TOWARDS 3D REGISTRATION OF FETAL BRAIN MRI AND ULTRASOUND
We propose a novel method for automatic alignment of fetal brain magnetic resonance image volumes and 3D ultrasound images. Volumetric fetal brain MRI is obtained from reconstructing 2D slices, and is then segmented using a preterm neonatal probabilistic atlas. The segmentation is further refined to...
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| Fformat: | Journal article |
| Iaith: | English |
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2012
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| _version_ | 1826287011264200704 |
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| author | Kuklisova-Murgasova, M Quaghebeur, G Hajnal, J Noble, J Schnabel, J IEEE |
| author_facet | Kuklisova-Murgasova, M Quaghebeur, G Hajnal, J Noble, J Schnabel, J IEEE |
| author_sort | Kuklisova-Murgasova, M |
| collection | OXFORD |
| description | We propose a novel method for automatic alignment of fetal brain magnetic resonance image volumes and 3D ultrasound images. Volumetric fetal brain MRI is obtained from reconstructing 2D slices, and is then segmented using a preterm neonatal probabilistic atlas. The segmentation is further refined to extract features that are prominent in fetal brain ultrasound. From the MR segmentation, a pseudo-ultrasound image is simulated, taking into account the direction of the beam in the real ultrasound volume. The simulated and real ultrasound images are then affinely aligned using normalized cross-correlation. We show that the proposed approach performs better than the standard approach for multi-modal registration of the MR and ultrasound volumes driven by normalized mutual information. © 2012 IEEE. |
| first_indexed | 2024-03-07T01:52:13Z |
| format | Journal article |
| id | oxford-uuid:9a8006ee-8635-4764-a61d-04b249c29ee1 |
| institution | University of Oxford |
| language | English |
| last_indexed | 2024-03-07T01:52:13Z |
| publishDate | 2012 |
| record_format | dspace |
| spelling | oxford-uuid:9a8006ee-8635-4764-a61d-04b249c29ee12022-03-27T00:21:49ZTOWARDS 3D REGISTRATION OF FETAL BRAIN MRI AND ULTRASOUNDJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:9a8006ee-8635-4764-a61d-04b249c29ee1EnglishSymplectic Elements at Oxford2012Kuklisova-Murgasova, MQuaghebeur, GHajnal, JNoble, JSchnabel, JIEEEWe propose a novel method for automatic alignment of fetal brain magnetic resonance image volumes and 3D ultrasound images. Volumetric fetal brain MRI is obtained from reconstructing 2D slices, and is then segmented using a preterm neonatal probabilistic atlas. The segmentation is further refined to extract features that are prominent in fetal brain ultrasound. From the MR segmentation, a pseudo-ultrasound image is simulated, taking into account the direction of the beam in the real ultrasound volume. The simulated and real ultrasound images are then affinely aligned using normalized cross-correlation. We show that the proposed approach performs better than the standard approach for multi-modal registration of the MR and ultrasound volumes driven by normalized mutual information. © 2012 IEEE. |
| spellingShingle | Kuklisova-Murgasova, M Quaghebeur, G Hajnal, J Noble, J Schnabel, J IEEE TOWARDS 3D REGISTRATION OF FETAL BRAIN MRI AND ULTRASOUND |
| title | TOWARDS 3D REGISTRATION OF FETAL BRAIN MRI AND ULTRASOUND |
| title_full | TOWARDS 3D REGISTRATION OF FETAL BRAIN MRI AND ULTRASOUND |
| title_fullStr | TOWARDS 3D REGISTRATION OF FETAL BRAIN MRI AND ULTRASOUND |
| title_full_unstemmed | TOWARDS 3D REGISTRATION OF FETAL BRAIN MRI AND ULTRASOUND |
| title_short | TOWARDS 3D REGISTRATION OF FETAL BRAIN MRI AND ULTRASOUND |
| title_sort | towards 3d registration of fetal brain mri and ultrasound |
| work_keys_str_mv | AT kuklisovamurgasovam towards3dregistrationoffetalbrainmriandultrasound AT quaghebeurg towards3dregistrationoffetalbrainmriandultrasound AT hajnalj towards3dregistrationoffetalbrainmriandultrasound AT noblej towards3dregistrationoffetalbrainmriandultrasound AT schnabelj towards3dregistrationoffetalbrainmriandultrasound AT ieee towards3dregistrationoffetalbrainmriandultrasound |