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Photoacoustic image reconstruction from a frequency-invariant source localization perspective

Salehin, S.M.Akramus; Abhayapala, Thushara

Description

Photoacoustic imaging provides high spatial resolution images of biological tissues and is useful for molecular imaging. The exact reconstruction algorithms for photoacoustic imaging are either slow or assume a continuous sensor with infinite bandwidth. We propose a novel reconstruction method which expands the source distribution function in the Fourier-Bessel domain. The source distribution can be reconstructed from frequency samples corresponding to the Bessel zeros. Sparsity of the source...[Show more]

dc.contributor.authorSalehin, S.M.Akramus
dc.contributor.authorAbhayapala, Thushara
dc.coverage.spatialAalborg Denmark
dc.date.accessioned2015-12-10T22:57:59Z
dc.date.createdAugust 23-27 2010
dc.identifier.urihttp://hdl.handle.net/1885/60662
dc.description.abstractPhotoacoustic imaging provides high spatial resolution images of biological tissues and is useful for molecular imaging. The exact reconstruction algorithms for photoacoustic imaging are either slow or assume a continuous sensor with infinite bandwidth. We propose a novel reconstruction method which expands the source distribution function in the Fourier-Bessel domain. The source distribution can be reconstructed from frequency samples corresponding to the Bessel zeros. Sparsity of the source distribution in the Fourier-Bessel domain makes reconstruction faster. Further, this method was extended to the discrete aperture and a condition was derived to avoid spatial aliasing. The proposed method was verified using numerical simulations.
dc.publisherEuropean Association for Signal Processing
dc.relation.ispartofseriesEuropean Signal Processing Conference (EUSIPCO 2010)
dc.sourceProceedings of the European Signal Processing Conference (EUSIPCO 2010)
dc.subjectKeywords: Biological tissues; Exact reconstruction; Frequency invariant; High spatial resolution images; Photo-acoustic imaging; Reconstruction method; Source distribution; Source localization; Spatial aliasing; Image reconstruction; Molecular imaging; Signal proce
dc.titlePhotoacoustic image reconstruction from a frequency-invariant source localization perspective
dc.typeConference paper
local.description.notesImported from ARIES
local.description.refereedYes
dc.date.issued2010
local.identifier.absfor090609 - Signal Processing
local.identifier.ariespublicationu4334215xPUB554
local.type.statusPublished Version
local.contributor.affiliationSalehin, S.M.Akramus, College of Engineering and Computer Science, ANU
local.contributor.affiliationAbhayapala, Thushara, College of Engineering and Computer Science, ANU
local.description.embargo2037-12-31
local.bibliographicCitation.startpage1627
local.bibliographicCitation.lastpage1631
local.identifier.absseo970109 - Expanding Knowledge in Engineering
local.identifier.absseo970110 - Expanding Knowledge in Technology
local.identifier.absseo920203 - Diagnostic Methods
dc.date.updated2016-02-24T11:01:52Z
local.identifier.scopusID2-s2.0-84863799138
CollectionsANU Research Publications

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