DocumentCode
2751775
Title
Fast total variation regularization for higher resolution in fluorescence tomography: A split Bregman iteration approach
Author
Behrooz, Ali ; Zhou, Hao-Min ; Eftekhar, Ali A. ; Adibi, Ali
Author_Institution
Sch. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
fYear
2011
fDate
9-13 Oct. 2011
Firstpage
725
Lastpage
726
Abstract
We present an edge-preserving regularization for fluorescence tomography that improves its resolution and noise robustness through penalizing the total variation (TV) norm of the reconstructed fluorescent distribution. Results are validated by numerical and phantom-based studies.
Keywords
biological tissues; cellular biophysics; fluorescence; image reconstruction; medical image processing; numerical analysis; optical tomography; phantoms; biological tissue; fast total variation regularization; fluorescence tomography; noise robustness; phantom; reconstructed fluorescent distribution; split Bregman iteration approach; Electron tubes; Fluorescence; Image reconstruction; Image resolution; Minimization; TV; Tomography; Medical imaging; fluorescence tomography; in-vivo imaging; molecular imaging; optical tomography;
fLanguage
English
Publisher
ieee
Conference_Titel
Photonics Conference (PHO), 2011 IEEE
Conference_Location
Arlington, VA
Print_ISBN
978-1-4244-8940-4
Type
conf
DOI
10.1109/PHO.2011.6110755
Filename
6110755
Link To Document