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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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Wiley
2016-01-01
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| Series: | International Journal of Biomedical Imaging |
| Online Access: | http://dx.doi.org/10.1155/2016/7952541 |
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| _version_ | 1850168948082868224 |
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| author | Roey Mechrez Jacob Goldberger Hayit Greenspan |
| author_facet | Roey Mechrez Jacob Goldberger Hayit Greenspan |
| author_sort | Roey Mechrez |
| collection | DOAJ |
| 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. |
| format | Article |
| id | doaj-art-9f8863e55c4441cda5a9eca5656126ef |
| institution | OA Journals |
| issn | 1687-4188 1687-4196 |
| language | English |
| publishDate | 2016-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Biomedical Imaging |
| spelling | doaj-art-9f8863e55c4441cda5a9eca5656126ef2025-08-20T02:20:51ZengWileyInternational Journal of Biomedical Imaging1687-41881687-41962016-01-01201610.1155/2016/79525417952541Patch-Based Segmentation with Spatial Consistency: Application to MS Lesions in Brain MRIRoey Mechrez0Jacob Goldberger1Hayit Greenspan2Biomedical Engineering Department, Tel-Aviv University, 69978 Tel Aviv, IsraelEngineering Faculty, Bar-Ilan University, 52900 Ramat Gan, IsraelBiomedical Engineering Department, Tel-Aviv University, 69978 Tel Aviv, IsraelThis 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.http://dx.doi.org/10.1155/2016/7952541 |
| spellingShingle | Roey Mechrez Jacob Goldberger Hayit Greenspan Patch-Based Segmentation with Spatial Consistency: Application to MS Lesions in Brain MRI International Journal of Biomedical Imaging |
| 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 |
| url | http://dx.doi.org/10.1155/2016/7952541 |
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