A novel implementation of ICP algorithm applied to the multimodal registration of the left ventricle of the heart
| Autor: | Ahmad ALMHDIE IMJABBAR, Léger, Christophe, Deriche, Mohamed, Lédée, Roger |
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| Přispěvatelé: | Laboratoire Pluridisciplinaire de Recherche en Ingénierie des Systèmes, Mécanique et Energétique (PRISME), Université d'Orléans (UO)-Ecole Nationale Supérieure d'Ingénieurs de Bourges (ENSI Bourges), Electrical Engineering Department, King Fahd University of Petroleum and Minerals (KFUPM), Léger, Christophe |
| Jazyk: | angličtina |
| Rok vydání: | 2007 |
| Předmět: |
[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing
[INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing [SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing |
| Zdroj: | European Signal Processing Conference Eusipco 2007 Eusipco 2007, Sep 2007, Poznan, Poland BASE-Bielefeld Academic Search Engine |
| Popis: | International audience; Image registration is a valuable technique for medical diagnosis and treatment. In this paper, we present an enhanced implementation of the popular iterative closest point (ICP) algorithm developed for the registration of 3D free-form closed surfaces. The main step of the ICP consists of finding the closest points between data sets which are then used to estimate the parameters of the global rigid transformation. We propose a new technique based on the use of a look up matrix for finding the best correspondence pairs. The algorithm, called Comprehensive ICP (CICP) algorithm, is then successfully applied for the registration of 3D data of the left ventricle of the heart, acquired using two different medical imaging modalities. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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