On an Analytical, Spatially-Varying, Point-Spread-Function

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.


Published in:
2017 Ieee International Ultrasonics Symposium (Ius)
Presented at:
2017 IEEE International Ultrasound Symposium (IUS), Washington D.C. USA, September 6-9, 2017
Year:
2017
Publisher:
New York, Ieee
ISSN:
1948-5719
ISBN:
978-1-5386-3383-0
Keywords:
Laboratories:




 Record created 2017-08-24, last modified 2019-03-17

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