Abstract
![CDATA[The point spread function (PSF), namely the response of an ultrasound system to a point source, is a powerful measure of the quality of an imaging system. The lack of an analytical formulation inhibits many applications ranging from apodization optimization, array-design, and deconvolution algorithms. We propose to fill this gap through a general PSF derivation that is flexible with respect to the type of transmission (synthetic aperture, plane-wave, diverging-wave etc.), while faithfully capturing the spatially-variant blurring of the Tissue Reflectivity Function as caused by Delay-And-Sum reconstruction. We validate the derived PSF against simulation using Field II, and show that accounting for PSF spatial-variability in sparse-based deconvolution improves reconstruction.]]
Original language | English |
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Title of host publication | 2017 IEEE International Ultrasonics Symposium, 6-9 September, 2017, Washington, D.C., USA |
Publisher | IEEE |
Number of pages | 4 |
ISBN (Print) | 9781538633830 |
DOIs | |
Publication status | Published - 2017 |
Event | IEEE International Ultrasonics Symposium - Duration: 1 Jan 2017 → … |
Conference
Conference | IEEE International Ultrasonics Symposium |
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Period | 1/01/17 → … |
Keywords
- radio frequency
- ultrasonic imaging