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dc.contributor.author
Sanabria, Sergio J.
dc.contributor.author
Ozkan, Ece
dc.contributor.author
Rominger, Marga
dc.contributor.author
Göksel, Orçun
dc.date.accessioned
2019-10-31T14:35:28Z
dc.date.available
2018-10-29T10:29:25Z
dc.date.available
2018-10-29T10:41:49Z
dc.date.available
2019-05-18T09:30:19Z
dc.date.available
2019-10-30T15:30:45Z
dc.date.available
2019-10-31T14:35:28Z
dc.date.issued
2018-10
dc.identifier.issn
1361-6560
dc.identifier.issn
0031-9155
dc.identifier.other
10.1088/1361-6560/aae2fb
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/299371
dc.identifier.doi
10.3929/ethz-b-000299371
dc.description.abstract
Despite many uses of ultrasound, some pathologies such as breast cancer still cannot reliably be diagnosed in either conventional B-mode ultrasound imaging nor with more recent ultrasound elastography methods. Speed-of-sound (SoS) is a quantitative imaging biomarker, which is sensitive to structural changes due to pathology, and hence could facilitate diagnosis. Full-angle ultrasound computed tomography (USCT) was proposed to obtain spatially-resolved SoS images, however, its water-bath setup involves practical limitations. To increase clinical utility and for widespread use, recently, a limited-angle Fourier-domain SoS reconstruction was proposed, however, it suffers from significant image reconstruction artifacts. In this work, we present a SoS reconstruction strategy, where the forward problem is formulated using differential time-of-flight measurements based on apparent displacements along different ultrasound wave propagation paths, and the inverse problem is solved in spatial-domain using a proposed total-variation scheme with spatially-varying anisotropic weighting to compensate for geometric bias from limited angle imaging setup. This is shown to be robust to missing displacement data and easily allow for incorporating any prior geometric information. In numerical simulations, SoS values in inclusions are accurately reconstructed with 90% accuracy up to a noise level of 50%. With respect to Fourier-domain reconstruction, our proposed method improved contrast ratio from 0.37 to 0.67 for even high noise levels such as 50%. Numerical full-wave simulation and our preliminary in vivo results illustrate the clinical applicability of our method in a breast cancer imaging setting. Our proposed method requires single-sided access to the tissue and can be implemented as an add-on to conventional ultrasound equipment, applicable to a range of transducers and applications.
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
IOP Publishing
en_US
dc.rights.uri
http://rightsstatements.org/page/InC-NC/1.0/
dc.title
Spatial domain reconstruction for imaging speed-of-sound with pulse-echo ultrasound: simulation and in vivo study
en_US
dc.type
Journal Article
dc.rights.license
In Copyright - Non-Commercial Use Permitted
dc.date.published
2018-10-26
ethz.journal.title
Physics in Medicine and Biology
ethz.journal.volume
63
en_US
ethz.journal.issue
21
en_US
ethz.journal.abbreviated
Phys. Med. & Biol.
ethz.pages.start
215015
en_US
ethz.size
26 p. accepted version
en_US
ethz.version.deposit
acceptedVersion
en_US
ethz.grant
Elastography: Imaging Soft Tissue Elasticity
en_US
ethz.grant
Imaging Soft Tissue Elasticity
en_US
ethz.identifier.wos
ethz.identifier.scopus
ethz.publication.place
Bristol
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02140 - Dep. Inf.technologie und Elektrotechnik / Dep. of Inform.Technol. Electrical Eng.::02652 - Institut für Bildverarbeitung / Computer Vision Laboratory::09528 - Göksel, Orçun (SNF-Professur) / Göksel, Orçun (SNF-Professur)
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02140 - Dep. Inf.technologie und Elektrotechnik / Dep. of Inform.Technol. Electrical Eng.::02652 - Institut für Bildverarbeitung / Computer Vision Laboratory::09528 - Göksel, Orçun (SNF-Professur) / Göksel, Orçun (SNF-Professur)
en_US
ethz.grant.agreementno
150620
ethz.grant.agreementno
179116
ethz.grant.fundername
SNF
ethz.grant.fundername
SNF
ethz.grant.funderDoi
10.13039/501100001711
ethz.grant.funderDoi
10.13039/501100001711
ethz.grant.program
SNF-Förderungsprofessuren Stufe 2
ethz.grant.program
SNF-Förderungsprofessuren: Fortsetzungsgesuche
ethz.relation.cites
20.500.11850/126111
ethz.relation.cites
20.500.11850/222370
ethz.relation.cites
20.500.11850/254381
ethz.date.deposited
2018-10-29T10:29:30Z
ethz.source
FORM
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2018-10-29T10:42:21Z
ethz.rosetta.lastUpdated
2021-02-15T06:30:29Z
ethz.rosetta.exportRequired
true
ethz.rosetta.versionExported
true
ethz.COinS
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