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
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;
Conference_Titel :
Photonics Conference (PHO), 2011 IEEE
Conference_Location :
Arlington, VA
Print_ISBN :
978-1-4244-8940-4
DOI :
10.1109/PHO.2011.6110755
