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|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.|
Bergo, Felipe P.G.
Favretto, Fernanda O.
Yasuda, Clarissa L.
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
Simulated annealing (Matemática)
Processamento de imagens
Diagnóstico por imagem
|Editor:||Taylor & Francis|
|Citation:||Computer Methods In Biomechanics And Biomedical Engineering: Imaging & Visualization . Taylor & Francis Ltd, v. 5, p. 138 - 156, 2017.|
|Appears in Collections:||IC - Artigos e Outros Documentos|
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