Search International and National Patent Collections

1. (WO2018218611) GEOMETRIC PARAMETER DETERMINATION METHOD FOR CONE BEAM COMPUTED TOMOGRAPHY SYSTEM

Pub. No.:    WO/2018/218611    International Application No.:    PCT/CN2017/086851
Publication Date: Fri Dec 07 00:59:59 CET 2018 International Filing Date: Fri Jun 02 01:59:59 CEST 2017
IPC: A61B 6/03
Applicants: GUANGZHOU HUADUAN TECHNOLOGY CO., LTD.
广州华端科技有限公司
Inventors: LI, Hanwei
李翰威
QI, Hongliang
齐宏亮
LUO, Yibin
骆毅斌
WU, Shuyu
吴书裕
ZHAN, Xinzhi
詹欣智
HUANG, Wenji
黄文记
Title: GEOMETRIC PARAMETER DETERMINATION METHOD FOR CONE BEAM COMPUTED TOMOGRAPHY SYSTEM
Abstract:
The invention provides a geometric parameter determination method for a cone beam computed tomography system. The method comprises: obtaining first projection data when a CBCT system detector is in an unbiased state and second projection data when the CBCT system detector moves horizontally to a set bias state, respectively under the condition that the CBCT system detector is in an unbiased state and the CBCT system detector is horizontally moved to the set bias state (S10); obtaining a projection data set A in the first projection data, calculating a center point coordinate of the projection data set A, acquiring a projection data set B in the second projection data, and calculating a center point coordinate of the projection data set B (S20); determining estimated coordinates of a projection of a sphere center of each small ball markers in a CBCT geometric parameter correction device and an objective function of the CBCT geometric parameter correction device, according to the center point coordinates of the projection data set A, the center point coordinates of the projection data set B, and the correspondence between the projection data set A and the projection data set B (S30); and calculating the estimated coordinates when the objective function takes the minimum value to obtain an optimized estimate, and determining geometric parameters of the CBCT system during the sampling process on the basis of the optimized estimates (S40).