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Authors: I. Ramírez 1 ; G. Galiano 2 ; N. Malpica 1 and E. Schiavi 1

Affiliations: 1 King Rey Juan Carlos University, Spain ; 2 Oviedo University, Spain

Keyword(s): Saliency Detection, Segmentation, Non-local Diffusion, Non-convex Optimization, Bilateral Filtering, P-laplacian Operator, MRI, FLAIR, Tumor, Edema.

Abstract: Based on previous work on image classification and recent applications of non-local non-linear diffusion equations, we propose a non-local p-laplacian variational model for saliency detection in digital images. Focusing on the range 0 < p < 1 we also consider the regularized non-convex fluxes generated by the related hyper-laplacian diffusion operators. With the aim of exploring the properties and potential applications of such non-local, non-convex operators the model is applied to Magnetic Resonace Imaging (MRI) for Fluid Attenuated Inversion Recovery image (FLAIR) modality showing promising numerical results. In this work Saliency shall be understood as the relevant, outstanding region in a FLAIR image, which is commonly the brightest part. It corresponds to a tumor and neighborhood edema. Our preliminary experiments show that the proposed model can achieve very accurate results in this modality in terms of all the considered metrics.

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Paper citation in several formats:
Ramírez, I.; Galiano, G.; Malpica, N. and Schiavi, E. (2017). A Non-Local Diffusion Saliency Model for Magnetic Resonance Imaging. In Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2017) - BIOIMAGING; ISBN 978-989-758-215-8; ISSN 2184-4305, SciTePress, pages 100-107. DOI: 10.5220/0006172101000107

@conference{bioimaging17,
author={I. Ramírez. and G. Galiano. and N. Malpica. and E. Schiavi.},
title={A Non-Local Diffusion Saliency Model for Magnetic Resonance Imaging},
booktitle={Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2017) - BIOIMAGING},
year={2017},
pages={100-107},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006172101000107},
isbn={978-989-758-215-8},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2017) - BIOIMAGING
TI - A Non-Local Diffusion Saliency Model for Magnetic Resonance Imaging
SN - 978-989-758-215-8
IS - 2184-4305
AU - Ramírez, I.
AU - Galiano, G.
AU - Malpica, N.
AU - Schiavi, E.
PY - 2017
SP - 100
EP - 107
DO - 10.5220/0006172101000107
PB - SciTePress