On an analytical, spatially-varying, point-spread-function

Lucien Roquette, Matthieu Simeoni, Paul Hurley, Adrien Besson

Research output: Chapter in Book / Conference PaperConference Paperpeer-review

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 languageEnglish
Title of host publication2017 IEEE International Ultrasonics Symposium, 6-9 September, 2017, Washington, D.C., USA
PublisherIEEE
Number of pages4
ISBN (Print)9781538633830
DOIs
Publication statusPublished - 2017
EventIEEE International Ultrasonics Symposium -
Duration: 1 Jan 2017 → …

Conference

ConferenceIEEE International Ultrasonics Symposium
Period1/01/17 → …

Keywords

  • radio frequency
  • ultrasonic imaging

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