本标准包括医疗添加剂制造（MAM）优化数据的创建 由静态模式（如磁共振图像（MRI）、计算机断层扫描（CT）、正电子发射断层扫描（PET）、SPECT和动态模式（如超声波和光学图像）生成 数据它解决了医疗特定的数据质量要求和医疗图像数据采集 基于真实人体的精确实体医学模型和设备的处理方法 信息该数据也可用于动物手术（兽医手术）。

This document includes the creation of optimized data for medical additive manufacturing (MAM). These data are generated from static modalities, such as magnetic resonance imaging (MRI), computed tomography (CT). This document addresses improved medical image data, and medical image data acquisition processing and optimization approaches for accurate solid medical models, based on real human and animal data. Solid medical models are generally created from stacked 2D images output from medical imaging systems. The accuracy of the final model depends on the resolution and accuracy of the original image data. The main factors influencing accuracy are the resolution of the image, the amount of image noise, the contrast between the tissues of interest and artefacts inherent in the imaging system.