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Fully automatic 3D/2D subtracted angiography registration

Identifieur interne : 00A658 ( Main/Curation ); précédent : 00A657; suivant : 00A659

Fully automatic 3D/2D subtracted angiography registration

Auteurs : Erwan Kerrien ; Marie-Odile Berger ; Eric Maurincomme ; Laurent Launay ; Regis Vaillant ; Luc Picard

Source :

RBID : CRIN:kerrien99a

English descriptors

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.

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CRIN:kerrien99a

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<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>
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