Anatomic modeling using 3D printing: quality assurance and optimization.
Anatomic modeling using 3D printing: quality assurance and optimization.
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DOI：
10.1186/s41205-017-0014-3
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发表时间：
2017
影响因子：
3.7
通讯作者：
Matsumoto J
中科院分区：
文献类型：
--
作者：
Leng S;McGee K;Morris J;Alexander A;Kuhlmann J;Vrieze T;McCollough CH;Matsumoto J
这项研究的目的是为开发用于医用3D打印应用的质量保证(QA)程序提供一个框架。建立了一个跨学科的QA团队，拥有3D打印各个方面的专业知识。建立了一个系统的质量保证方法来评估3D打印过程中每个步骤的准确性和精密度，包括：图像数据采集、分割和处理、3D打印和清洗。采用定性检验和定量测量相结合的方法对打印模型进行验证。后者是用高分辨率CT扫描仪扫描打印模型，获得打印模型的图像，与原始患者图像配准，并逐点计算它们之间的距离。还开发了一个基于体模的QA过程，具有两个QA体模。这些模型经历了与患者模型相同的3D打印过程，以生成打印的QA模型。执行物理测量、适配测试和基于图像的测量，以将打印的3D模型与其已知大小和形状的原始QA体模进行比较，提供对整个3D打印过程中涉及的错误的端到端评估。对于线对图案，打印模型和原始QA体模之间的测量差异在-0.32 mm到0.13 mm之间。对于尺骨患者模型，原始数据集和扫描的打印模型之间的平均距离为-0.12 mm(范围为-0.57到0.34 mm)，标准偏差为0.17 mm。开发了从图像采集到完成模型的全面质量保证流程。这样的程序对于确保医疗应用所需的3D打印模型的精度是必不可少的。
The purpose of this study is to provide a framework for the development of a quality assurance (QA) program for use in medical 3D printing applications. An interdisciplinary QA team was built with expertise from all aspects of 3D printing. A systematic QA approach was established to assess the accuracy and precision of each step during the 3D printing process, including: image data acquisition, segmentation and processing, and 3D printing and cleaning. Validation of printed models was performed by qualitative inspection and quantitative measurement. The latter was achieved by scanning the printed model with a high resolution CT scanner to obtain images of the printed model, which were registered to the original patient images and the distance between them was calculated on a point-by-point basis. A phantom-based QA process, with two QA phantoms, was also developed. The phantoms went through the same 3D printing process as that of the patient models to generate printed QA models. Physical measurement, fit tests, and image based measurements were performed to compare the printed 3D model to the original QA phantom, with its known size and shape, providing an end-to-end assessment of errors involved in the complete 3D printing process. Measured differences between the printed model and the original QA phantom ranged from -0.32 mm to 0.13 mm for the line pair pattern. For a radial-ulna patient model, the mean distance between the original data set and the scanned printed model was -0.12 mm (ranging from -0.57 to 0.34 mm), with a standard deviation of 0.17 mm. A comprehensive QA process from image acquisition to completed model has been developed. Such a program is essential to ensure the required accuracy of 3D printed models for medical applications.