title: Synthetic aperture focusing for medical endoscopic ultrasonography.
abstract: A new approach for synthetic aperture focusing (SAF) to enhance both signal to noise ratio (SNR) and resolution in endoscopic ultrasonography is presented in this paper. The technique uses the rotation feature of single element transducer probe, and transmits and receives the echoes at different time and locations during the rotary scanning. Based on theoretical simulation, axial and lateral matched-filters are developed according to the coded and linear frequency modulated characteristics of the echoes to implement axial and lateral compression. The effects of SNR and resolution enhancements by the new SAF approach are demonstrated by both Field II simulation and sample experiment. Data for 6 point targets are simulated and the performance of SAF is compared with those from conventional imaging method and Delay-and-Sum (DS) method. Pigskin samples are examined by a single element transducer at 8 MHz. The effects of sound speed errors and rotary scanning speed errors on both SNR and resolution are calculated to show the robustness of SAF algorithm. Both simulation and experimental results indicated that new SAF can improve SNR and resolution of ultrasound images by 9.38 dB and 51% respectively as compared with the conventional method. It therefore has potential for future clinical and research applications.
authors.affiliation: College of Precision Instrument & Opto-electronics Engineering, Tianjin University, Key Laboratory of Opto-electronics Information and Technical Science (Tianjin University), Ministry of Education, Tianjin, China. xdchen@tju.edu.cn
authors.forename: Xiaodong
authors.initials: X
authors.lastname: Chen
authors.forename: Ming
authors.initials: M
authors.lastname: Li
authors.forename: Yan
authors.initials: Y
authors.lastname: Li
authors.forename: Yi
authors.initials: Y
authors.lastname: Wang
authors.forename: Daoyin
authors.initials: D
authors.lastname: Yu
mesh_terms: D000465:Algorithms; D000818:Animals; D003198:Computer Simulation; D044962:Data Compression; D019160:Endosonography / Q000379:methods*; D012815:Signal Processing, Computer-Assisted; D013552:Swine