Tomographic reconstruction of vascular network from a few projections
An investigation is conducted of a tomographic approach to vascular network 3-D reconstruction from incomplete and noisy digital angiography views. The method reconstructs directly the 3-D volume from conic measure projections, using an analytic inversion formula and then, by estimation of vessels s...
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creator | Hamon, C. Roux, C. Coatrieux, J.L. Collorec, R. |
description | An investigation is conducted of a tomographic approach to vascular network 3-D reconstruction from incomplete and noisy digital angiography views. The method reconstructs directly the 3-D volume from conic measure projections, using an analytic inversion formula and then, by estimation of vessels supports, eliminates the backprojection artifacts. Reconstruction from thirteen simulated projections demonstrates that even small vessels of three-pixels width can be reconstructed.< > |
doi_str_mv | 10.1109/IEMBS.1988.94582 |
format | Conference Proceeding |
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The method reconstructs directly the 3-D volume from conic measure projections, using an analytic inversion formula and then, by estimation of vessels supports, eliminates the backprojection artifacts. Reconstruction from thirteen simulated projections demonstrates that even small vessels of three-pixels width can be reconstructed.< ></description><identifier>ISBN: 0780307852</identifier><identifier>ISBN: 9780780307858</identifier><identifier>DOI: 10.1109/IEMBS.1988.94582</identifier><language>eng</language><publisher>IEEE</publisher><subject>Angiography ; Back ; Binary trees ; Complex networks ; Delay ; Density functional theory ; Filtering ; Image intensifiers ; Image reconstruction ; Tomography</subject><ispartof>Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 1988, p.410-411 vol.1</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/94582$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2058,4050,4051,27925,54920</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/94582$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Hamon, C.</creatorcontrib><creatorcontrib>Roux, C.</creatorcontrib><creatorcontrib>Coatrieux, J.L.</creatorcontrib><creatorcontrib>Collorec, R.</creatorcontrib><title>Tomographic reconstruction of vascular network from a few projections</title><title>Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society</title><addtitle>IEMBS</addtitle><description>An investigation is conducted of a tomographic approach to vascular network 3-D reconstruction from incomplete and noisy digital angiography views. The method reconstructs directly the 3-D volume from conic measure projections, using an analytic inversion formula and then, by estimation of vessels supports, eliminates the backprojection artifacts. Reconstruction from thirteen simulated projections demonstrates that even small vessels of three-pixels width can be reconstructed.< ></description><subject>Angiography</subject><subject>Back</subject><subject>Binary trees</subject><subject>Complex networks</subject><subject>Delay</subject><subject>Density functional theory</subject><subject>Filtering</subject><subject>Image intensifiers</subject><subject>Image reconstruction</subject><subject>Tomography</subject><isbn>0780307852</isbn><isbn>9780780307858</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>1988</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotT8FOwzAUi4SQgLE73PIDLUnaNMkRpsImDe2wcZ7ekhfoWJsq6Zj4e8rAB_tgy7IJueMs55yZh0X9-rTOudE6N6XU4oLcMKVZMZIUV2Sa0p6NkKOlqmtSb0Ib3iP0H42lEW3o0hCPdmhCR4OnX5Ds8QCRdjicQvykPoaWAvV4on0Mezwn0y259HBIOP3XCXl7rjezebZcvSxmj8us4YoPWcE1OM-U96JyHr3hKC1YMGJnXQnCMaMUSsONLc042QHsqpKB4vo3J4oJuf_rbRBx28emhfi9Pf8sfgDT6krP</recordid><startdate>1988</startdate><enddate>1988</enddate><creator>Hamon, C.</creator><creator>Roux, C.</creator><creator>Coatrieux, J.L.</creator><creator>Collorec, R.</creator><general>IEEE</general><scope>6IE</scope><scope>6IH</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIO</scope></search><sort><creationdate>1988</creationdate><title>Tomographic reconstruction of vascular network from a few projections</title><author>Hamon, C. ; Roux, C. ; Coatrieux, J.L. ; Collorec, R.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i171t-318adf07ff26dfef91e5caca92bcd4a2d0977e5919c49030daab640a7185cac23</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>1988</creationdate><topic>Angiography</topic><topic>Back</topic><topic>Binary trees</topic><topic>Complex networks</topic><topic>Delay</topic><topic>Density functional theory</topic><topic>Filtering</topic><topic>Image intensifiers</topic><topic>Image reconstruction</topic><topic>Tomography</topic><toplevel>online_resources</toplevel><creatorcontrib>Hamon, C.</creatorcontrib><creatorcontrib>Roux, C.</creatorcontrib><creatorcontrib>Coatrieux, J.L.</creatorcontrib><creatorcontrib>Collorec, R.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan (POP) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP) 1998-present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Hamon, C.</au><au>Roux, C.</au><au>Coatrieux, J.L.</au><au>Collorec, R.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Tomographic reconstruction of vascular network from a few projections</atitle><btitle>Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society</btitle><stitle>IEMBS</stitle><date>1988</date><risdate>1988</risdate><spage>410</spage><epage>411 vol.1</epage><pages>410-411 vol.1</pages><isbn>0780307852</isbn><isbn>9780780307858</isbn><abstract>An investigation is conducted of a tomographic approach to vascular network 3-D reconstruction from incomplete and noisy digital angiography views. The method reconstructs directly the 3-D volume from conic measure projections, using an analytic inversion formula and then, by estimation of vessels supports, eliminates the backprojection artifacts. Reconstruction from thirteen simulated projections demonstrates that even small vessels of three-pixels width can be reconstructed.< ></abstract><pub>IEEE</pub><doi>10.1109/IEMBS.1988.94582</doi></addata></record> |
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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Angiography Back Binary trees Complex networks Delay Density functional theory Filtering Image intensifiers Image reconstruction Tomography |
title | Tomographic reconstruction of vascular network from a few projections |
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