초록 ▼

A method and apparatus for calibrating the detector gain of a dual energy digital radiography system is provided. A basis material calibration object is scanned to create low and high energy pixel data. A regression is performed on the pixel data to derive at least one high energy calibration vector

A method and apparatus for calibrating the detector gain of a dual energy digital radiography system is provided. A basis material calibration object is scanned to create low and high energy pixel data. A regression is performed on the pixel data to derive at least one high energy calibration vector and at least one low energy calibration vector. The calibration vectors are transformed into high and low energy gain functions represented by a Taylor series expansion. An examination object is scanned to create low and high energy image data. The image data is combined with the gain function to create corrected low and high energy image data.

대표청구항 ▼

A method of calibrating a dual energy digital radiography system, utilizing a radiation source, a detector array responsive to radiation of at least two different energies spaced from the source to accommodate the placement of an object in a space between the source and detector array, scanning mean

A method of calibrating a dual energy digital radiography system, utilizing a radiation source, a detector array responsive to radiation of at least two different energies spaced from the source to accommodate the placement of an object in a space between the source and detector array, scanning means for effecting relative scanning motion between the detector array and an object when said object is located in said object space, said calibration method comprising the steps of; (a) scanning a multiplicity of thicknesses of basis materials to create a matrix of low and high energy pixel data; (b) performing a regression on said matrix of low and high energy pixel data to derive at least one low energy coefficient vector and at least one high energy coefficient vector; (c) transforming said at least one low energy and at least one high energy coefficient vectors to low and high energy gain functions; (d) scanning an examination object to create low and high energy image data; (e) combining said low and high energy image data with said low and high energy gain functions to create corrected low and high energy image data.