Fully Automatic 3D/2D Subtracted Angiography Registration
Identifieur interne : 001605 ( Istex/Curation ); précédent : 001604; suivant : 001606Fully Automatic 3D/2D Subtracted Angiography Registration
Auteurs : E. Kerrien [France] ; M. O. Berger [France] ; E. Maurincomme [France] ; L. Launay [France] ; R. Vaillant [France] ; L. Picard [France]Source :
- Lecture Notes in Computer Science [ 0302-9743 ]
Abstract
Abstract: Today, 3-D angiography volumes are routinely generated from rotational angiography sequences. In previous work [7], we have studied the precision reached by registering such volumes with classical 2-D angiography images, inferring this matching only from the sensors of the angiography machine. The error led by such a registration can be described as a 3-D rigid motion composed of a large translation and a small rotation. This paper describes the strategy we followed to correct this error. The angiography image is compared in a two-step process to the Maximum Intensity Projection (MIP) of the angiography volume. The first step provides most of the translation by maximizing the cross-correlation. The second step recovers the residual rigid-body motion, thanks to a modified optical flow technique. A fine analysis of the equations encountered in both steps allows for a speed-up of the calculations. This algorithm was validated on 17 images of a phantom, and 5 patients. The residual error was determined by manually indicating points of interest and was found to be around 1 mm.
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DOI: 10.1007/10704282_72
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Picard</name><affiliation wicri:level="1"><mods:affiliation>Therapeutic and diagnostic neuroradiology department, CHU, Hôpital neurologique, 29, av. du Mal de Lattre de Tassigny, 54035, Nancy, Cedex, France</mods:affiliation><country xml:lang="fr">France</country><wicri:regionArea>Therapeutic and diagnostic neuroradiology department, CHU, Hôpital neurologique, 29, av. du Mal de Lattre de Tassigny, 54035, Nancy, Cedex</wicri:regionArea></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">ISTEX</idno><idno type="RBID">ISTEX:5F8865657E308E47699B0F87A5D7747A73416876</idno><date when="1999" year="1999">1999</date><idno type="doi">10.1007/10704282_72</idno><idno type="url">https://api.istex.fr/ark:/67375/HCB-KFR5R8H9-T/fulltext.pdf</idno><idno type="wicri:Area/Istex/Corpus">001624</idno><idno type="wicri:explorRef" wicri:stream="Istex" wicri:step="Corpus" wicri:corpus="ISTEX">001624</idno><idno type="wicri:Area/Istex/Curation">001605</idno></publicationStmt><sourceDesc><biblStruct><analytic><title level="a" type="main" xml:lang="en">Fully Automatic 3D/2D Subtracted Angiography Registration</title><author><name sortKey="Kerrien, E" sort="Kerrien, E" uniqKey="Kerrien E" first="E." last="Kerrien">E. Kerrien</name><affiliation wicri:level="1"><mods:affiliation>LORIA, BP 239, 54506, Vandoeuvre lès Nancy Cedex, France</mods:affiliation><country xml:lang="fr">France</country><wicri:regionArea>LORIA, BP 239, 54506, Vandoeuvre lès Nancy Cedex</wicri:regionArea></affiliation><affiliation wicri:level="1"><mods:affiliation>General Electric Medical Systems Europe, BP 34, 78533, Buc Cedex, France</mods:affiliation><country xml:lang="fr">France</country><wicri:regionArea>General Electric Medical Systems Europe, BP 34, 78533, Buc Cedex</wicri:regionArea></affiliation></author><author><name sortKey="Berger, M O" sort="Berger, M O" uniqKey="Berger M" first="M. O." last="Berger">M. O. Berger</name><affiliation wicri:level="1"><mods:affiliation>LORIA, BP 239, 54506, Vandoeuvre lès Nancy Cedex, France</mods:affiliation><country xml:lang="fr">France</country><wicri:regionArea>LORIA, BP 239, 54506, Vandoeuvre lès Nancy Cedex</wicri:regionArea></affiliation></author><author><name sortKey="Maurincomme, E" sort="Maurincomme, E" uniqKey="Maurincomme E" first="E." last="Maurincomme">E. Maurincomme</name><affiliation wicri:level="1"><mods:affiliation>General Electric Medical Systems Europe, BP 34, 78533, Buc Cedex, France</mods:affiliation><country xml:lang="fr">France</country><wicri:regionArea>General Electric Medical Systems Europe, BP 34, 78533, Buc Cedex</wicri:regionArea></affiliation></author><author><name sortKey="Launay, L" sort="Launay, L" uniqKey="Launay L" first="L." last="Launay">L. Launay</name><affiliation wicri:level="1"><mods:affiliation>General Electric Medical Systems Europe, BP 34, 78533, Buc Cedex, France</mods:affiliation><country xml:lang="fr">France</country><wicri:regionArea>General Electric Medical Systems Europe, BP 34, 78533, Buc Cedex</wicri:regionArea></affiliation></author><author><name sortKey="Vaillant, R" sort="Vaillant, R" uniqKey="Vaillant R" first="R." last="Vaillant">R. Vaillant</name><affiliation wicri:level="1"><mods:affiliation>General Electric Medical Systems Europe, BP 34, 78533, Buc Cedex, France</mods:affiliation><country xml:lang="fr">France</country><wicri:regionArea>General Electric Medical Systems Europe, BP 34, 78533, Buc Cedex</wicri:regionArea></affiliation></author><author><name sortKey="Picard, L" sort="Picard, L" uniqKey="Picard L" first="L." last="Picard">L. Picard</name><affiliation wicri:level="1"><mods:affiliation>Therapeutic and diagnostic neuroradiology department, CHU, Hôpital neurologique, 29, av. du Mal de Lattre de Tassigny, 54035, Nancy, Cedex, France</mods:affiliation><country xml:lang="fr">France</country><wicri:regionArea>Therapeutic and diagnostic neuroradiology department, CHU, Hôpital neurologique, 29, av. du Mal de Lattre de Tassigny, 54035, Nancy, Cedex</wicri:regionArea></affiliation></author></analytic><monogr></monogr><series><title level="s" type="main" xml:lang="en">Lecture Notes in Computer Science</title><idno type="ISSN">0302-9743</idno><idno type="eISSN">1611-3349</idno><idno type="ISSN">0302-9743</idno></series></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">0302-9743</idno></seriesStmt></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Abstract: Today, 3-D angiography volumes are routinely generated from rotational angiography sequences. In previous work [7], we have studied the precision reached by registering such volumes with classical 2-D angiography images, inferring this matching only from the sensors of the angiography machine. The error led by such a registration can be described as a 3-D rigid motion composed of a large translation and a small rotation. This paper describes the strategy we followed to correct this error. The angiography image is compared in a two-step process to the Maximum Intensity Projection (MIP) of the angiography volume. The first step provides most of the translation by maximizing the cross-correlation. The second step recovers the residual rigid-body motion, thanks to a modified optical flow technique. A fine analysis of the equations encountered in both steps allows for a speed-up of the calculations. This algorithm was validated on 17 images of a phantom, and 5 patients. The residual error was determined by manually indicating points of interest and was found to be around 1 mm.</div></front></TEI></record>Pour manipuler ce document sous Unix (Dilib)
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