Journal
SIAM JOURNAL ON IMAGING SCIENCES
Volume 12, Issue 3, Pages 1324-1346Publisher
SIAM PUBLICATIONS
DOI: 10.1137/18M123462X
Keywords
lattice Boltzmann method; multiple relaxation time; Bhatnagar-Gross-Krook; phase-field method; nonparametric estimation; multigrid; 3D ultrasound images; tumor segmentation
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Funding
- French Region Nouvelle Aquitaine
- BPI-France
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We address the problem of tumor segmentation in 3D ultrasound images. Although many studies have examined this subject, there is still a need to improve segmentation algorithms so as to obtain the best estimation of tumor volumes. In this paper we propose a new approach based on a variational formulation and a multigrid implementation of a multiple relaxation time lattice Boltzmann scheme. The data attachment term, resp., the regularization term, of the energy to be minimized is given by a log-likelihood, resp., the Allen-Cahn reaction diffusion equation. We investigate the stability and accuracy of the proposed scheme with D3Q7 and D3Q19 lattices. Specifically, we show how to choose the relaxation parameters to obtain a fourth-order exact scheme which is shown to be much more relevant than a single relaxation time Bhatnagar-Gross-Krook scheme. Experiments conducted on images with ground truth given by a dermatologist show that the proposed algorithm significantly increases the Dice index (by 10%) and the sensitivity (by 25%) compared with a level set algorithm and is consequently a good alternative to investigate the problem of volume underestimation.
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