Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/328884
Type: Artigo
Title: Medical Image Registration Based On Watershed Transform From Greyscale Marker And Multi-scale Parameter Search
Medical image registration based on watershed transform from greyscale marker and multi-scale parameter search
Author: Ruppert, Guilherme C.S.
Chiachia, Giovani
Bergo, Felipe P.G.
Favretto, Fernanda O.
Yasuda, Clarissa L.
Rocha, Anderson
Falcão, Alexandre X.
Abstract: We propose an automatic 3D medical image registration method that combines the watershed transform from greyscale marker, to effectively reduce the number of key points needed for registration, with a robust optimisation algorithm, called multi-scale parameter search (MSPS), to quickly estimate the mapping function. We evaluate it for rigid and intra-subject registration of pre- and post-surgery MR-T1 images of the brain. The visual analysis of its effectiveness is facilitated by a colour-coding scheme. Extensive experiments show that our approach is very accurate, robust to noise and provides 3D registration in less than 40 s, with no multi-resolution image schemes needed. We also evaluate MSPS on a testbed of 12 optimisation benchmark problems, in comparison with well-known optimisers, such as particle swarm optimiser, simulated annealing and differential evolution, showing that it can also be explored in other applications.
We propose an automatic 3D medical image registration method that combines the watershed transform from greyscale marker, to effectively reduce the number of key points needed for registration, with a robust optimisation algorithm, called multi-scale para
Subject: Imagem tridimensional
Otimização
Simulated annealing (Matemática)
Processamento de imagens
Diagnóstico por imagem
Country: Reino Unido
Editor: Taylor & Francis
Citation: Computer Methods In Biomechanics And Biomedical Engineering: Imaging & Visualization . Taylor & Francis Ltd, v. 5, p. 138 - 156, 2017.
Rights: fechado
Fechado
Identifier DOI: 10.1080/21681163.2015.1029643
Address: https://www.tandfonline.com/doi/abs/10.1080/21681163.2015.1029643
Date Issue: 2017
Appears in Collections:IC - Artigos e Outros Documentos

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