Low-cost, high-speed back-end processing system for high-frequency ultrasound B-mode imaging

For real-time visualization of the mouse heart (6 to 13 beats per second), a back-end processing system involving high-speed signal processing functions to form and display images has been developed. This back-end system was designed with new signal processing algorithms to achieve a frame rate of m...

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Bibliographische Detailangaben
Veröffentlicht in:IEEE transactions on ultrasonics, ferroelectrics, and frequency control. - 1986. - 56(2009), 7 vom: 15. Juli, Seite 1490-7
1. Verfasser: Chang, Jin Ho (VerfasserIn)
Weitere Verfasser: Sun, Lei, Yen, Jesse T, Shung, K Kirk
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2009
Zugriff auf das übergeordnete Werk:IEEE transactions on ultrasonics, ferroelectrics, and frequency control
Schlagworte:Letter Research Support, N.I.H., Extramural
Beschreibung
Zusammenfassung:For real-time visualization of the mouse heart (6 to 13 beats per second), a back-end processing system involving high-speed signal processing functions to form and display images has been developed. This back-end system was designed with new signal processing algorithms to achieve a frame rate of more than 400 images per second. These algorithms were implemented in a simple and cost-effective manner with a single field-programmable gate array (FPGA) and software programs written in C++. The operating speed of the back-end system was investigated by recording the time required for transferring an image to a personal computer. Experimental results showed that the back-end system is capable of producing 433 images per second. To evaluate the imaging performance of the back-end system, a complete imaging system was built. This imaging system, which consisted of a recently reported high-speed mechanical sector scanner assembled with the back-end system, was tested by imaging a wire phantom, a pig eye (in vitro), and a mouse heart (in vivo). It was shown that this system is capable of providing high spatial resolution images with fast temporal resolution
Beschreibung:Date Completed 22.10.2009
Date Revised 20.10.2021
published: Print
Citation Status MEDLINE
ISSN:1525-8955
DOI:10.1109/TUFFC.2009.1205