UltraCortex: Submillimeter Ultra-High Field 9.4T Brain MR Image Collection and Manual Cortical Segmentations

# UltraCortex: Submillimeter Ultra-High Field 9.4 T1 Brain MR Image Collection and Manual Cortical Segmentations ## Overview Welcome to the UltraCortex repository, which hosts a unique collection of ultra-high field (9.4 Tesla) MRI data of the human brain. This dataset includes detailed structural images and high-quality manual segmentations, making it an invaluable resource for researchers in neuroimaging and computational neuroscience. ## Dataset Contents - **Structural MR Images:** 86 T1-weighted images with resolutions of 0.6 to 0.8 mm. - **Manual Segmentations:** Precise segmentations of 12 brains into gray and white matter compartments. - **Validation:** Segmentations independently validated by two expert neuroradiologists. ## Purpose The UltraCortex dataset aims to: - Facilitate the development and validation of new algorithms for analyzing ultra-high field MRI data. - Serve as a benchmark for existing neuroimaging methods. - Provide a rich resource for educational purposes and detailed studies of brain anatomy. ## Data Acquisition - **Scanner:** 9.4 T whole-body MRI scanner (Siemens Healthineers). - **Sequences:** MP-RAGE and MP2RAGE sequences. - **Participants:** 78 healthy adult volunteers (28 females, 50 males; age range: 20-53 years). ## Data Processing - **Formats:** Data is provided in NIfTI format. - **Anonymization:** Images have been anonymized and stripped of all revealing metadata. - **Segmentation:** Manual segmentations were created using ITK-Snap and validated by expert neuroradiologists. ## Usage Notes - **Data License:** The dataset has been marked as dedicated to the public domain. - **Formats:** Data is provided in NIfTI and plain text formats for compatibility with various analysis tools. - **Open-Source Software:** Data processing was performed using open-source software to enhance reproducibility. ## Accessing the Data The dataset is publicly available on the OpenNeuro repository: - **Repository Link:** [OpenNeuro UltraCortex]() ## Citation If you use this dataset, please cite: ```TeX Mahler, L., Steiglechner, J. et al. (2024). UltraCortex: Submillimeter Ultra-High Field 9.4 T1 Brain MR Image Collection and Manual Cortical Segmentations ``` ## Contact For any questions or further information, please contact the corresponding authors: - Lucas Mahler: [[e-mail]](mailto:[e-mail]) - Julius Steiglechner: [[e-mail]](mailto:[e-mail]) Thank you for using the UltraCortex dataset. We hope it facilitates your research and contributes to advancements in neuroimaging.# UltraCortex：亚毫米级超高场9.4T脑部T1磁共振图像集与手动皮层分割标注 ## 概述 欢迎来到UltraCortex仓库，该仓库收录了独一无二的人类脑部超高场（9.4特斯拉）磁共振成像（MRI）数据集。本数据集包含精细的结构成像数据与高质量手动分割标注，是神经影像学与计算神经科学领域研究人员的宝贵资源。 ## 数据集内容 - **结构磁共振图像**：86幅T1加权图像，分辨率介于0.6至0.8毫米之间。 - **手动分割标注**：对12份脑部样本的灰质与白质区域进行了精准分割标注。 - **验证流程**：分割标注结果已由两名专业神经放射学家独立审核确认。 ## 数据集用途 UltraCortex数据集旨在： - 推动用于分析超高场磁共振成像数据的新型算法的开发与验证； - 作为现有神经影像学方法的基准测试集； - 为脑解剖学教学与深入研究提供丰富的资源。 ## 数据采集 - **扫描设备**：9.4特斯拉全身磁共振扫描仪（西门子医疗（Siemens Healthineers）） - **成像序列**：MP-RAGE与MP2RAGE序列 - **研究对象**：78名健康成年志愿者（28名女性，50名男性；年龄范围：20至53岁） ## 数据处理 - **文件格式**：数据以NIfTI格式提供。 - **匿名化处理**：图像已完成匿名化处理，移除了所有可识别的元数据。 - **分割标注制作**：手动分割标注通过ITK-SNAP工具完成，并由专业神经放射学家进行审核验证。 ## 使用须知 - **数据许可**：本数据集已声明归属公共领域。 - **文件格式**：数据同时提供NIfTI与纯文本格式，以兼容各类分析工具。 - **开源软件**：数据处理过程采用开源软件完成，以提升研究的可重复性。 ## 数据获取 本数据集可在OpenNeuro仓库公开获取： - **仓库链接**：[OpenNeuro UltraCortex]() ## 引用规范 若您使用本数据集，请引用以下文献： TeX Mahler, L., Steiglechner, J. et al. (2024). UltraCortex: Submillimeter Ultra-High Field 9.4 T1 Brain MR Image Collection and Manual Cortical Segmentations ## 联系方式 如有任何疑问或进一步信息需求，请联系通讯作者： - Lucas Mahler：[[e-mail]](mailto:[e-mail]) - Julius Steiglechner：[[e-mail]](mailto:[e-mail]) 感谢您使用UltraCortex数据集。我们希望本数据集能够助力您的研究，并推动神经影像学领域的发展进步。

搜集汇总

背景与挑战

背景概述

UltraCortex是一个超高清9.4T脑部MRI数据集，包含86个分辨率为0.6-0.8毫米的T1加权图像，来自78名健康成年参与者，并提供专家手动验证的灰质和白质分割结果。该数据集旨在为神经影像研究和算法开发提供基准资源，数据以NIfTI格式公开可用，遵循CC0许可协议。