Seven Tesla MRI of the pelvis of 11 volunteers

MRI dataset of the pelvis of 11 young volunteers. Each volunteer set contains two anonymized dicom 3D image series: 1. Anatomical overview of the pelvic area with a 3D dataset of 256 images, 'lipid excitation' 2. Multi gradiënt echo dataset of 5 gradiënt echoes, 3D datset of 256 images per echo (1280 images), 'water excitation'. See the following PlosOne publication for details on acquisition parameters: <strong>Magnetic resonance imaging at ultra-high magnetic field strength: an in vivo assessment of number, size and distribution of pelvic lymph nodes</strong> Ansje S. Fortuin, Bart W.J. Philips, Marloes M.G. van der Leest, Mark E. Ladd, Stephan Orzada, Marnix C. Maas, Tom W.J. Scheenen本数据集包含11名年轻志愿者的骨盆磁共振成像（Magnetic Resonance Imaging, MRI）数据。每位志愿者的数据集均包含两组已完成匿名化处理的DICOM（Digital Imaging and Communications in Medicine）格式三维图像序列：1. 骨盆区域解剖全景序列，采用脂质激发（lipid excitation）技术，包含256张三维图像；2. 多梯度回波序列，包含5组梯度回波，每个回波对应256张三维图像（总计1280张图像），采用水激发（water excitation）技术。相关采集参数的详细信息可参阅以下发表于PLOS ONE的学术论文：《超高场强磁共振成像：体内评估盆腔淋巴结的数量、大小与分布》，作者为Ansje S. Fortuin、Bart W.J. Philips、Marloes M.G. van der Leest、Mark E. Ladd、Stephan Orzada、Marnix C. Maas、Tom W.J. Scheenen。