Ripley Beth, Levin Dmitry, Kelil Tatiana, Hermsen Joshua L, Kim Sooah, Maki Jeffrey H, Wilson Gregory J
Department of Radiology, University of Washington, Seattle, Washington, USA.
Department of Radiology, VA Puget Sound Health Care System, Seattle WA 98108.
J Magn Reson Imaging. 2017 Mar;45(3):635-645. doi: 10.1002/jmri.25526. Epub 2016 Nov 22.
3D printing facilitates the creation of accurate physical models of patient-specific anatomy from medical imaging datasets. While the majority of models to date are created from computed tomography (CT) data, there is increasing interest in creating models from other datasets, such as ultrasound and magnetic resonance imaging (MRI). MRI, in particular, holds great potential for 3D printing, given its excellent tissue characterization and lack of ionizing radiation. There are, however, challenges to 3D printing from MRI data as well. Here we review the basics of 3D printing, explore the current strengths and weaknesses of printing from MRI data as they pertain to model accuracy, and discuss considerations in the design of MRI sequences for 3D printing. Finally, we explore the future of 3D printing and MRI, including creative applications and new materials.
5 J. Magn. Reson. Imaging 2017;45:635-645.
3D打印有助于根据医学成像数据集创建患者特定解剖结构的精确物理模型。虽然迄今为止大多数模型是由计算机断层扫描（CT）数据创建的，但人们对从其他数据集（如超声和磁共振成像（MRI））创建模型的兴趣与日俱增。特别是MRI，鉴于其出色的组织特征和无电离辐射，在3D打印方面具有巨大潜力。然而，从MRI数据进行3D打印也存在挑战。在此，我们回顾3D打印的基础知识，探讨从MRI数据打印在模型准确性方面的当前优势和劣势，并讨论用于3D打印的MRI序列设计中的注意事项。最后，我们探索3D打印和MRI的未来，包括创新应用和新材料。
5 J. Magn. Reson. Imaging 2017;45:635 - 645。
