The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Dec. 06, 2016
Filed:
Jul. 22, 2014
Tsinghua University, Beijing, CN;
Nuctech Company Limited, Beijing, CN;
Yuxiang Xing, Beijing, CN;
Le Shen, Beijing, CN;
Li Zhang, Beijing, CN;
Zhiqiang Chen, Beijing, CN;
Liang Li, Beijing, CN;
TSINGHUA UNIVERSITY, Beijing, CN;
NUCTECH COMPANY LIMITED, Beijing, CN;
Abstract
The present disclosure relates to a self-prior information based X-ray dual-energy CT reconstruction method, which can utilize information inherent in data to provide a prior model, thereby obtaining a reconstructed image with a high quality. The X-ray dual-energy CT reconstruction method according to the present disclosure comprises: (a) rating an energy spectrum and establishing a dual-energy lookup table; (b) collecting high-energy data pand low-energy data pof a dual-energy CT imaging system using a detector of the dual-energy CT imaging system; (c) obtaining projection images Rand Rof scaled images rand raccording to the obtained high-energy data pand low-energy data p; (d) reconstructing the scaled image rusing a first piece-wise smooth constraint condition and thereby obtaining an electron density image; and (e) reconstructing the scaled image rusing a second piece-wise smooth constraint condition and thereby obtaining an equivalent atomic number image. In the present disclosure, the noise in the dual-energy reconstructed image can be effectively prohibited while keeping the resolution by effectively using information inherent in data.