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3-D multimodal cardiac data superimposition using 2-D image registration and 3-D reconstruction from multiple views by Christian Daul; Juan Lopez-Hernandez; Didier Wolf; Gilles Karcher; Gérard Ethévenot is a Computer Science article available to read on EtoBox.

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## 3-D data superimposition Multimodal data registration a b s t r a c t Tomoscintigraphy (3-D data representing the myocardium perfusion) and coronarography (X-ray image sequences acquired from several viewpoints and providing information about the coronary artery tree state) are widespread examinations used standardly for the diagnosis of cardiovascular diseases. Currently, the data of both examinations are separately analyzed by the specialists who are often not able to visually link the information of the two modalities. The aim of this work is to facilitate the diagnosis by providing the specialist with 3-D representations highlighting the relationship between stenoses (artery narrowing, disease cause) and perfusion defaults (muscle necrosis, consequence). In such representations, the structure of a schematic artery tree and the stenosis positions are 3-D reconstructed and set onto the perfusion volume. The reconstruction algorithm starts with the projection of the perfusion volume on planes parallel to the X-ray images. In this way, 2-D tomographic images are generated for each viewpoint of the coronarography. The borders of the myocardium shadow visible in the X-ray images a

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Author

Christian Daul; Juan Lopez-Hernandez; Didier Wolf; Gilles Karcher; Gérard Ethévenot

Publisher

Elsevier Science; Elsevier ; Elsevier BV (ISSN 0262-8856)

Published

2009

Language

EN

Field

Computer Science (Physical Sciences)