 2018-01-16
SHANGHAI UNITED IMAGING HEALTHCARE
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Problems solved by technology

Although this method makes full use of the low-variance nature of the quasi-random sequence, the variance of the Monte Carlo simulation integration algorithm is minimized, and the amount of calculation is greatly reduced. The distance between random points is so close that the variance of multiple scattering diverges and the integral does not converge

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  • Renormalization Method for X-ray Multiple Scattering Simulation
  • Renormalization Method for X-ray Multiple Scattering Simulation
  • Renormalization Method for X-ray Multiple Scattering Simulation

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Embodiment Construction

[0022] The renormalization method for X-ray multiple scattering simulation of the present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments. Advantages and features of the present invention will be apparent from the following description and claims. It should be noted that all the drawings are in very simplified form and use imprecise ratios, which are only used for the purpose of conveniently and clearly assisting in describing the embodiments of the present invention.

[0023] The invention provides a renormalization method for X-ray multiple scattering simulation, which uses quasi-random low-difference sequences instead of pseudo-random numbers to generate a series of scattering sequences and renormalizes the photon paths formed by the scattering sequences, so that photons After renormalization, the probability density of all photon paths arriving at the grid point of the detector through n times of scat...

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Abstract

The present invention provides a renormalization method for X-ray multiple scattering simulation, comprising the following steps: a) generating a low-difference sequence with a length of m in [0,1]3n space, where n is the number of scattering times and is greater than 1 A positive integer of , m is the number of samples; b) a scatter point sequence matching the geometry of the motif is generated by performing isomorphic mapping transformation on the low-difference sequence; c) each detector grid is mapped by the scatter point sequence The points form m photon paths; d) renormalize each photon path of the m photon paths; e) determine that the photons reach the detector through n times of scattering along a photon path after the renormalization process The probability density of the grid points; f) obtaining the scattering intensity on each detector grid point according to the probability density of the photons scattered by n times along each photon path after the renormalization process. The method provided by the invention can improve the simulation efficiency of multiple scattering, and eliminate the error caused by discontinuity in the boundary of the phantom.

Description

【Technical field】 [0001] The invention relates to the technical field of medical image processing, in particular to a renormalization method for X-ray multiple scattering simulation. 【technical background】 [0002] Numerical simulation of scattering based on geometric model is the basis of X-ray scattering correction technology. The complex distribution of scattered radiation in diagnostic radiology is commonly studied by performing Monte Carlo simulations on voxelized object models obtained from reconstructed CT images for the purpose of scatter correction for X-rays. [0003] In the existing Monte Carlo X-ray scattering simulation, a series of pseudo-random numbers or quasi-random sequences are generally used to determine the exit fan angle, opening angle and projection depth of the photons, and track the arrival of each beam of photons at the grid point of the detector. probability and integrated to obtain the X-ray scattering distribution. CRFD as described in the lite...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): A61B6/00
Inventor 张笛儿
Owner SHANGHAI UNITED IMAGING HEALTHCARE
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