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Patch-Based Segmentation with Spatial Consistency: Application to MS Lesions in Brain MRI

This paper presents an automatic lesion segmentation method based on similarities between multichannel patches. A patch database is built using training images for which the label maps are known. For each patch in the testing image, k similar patches are retrieved from the database. The matching lab...

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Detalles Bibliográficos
Autores principales: Mechrez, Roey, Goldberger, Jacob, Greenspan, Hayit
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4745344/
https://www.ncbi.nlm.nih.gov/pubmed/26904103
http://dx.doi.org/10.1155/2016/7952541
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author Mechrez, Roey
Goldberger, Jacob
Greenspan, Hayit
author_facet Mechrez, Roey
Goldberger, Jacob
Greenspan, Hayit
author_sort Mechrez, Roey
collection PubMed
description This paper presents an automatic lesion segmentation method based on similarities between multichannel patches. A patch database is built using training images for which the label maps are known. For each patch in the testing image, k similar patches are retrieved from the database. The matching labels for these k patches are then combined to produce an initial segmentation map for the test case. Finally an iterative patch-based label refinement process based on the initial segmentation map is performed to ensure the spatial consistency of the detected lesions. The method was evaluated in experiments on multiple sclerosis (MS) lesion segmentation in magnetic resonance images (MRI) of the brain. An evaluation was done for each image in the MICCAI 2008 MS lesion segmentation challenge. Results are shown to compete with the state of the art in the challenge. We conclude that the proposed algorithm for segmentation of lesions provides a promising new approach for local segmentation and global detection in medical images.
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spelling pubmed-47453442016-02-22 Patch-Based Segmentation with Spatial Consistency: Application to MS Lesions in Brain MRI Mechrez, Roey Goldberger, Jacob Greenspan, Hayit Int J Biomed Imaging Research Article This paper presents an automatic lesion segmentation method based on similarities between multichannel patches. A patch database is built using training images for which the label maps are known. For each patch in the testing image, k similar patches are retrieved from the database. The matching labels for these k patches are then combined to produce an initial segmentation map for the test case. Finally an iterative patch-based label refinement process based on the initial segmentation map is performed to ensure the spatial consistency of the detected lesions. The method was evaluated in experiments on multiple sclerosis (MS) lesion segmentation in magnetic resonance images (MRI) of the brain. An evaluation was done for each image in the MICCAI 2008 MS lesion segmentation challenge. Results are shown to compete with the state of the art in the challenge. We conclude that the proposed algorithm for segmentation of lesions provides a promising new approach for local segmentation and global detection in medical images. Hindawi Publishing Corporation 2016 2016-01-24 /pmc/articles/PMC4745344/ /pubmed/26904103 http://dx.doi.org/10.1155/2016/7952541 Text en Copyright © 2016 Roey Mechrez et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Mechrez, Roey
Goldberger, Jacob
Greenspan, Hayit
Patch-Based Segmentation with Spatial Consistency: Application to MS Lesions in Brain MRI
title Patch-Based Segmentation with Spatial Consistency: Application to MS Lesions in Brain MRI
title_full Patch-Based Segmentation with Spatial Consistency: Application to MS Lesions in Brain MRI
title_fullStr Patch-Based Segmentation with Spatial Consistency: Application to MS Lesions in Brain MRI
title_full_unstemmed Patch-Based Segmentation with Spatial Consistency: Application to MS Lesions in Brain MRI
title_short Patch-Based Segmentation with Spatial Consistency: Application to MS Lesions in Brain MRI
title_sort patch-based segmentation with spatial consistency: application to ms lesions in brain mri
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4745344/
https://www.ncbi.nlm.nih.gov/pubmed/26904103
http://dx.doi.org/10.1155/2016/7952541
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