On an analytical, spatially-varying, formulation of the point-spread-function with an application to deconvolution

Lucien Roquette; Matthieu Simeoni; Paul Hurley; Adrien Besson

doi:10.1109/ULTSYM.2017.8092047

On an analytical, spatially-varying, formulation of the point-spread-function with an application to deconvolution

Lucien Roquette, Matthieu Simeoni, Paul Hurley, Adrien Besson

Research output: Chapter in Book / Conference Paper › Conference Paper › peer-review

Abstract

The point spread function (PSF), namely the response of a system to a point source, is a measure of the quality of an ultrasound imager system. It highly depends on the image reconstruction algorithm, and it is usually either crudely estimated by assuming spatial-invariance, or evaluated via simulation, as proposed by Field II, coupled with reconstruction algorithms, such as delay-and-sum (DAS). The lack of an analytical formulation of the PSF inhibits many applications ranging from optimization of apodization schemes, to array-design and deconvolution algorithms.

Original language	English
Title of host publication	2017 IEEE International Ultrasonics Symposium, 6-9 September, 2017, Washington, D.C., USA
Publisher	IEEE
Number of pages	1
ISBN (Print)	9781538633830
DOIs	https://doi.org/10.1109/ULTSYM.2017.8092047
Publication status	Published - 2017
Event	IEEE International Ultrasonics Symposium - Duration: 1 Jan 2017 → …

Conference

Conference	IEEE International Ultrasonics Symposium
Period	1/01/17 → …

Keywords

beamforming
ultrasonic imaging

Access to Document

10.1109/ULTSYM.2017.8092047

Cite this

@inproceedings{f6befb4d5d01430190b2995c53a73c4e,

title = "On an analytical, spatially-varying, formulation of the point-spread-function with an application to deconvolution",

abstract = "The point spread function (PSF), namely the response of a system to a point source, is a measure of the quality of an ultrasound imager system. It highly depends on the image reconstruction algorithm, and it is usually either crudely estimated by assuming spatial-invariance, or evaluated via simulation, as proposed by Field II, coupled with reconstruction algorithms, such as delay-and-sum (DAS). The lack of an analytical formulation of the PSF inhibits many applications ranging from optimization of apodization schemes, to array-design and deconvolution algorithms.",

keywords = "beamforming, ultrasonic imaging",

author = "Lucien Roquette and Matthieu Simeoni and Paul Hurley and Adrien Besson",

year = "2017",

doi = "10.1109/ULTSYM.2017.8092047",

language = "English",

isbn = "9781538633830",

booktitle = "2017 IEEE International Ultrasonics Symposium, 6-9 September, 2017, Washington, D.C., USA",

publisher = "IEEE",

note = "IEEE International Ultrasonics Symposium ; Conference date: 01-01-2017",

}

TY - GEN

T1 - On an analytical, spatially-varying, formulation of the point-spread-function with an application to deconvolution

AU - Roquette, Lucien

AU - Simeoni, Matthieu

AU - Hurley, Paul

AU - Besson, Adrien

PY - 2017

Y1 - 2017

N2 - The point spread function (PSF), namely the response of a system to a point source, is a measure of the quality of an ultrasound imager system. It highly depends on the image reconstruction algorithm, and it is usually either crudely estimated by assuming spatial-invariance, or evaluated via simulation, as proposed by Field II, coupled with reconstruction algorithms, such as delay-and-sum (DAS). The lack of an analytical formulation of the PSF inhibits many applications ranging from optimization of apodization schemes, to array-design and deconvolution algorithms.

AB - The point spread function (PSF), namely the response of a system to a point source, is a measure of the quality of an ultrasound imager system. It highly depends on the image reconstruction algorithm, and it is usually either crudely estimated by assuming spatial-invariance, or evaluated via simulation, as proposed by Field II, coupled with reconstruction algorithms, such as delay-and-sum (DAS). The lack of an analytical formulation of the PSF inhibits many applications ranging from optimization of apodization schemes, to array-design and deconvolution algorithms.

KW - beamforming

KW - ultrasonic imaging

UR - http://handle.westernsydney.edu.au:8081/1959.7/uws:52668

U2 - 10.1109/ULTSYM.2017.8092047

DO - 10.1109/ULTSYM.2017.8092047

M3 - Conference Paper

SN - 9781538633830

BT - 2017 IEEE International Ultrasonics Symposium, 6-9 September, 2017, Washington, D.C., USA

PB - IEEE

T2 - IEEE International Ultrasonics Symposium

Y2 - 1 January 2017

ER -

On an analytical, spatially-varying, formulation of the point-spread-function with an application to deconvolution

Abstract

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this