Fully automatic 3D/2D subtracted angiography registration
Identifieur interne : 001F03 ( Crin/Checkpoint ); précédent : 001F02; suivant : 001F04Fully automatic 3D/2D subtracted angiography registration
Auteurs : Erwan Kerrien ; Marie-Odile Berger ; Eric Maurincomme ; Laurent Launay ; Regis Vaillant ; Luc PicardSource :
English descriptors
- KwdEn :
Abstract
Today, 3-D angiography volumes are routinely generated from rotational angiography sequences. In previous work \cite{Kerrien98}, 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.
Links toward previous steps (curation, corpus...)
Links to Exploration step
CRIN:kerrien99aLe document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en" wicri:score="329">Fully automatic 3D/2D subtracted angiography registration</title></titleStmt><publicationStmt><idno type="RBID">CRIN:kerrien99a</idno><date when="1999" year="1999">1999</date><idno type="wicri:Area/Crin/Corpus">002667</idno><idno type="wicri:Area/Crin/Curation">002667</idno><idno type="wicri:explorRef" wicri:stream="Crin" wicri:step="Curation">002667</idno><idno type="wicri:Area/Crin/Checkpoint">001F03</idno><idno type="wicri:explorRef" wicri:stream="Crin" wicri:step="Checkpoint">001F03</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Fully automatic 3D/2D subtracted angiography registration</title><author><name sortKey="Kerrien, Erwan" sort="Kerrien, Erwan" uniqKey="Kerrien E" first="Erwan" last="Kerrien">Erwan Kerrien</name></author><author><name sortKey="Berger, Marie Odile" sort="Berger, Marie Odile" uniqKey="Berger M" first="Marie-Odile" last="Berger">Marie-Odile Berger</name></author><author><name sortKey="Maurincomme, Eric" sort="Maurincomme, Eric" uniqKey="Maurincomme E" first="Eric" last="Maurincomme">Eric Maurincomme</name></author><author><name sortKey="Launay, Laurent" sort="Launay, Laurent" uniqKey="Launay L" first="Laurent" last="Launay">Laurent Launay</name></author><author><name sortKey="Vaillant, Regis" sort="Vaillant, Regis" uniqKey="Vaillant R" first="Regis" last="Vaillant">Regis Vaillant</name></author><author><name sortKey="Picard, Luc" sort="Picard, Luc" uniqKey="Picard L" first="Luc" last="Picard">Luc Picard</name></author></analytic></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>angiography</term><term>registration</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en" wicri:score="3814">Today, 3-D angiography volumes are routinely generated from rotational angiography sequences. In previous work \cite{Kerrien98}, 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><BibTex type="inproceedings"><ref>kerrien99a</ref><crinnumber>99-R-171</crinnumber><category>3</category><equipe>ISA</equipe><author><e>Kerrien, Erwan</e><e>Berger, Marie-Odile</e><e>Maurincomme, Eric</e><e>Launay, Laurent</e><e>Vaillant, Regis</e><e>Picard , Luc</e></author><title>Fully automatic 3D/2D subtracted angiography registration</title><booktitle>{International Conference for Medical Image Computing and Computer Assisted Intervention - MICCAI'99, Cambridge, England}</booktitle><year>1999</year><editor>Chris Taylor, Alan Colchester</editor><volume>1679</volume><series>Lecture Notes in Computer Science</series><pages>664--671</pages><month>Sep</month><publisher>Springer-Verlag</publisher><keywords><e>angiography</e><e>registration</e></keywords><abstract>Today, 3-D angiography volumes are routinely generated from rotational angiography sequences. In previous work \cite{Kerrien98}, 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.</abstract></BibTex></record>Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Wicri/Lorraine/explor/InforLorV4/Data/Crin/Checkpoint
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 001F03 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/Crin/Checkpoint/biblio.hfd -nk 001F03 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien
|wiki= Wicri/Lorraine
|area= InforLorV4
|flux= Crin
|étape= Checkpoint
|type= RBID
|clé= CRIN:kerrien99a
|texte= Fully automatic 3D/2D subtracted angiography registration
}}
| This area was generated with Dilib version V0.6.33. |  |