UltraCortex: Submillimeter Ultra-High Field 9.4 T Brain MR Image Collection and Manual Cortical Segmentations
Fuente:
arXiv
Guardado en:
| Autores principales: | , , , , , , , , , , , , , , |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
| _version_ | 1866929666872311808 |
|---|---|
| author | Mahler, Lucas Steiglechner, Julius Bender, Benjamin Lindig, Tobias Ramadan, Dana Bause, Jonas Birk, Florian Heule, Rahel Charyasz, Edyta Erb, Michael Kumar, Vinod Jangir Hagberg, Gisela E Martin, Pascal Lohmann, Gabriele Scheffler, Klaus |
| author_facet | Mahler, Lucas Steiglechner, Julius Bender, Benjamin Lindig, Tobias Ramadan, Dana Bause, Jonas Birk, Florian Heule, Rahel Charyasz, Edyta Erb, Michael Kumar, Vinod Jangir Hagberg, Gisela E Martin, Pascal Lohmann, Gabriele Scheffler, Klaus |
| contents | The UltraCortex repository (https://www.ultracortex.org) houses magnetic resonance imaging data of the human brain obtained at an ultra-high field strength of 9.4 T. It contains 86 structural MR images with spatial resolutions ranging from 0.6 to 0.8 mm. Additionally, the repository includes segmentations of 12 brains into gray and white matter compartments. These segmentations have been independently validated by two expert neuroradiologists, thus establishing them as a reliable gold standard. This resource provides researchers with access to high-quality brain imaging data and validated segmentations, facilitating neuroimaging studies and advancing our understanding of brain structure and function. Existing repositories do not accommodate field strengths beyond 7 T, nor do they offer validated segmentations, underscoring the significance of this new resource. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2406_18571 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | UltraCortex: Submillimeter Ultra-High Field 9.4 T Brain MR Image Collection and Manual Cortical Segmentations Mahler, Lucas Steiglechner, Julius Bender, Benjamin Lindig, Tobias Ramadan, Dana Bause, Jonas Birk, Florian Heule, Rahel Charyasz, Edyta Erb, Michael Kumar, Vinod Jangir Hagberg, Gisela E Martin, Pascal Lohmann, Gabriele Scheffler, Klaus Computer Vision and Pattern Recognition The UltraCortex repository (https://www.ultracortex.org) houses magnetic resonance imaging data of the human brain obtained at an ultra-high field strength of 9.4 T. It contains 86 structural MR images with spatial resolutions ranging from 0.6 to 0.8 mm. Additionally, the repository includes segmentations of 12 brains into gray and white matter compartments. These segmentations have been independently validated by two expert neuroradiologists, thus establishing them as a reliable gold standard. This resource provides researchers with access to high-quality brain imaging data and validated segmentations, facilitating neuroimaging studies and advancing our understanding of brain structure and function. Existing repositories do not accommodate field strengths beyond 7 T, nor do they offer validated segmentations, underscoring the significance of this new resource. |
| title | UltraCortex: Submillimeter Ultra-High Field 9.4 T Brain MR Image Collection and Manual Cortical Segmentations |
| topic | Computer Vision and Pattern Recognition |
| url | https://arxiv.org/abs/2406.18571 |