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.:

US 9672639 B1

PDF
Full Text
Expired
Date of Patent:
Jun. 06, 2017

Filed:

Jul. 21, 2015
Applicant:

Beijing University of Technology, Beijing, CN;

Inventors:

Jinchao Feng, Beijing, CN;

Kebin Jia, Beijing, CN;

Huijun Wei, Beijing, CN;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06T 11/00 (2006.01); A61B 5/00 (2006.01); G06T 15/50 (2011.01);
U.S. Cl.
CPC ...
G06T 11/005 (2013.01); A61B 5/0071 (2013.01); A61B 5/0073 (2013.01); A61B 5/7225 (2013.01); A61B 5/7267 (2013.01); G06T 15/506 (2013.01); A61B 2503/40 (2013.01); A61B 2576/00 (2013.01); G06T 2210/41 (2013.01);
Abstract

Implementations of the present disclosure relate to methods for reconstruction for bioluminescence tomography based on a method of multitask Bayesian compressed sensing in the field of medical image processing. The method includes the following operations. Firstly the high order approximation model is used to model the law of light propagation in biological tissues, then the inner-correlation among multispectral measurements is researched based on multitask learning method and incorporated into a reconstruction algorithm of bioluminescence tomography as prior information to reduce ill-posedness of BLT reconstruction, and then on this basis, three-dimensional reconstruction of bioluminescent source is realized. Compared with other reconstruction algorithms for BLT, the correlation among multispectral measurements is incorporated into the disclosure and the ill-posedness of BLT reconstruction is reduced. The bioluminescent source can be reconstructed and located accurately using the proposed algorithm, and computational efficiency can be greatly improved.


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