3D Rigid Registration of Intraoperative Ultrasound and Preoperative MR Brain Images Based on Hyperechogenic Structures
The registration of intraoperative ultrasound (US) images with preoperative magnetic resonance (MR) images is a challenging problem due to the difference of information contained in each image modality. To overcome this difficulty, we introduce a new probabilistic function based on the matching...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2012-01-01
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| Series: | International Journal of Biomedical Imaging |
| Online Access: | http://dx.doi.org/10.1155/2012/531319 |
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| _version_ | 1832567618620358656 |
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| author | Pierrick Coupé Pierre Hellier Xavier Morandi Christian Barillot |
| author_facet | Pierrick Coupé Pierre Hellier Xavier Morandi Christian Barillot |
| author_sort | Pierrick Coupé |
| collection | DOAJ |
| description | The registration of intraoperative ultrasound (US) images with preoperative magnetic resonance (MR) images is a challenging problem due to the difference of
information contained in each image modality. To overcome this difficulty, we
introduce a new probabilistic function based on the matching of cerebral hyperechogenic structures. In brain imaging, these structures are the liquid interfaces such as the cerebral falx and the sulci, and the lesions when the corresponding tissue is hyperechogenic. The registration procedure is achieved by maximizing the joint probability for a voxel to be included in hyperechogenic structures in both modalities. Experiments were carried out on real datasets acquired during neurosurgical procedures. The proposed validation framework is based on (i) visual assessment, (ii) manual expert estimations , and (iii) a robustness study. Results show that the proposed method (i) is visually efficient, (ii) produces no statistically different registration accuracy compared to manual-based expert registration, and (iii) converges robustly. Finally, the computation time required by our method is compatible with intraoperative use. |
| format | Article |
| id | doaj-art-c7553d7d95a74b3db47e1109a2df7fab |
| institution | Kabale University |
| issn | 1687-4188 1687-4196 |
| language | English |
| publishDate | 2012-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Biomedical Imaging |
| spelling | doaj-art-c7553d7d95a74b3db47e1109a2df7fab2025-02-03T01:01:05ZengWileyInternational Journal of Biomedical Imaging1687-41881687-41962012-01-01201210.1155/2012/5313195313193D Rigid Registration of Intraoperative Ultrasound and Preoperative MR Brain Images Based on Hyperechogenic StructuresPierrick Coupé0Pierre Hellier1Xavier Morandi2Christian Barillot3LaBRI CNRS, UMR 5800, Université Bordeaux, 33405 Talence Cedex, FranceTechnicolor Corporate Research Rennes Laboratory, 1 Avenue de Belle Fontaine, CS 17616, 65576 Cesson-Sévigné Cedex, FranceUniversity of Rennes I, CNRS UMR 6074, IRISA, 35042 Rennes, FranceUniversity of Rennes I, CNRS UMR 6074, IRISA, 35042 Rennes, FranceThe registration of intraoperative ultrasound (US) images with preoperative magnetic resonance (MR) images is a challenging problem due to the difference of information contained in each image modality. To overcome this difficulty, we introduce a new probabilistic function based on the matching of cerebral hyperechogenic structures. In brain imaging, these structures are the liquid interfaces such as the cerebral falx and the sulci, and the lesions when the corresponding tissue is hyperechogenic. The registration procedure is achieved by maximizing the joint probability for a voxel to be included in hyperechogenic structures in both modalities. Experiments were carried out on real datasets acquired during neurosurgical procedures. The proposed validation framework is based on (i) visual assessment, (ii) manual expert estimations , and (iii) a robustness study. Results show that the proposed method (i) is visually efficient, (ii) produces no statistically different registration accuracy compared to manual-based expert registration, and (iii) converges robustly. Finally, the computation time required by our method is compatible with intraoperative use.http://dx.doi.org/10.1155/2012/531319 |
| spellingShingle | Pierrick Coupé Pierre Hellier Xavier Morandi Christian Barillot 3D Rigid Registration of Intraoperative Ultrasound and Preoperative MR Brain Images Based on Hyperechogenic Structures International Journal of Biomedical Imaging |
| title | 3D Rigid Registration of Intraoperative Ultrasound and Preoperative MR Brain Images Based on Hyperechogenic Structures |
| title_full | 3D Rigid Registration of Intraoperative Ultrasound and Preoperative MR Brain Images Based on Hyperechogenic Structures |
| title_fullStr | 3D Rigid Registration of Intraoperative Ultrasound and Preoperative MR Brain Images Based on Hyperechogenic Structures |
| title_full_unstemmed | 3D Rigid Registration of Intraoperative Ultrasound and Preoperative MR Brain Images Based on Hyperechogenic Structures |
| title_short | 3D Rigid Registration of Intraoperative Ultrasound and Preoperative MR Brain Images Based on Hyperechogenic Structures |
| title_sort | 3d rigid registration of intraoperative ultrasound and preoperative mr brain images based on hyperechogenic structures |
| url | http://dx.doi.org/10.1155/2012/531319 |
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