DocumentCode :
129242
Title :
Novel image optimization on photoacoustic tomography
Author :
Wenchao Li ; Lijun Zhang ; Jie Yuan ; Xiaojun Liu ; Guan Xu ; Xueding Wang ; Carson, Paul L.
Author_Institution :
Sch. of Electron. Sci. & Eng., Nanjing Univ., Nanjing, China
fYear :
2014
fDate :
3-6 Sept. 2014
Firstpage :
1280
Lastpage :
1283
Abstract :
Photoacoustic tomography (PAT) of biological tissue offers potential advantages in distinguishing different structures according to their chemical composition. Yet the detected photoacoustic signals are usually of low signal-to-noise ratio (SNR), which seriously deteriorates the image quality in PAT. This paper introduces an improved multi-sample based adaptive approach to solve such a problem. With this method, we are capable of reducing image noise dramatically and in addition, some detail information that used to be buried in the background noise can be discovered. We carry out both ex vivo and in vivo experiments to validate the effectiveness of our proposed method.
Keywords :
acoustic tomography; bioacoustics; biochemistry; biological tissues; biomedical optical imaging; image denoising; medical image processing; optical tomography; optimisation; background noise; biological tissue; chemical composition; image noise reduction; image optimization; image quality; multisample-based adaptive approach; photoacoustic signals; photoacoustic tomography; signal-to-noise ratio; Image reconstruction; Optical filters; Optical imaging; Signal to noise ratio; Tomography; cross-correlation; multi sample; photoacoustic imaging;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Ultrasonics Symposium (IUS), 2014 IEEE International
Conference_Location :
Chicago, IL
Type :
conf
DOI :
10.1109/ULTSYM.2014.0316
Filename :
6931861
Link To Document :
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