Patent Document ID: 9715744
Application ID: 14567557
Patent Status: 1

Claim One:
1. A method of obtaining a beam hardening correction coefficient for carrying out beam hardening correction on computed tomography data, comprising the steps of: acquiring an original reconstructed image and an original sinogram of an object of a particular size; obtaining an error-reduced sinogram after processing the original reconstructed image by error reduction; sampling and calculating an average value of the original sinogram and an average value of the error-reduced sinogram; optimizing the original sinogram according to the error-reduced sinogram to determine a coefficient vector of optimization function for the object of the particular size; and fitting the coefficient vector of the optimization function of the original sinogram to obtain the beam hardening correction coefficient for the object of the particular size; and wherein said processing the original reconstructed image by error reduction further comprises the steps of: summing computed tomography values of pixels which X-rays detected by each detector pass through according to a view before dividing the sum by the number of the pixels passed through to obtain a value aggregate P′; and locating an aggregate P of projection values corresponding to the value aggregate P′ in the original sinogram and using the following formula P × a P ′ to obtain the error-reduced sinogram, wherein a is a coefficient defined by a system for said object of the particular size; and wherein said sampling and calculating the average value of the original sinogram and the average value of the error-reduced sinogram further comprises the steps of: determining a boundary view of the original sinogram and a neighboring view of the original sinogram, as a first sampling view, and determining a boundary view of the error-reduced sinogram and a neighboring view of the error-reduced sinogram as a second sampling view; and calculating an average value of the first sampling view and an average value of the second sampling view respectively, as the average value of the original sinogram and the average value of the error-reduced sinogram.