Title :
Acoustic imaging using a maximum likelihood approach
Author :
Kerner, Yair ; Porat, Moshe
Author_Institution :
Dept. of Electr. Eng., Technion - Israel Inst. of Technol., Haifa
Abstract :
We develop a new method to exploit pairs of acoustic scans of the same image with the aim of enhancing the quality of acoustic imaging. Each image pair is assumed to be co-registered with 90deg separation between the two insonification directions. Using multi-channel image restoration, the proposed approach provides significant improvement in the quality of ultrasound imaging. Enhanced images are presented, and the advantages of this new approach over presently available methods are discussed.
Keywords :
image restoration; maximum likelihood detection; ultrasonic imaging; acoustic imaging; acoustic scans; maximum likelihood approach; multichannel image restoration; ultrasound imaging; Acoustic imaging; Additive noise; Biomedical imaging; Deconvolution; Image restoration; Niobium; Partitioning algorithms; Radio frequency; Reflectivity; Ultrasonic imaging;
Conference_Titel :
Direct and Inverse Problems of Electromagnetic and Acoustic Wave Theory, 2008. DIPED 2008. 13th International Seminar/Workshop on
Conference_Location :
Tbilisi
Print_ISBN :
978-966-02-4649-2
DOI :
10.1109/DIPED.2008.4671833