ISO/ASTM TR 52916:2022 医疗增材制造 数据 优化的医疗图像数据

标准编号：ISO/ASTM TR 52916:2022

中文名称：医疗增材制造 数据 优化的医疗图像数据

英文名称：Additive manufacturing for medical — Data — Optimized medical image data

发布日期：2022-01

标准范围

本文件包括医疗添加剂制造（MAM）优化数据的创建。这些数据来自静态模式，如磁共振成像（MRI）、计算机断层扫描（CT）。本文介绍了基于真实人类和动物数据的改进医学图像数据，以及精确实体医学模型的医学图像数据采集处理和优化方法。实体医学模型通常是由医学成像系统输出的二维叠加图像创建的。最终模型的精度取决于原始图像数据的分辨率和精度。影响精确度的主要因素是图像分辨率、图像噪声量、感兴趣的组织和成像系统固有的人工制品之间的对比度。

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.

标准预览图