InforLorV4, Hal, Curation, bibRecord, 002C54

Intra-operative 3D micro-coil imaging using subsampled tomographic acquisition patterns on a biplane C-arm system

Identifieur interne : 002C54 ( Hal/Curation ); précédent : 002C53; suivant : 002C55

Intra-operative 3D micro-coil imaging using subsampled tomographic acquisition patterns on a biplane C-arm system

Auteurs : Charlotte Delmas [France] ; Cyril Riddell [France] ; Yves Trousset [France] ; Erwan Kerrien [France] ; Marie-Odile Berger [France] ; René Anxionnat [France] ; Serge Bracard [France]

Source :

RBID : Hal:hal-01303153

Abstract

The restriction of CBCT to micro-coil imaging allows for integrating key a priori knowledge that a coil is a high-density spatially sparse curvilinear structure. In this paper, we investigate acquisition patterns specifically designed for biplane systems allowing a faster workflow and reduced dose. Each pattern is a subsampling of a standard tomographic acquisition reconstructed with an 1-constrained algorithm to promote sparsity together with diffusion filters that promote the curvilinear nature of the coil. Three tensor-based 3D diffusion filters are investigated. Quantitative and qualitative results are provided for one coil and four patients datasets. They show how the reconstruction performs according to the selected acquisition pattern (uniform versus non-uniform subsampling), the quantity of missing information and the selected diffusion filter. We observed a systematically better recovery of the coil in reconstructions obtained using a uniform subsampling pattern but at the cost of being systematically noisier than those obtained with a non-uniform subsampling pattern. Diffusion filtering significantly reduced this structural noise.

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https://hal.inria.fr/hal-01303153

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<front><div type="abstract" xml:lang="en">The restriction of CBCT to micro-coil imaging allows for integrating key a priori knowledge that a coil is a high-density spatially sparse curvilinear structure. In this paper, we investigate acquisition patterns specifically designed for biplane systems allowing a faster workflow and reduced dose. Each pattern is a subsampling of a standard tomographic acquisition reconstructed with an 1-constrained algorithm to promote sparsity together with diffusion filters that promote the curvilinear nature of the coil. Three tensor-based 3D diffusion filters are investigated. Quantitative and qualitative results are provided for one coil and four patients datasets. They show how the reconstruction performs according to the selected acquisition pattern (uniform versus non-uniform subsampling), the quantity of missing information and the selected diffusion filter. We observed a systematically better recovery of the coil in reconstructions obtained using a uniform subsampling pattern but at the cost of being systematically noisier than those obtained with a non-uniform subsampling pattern. Diffusion filtering significantly reduced this structural noise.</div>
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<hal api="V3"><titleStmt><title xml:lang="en">Intra-operative 3D micro-coil imaging using subsampled tomographic acquisition patterns on a biplane C-arm system</title>
<author role="aut"><persName><forename type="first">Charlotte</forename>
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<author role="aut"><persName><forename type="first">Yves</forename>
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<author role="aut"><persName><forename type="first">René</forename>
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<funder>ANRT Cifre contract 2012/1280 </funder>
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<date type="whenWritten">2016-04-01</date>
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<idno type="idHal">erwan-kerrien</idno>
<idno type="halAuthorId">61501</idno>
<idno type="ORCID">http://orcid.org/0000-0001-5517-2967</idno>
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</author>
<author role="aut"><persName><forename type="first">Marie-Odile</forename>
<surname>Berger</surname>
</persName>
<idno type="halAuthorId">1150687</idno>
<affiliation ref="#struct-205123"></affiliation>
</author>
<author role="aut"><persName><forename type="first">René</forename>
<surname>Anxionnat</surname>
</persName>
<idno type="halAuthorId">61504</idno>
<affiliation ref="#struct-205123"></affiliation>
<affiliation ref="#struct-7259"></affiliation>
</author>
<author role="aut"><persName><forename type="first">Serge</forename>
<surname>Bracard</surname>
</persName>
<idno type="halAuthorId">63757</idno>
<affiliation ref="#struct-7259"></affiliation>
</author>
</analytic>
<monogr><meeting><title>Proceedings of the 4th International Conference on Image Formation in X-Ray Computed Tomography (CT meeting'16)</title>
<date type="start">2016-07-18</date>
<date type="end">2016-07-22</date>
<settlement>Bamberg</settlement>
<country key="DE">Germany</country>
</meeting>
<imprint></imprint>
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<profileDesc><langUsage><language ident="en">English</language>
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<textClass><classCode scheme="halDomain" n="info.info-im">Computer Science [cs]/Medical Imaging</classCode>
<classCode scheme="halDomain" n="info.info-ti">Computer Science [cs]/Image Processing</classCode>
<classCode scheme="halTypology" n="COMM">Conference papers</classCode>
</textClass>
<abstract xml:lang="en">The restriction of CBCT to micro-coil imaging allows for integrating key a priori knowledge that a coil is a high-density spatially sparse curvilinear structure. In this paper, we investigate acquisition patterns specifically designed for biplane systems allowing a faster workflow and reduced dose. Each pattern is a subsampling of a standard tomographic acquisition reconstructed with an 1-constrained algorithm to promote sparsity together with diffusion filters that promote the curvilinear nature of the coil. Three tensor-based 3D diffusion filters are investigated. Quantitative and qualitative results are provided for one coil and four patients datasets. They show how the reconstruction performs according to the selected acquisition pattern (uniform versus non-uniform subsampling), the quantity of missing information and the selected diffusion filter. We observed a systematically better recovery of the coil in reconstructions obtained using a uniform subsampling pattern but at the cost of being systematically noisier than those obtained with a non-uniform subsampling pattern. Diffusion filtering significantly reduced this structural noise.</abstract>
</profileDesc>
</hal>
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Intra-operative 3D micro-coil imaging using subsampled tomographic acquisition patterns on a biplane C-arm system

Intra-operative 3D micro-coil imaging using subsampled tomographic acquisition patterns on a biplane C-arm system

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