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用于辅助构建3D打印体模的三维(3D)打印材料储存库的计算机断层扫描衰减

Computed Tomography Attenuation of Three-Dimensional (3D) Printing Materials-Depository to Aid in Constructing 3D-Printed Phantoms.

作者信息

Kalidindi Yuktesh, Ganapathy Aravinda Krishna, Nayak Yash, Elumalai Anusha, Chen David Z, Bishop Grace, Sanchez Adrian, Albers Brian, Shetty Anup S, Ballard David H

机构信息

School of Medicine, Saint Louis University, St. Louis, MO 63104, USA.

School of Medicine, Washington University in St. Louis, St. Louis, MO 63110, USA.

出版信息

Micromachines (Basel). 2023 Oct 14;14(10):1928. doi: 10.3390/mi14101928.

Abstract

Three-dimensionally printed phantoms are increasingly used in medical imaging and research due to their cost-effectiveness and customizability, offering valuable alternatives to commercial phantoms. The purpose of this study was to assess the computed tomography (CT) attenuation characteristics of 27 resin materials from Formlabs, a 3D printing equipment and materials manufacturer. Cube phantoms (both solid and hollow constructions) produced with each resin were subjected to CT scanning under varying tube current-time products with attenuation measurements recorded in Hounsfield units (HU). The resins exhibited a wide range of attenuation values (-3.33 to 2666.27 HU), closely mimicking a range of human tissues, from fluids to dense bone structures. The resins also demonstrated consistent attenuation regardless of changes in the tube current. The CT attenuation analysis of FormLabs resins produced an archive of radiological imaging characteristics of photopolymers that can be utilized to construct more accurate tissue mimicking medical phantoms and improve the evaluation of imaging device performance.

摘要

由于具有成本效益和可定制性,三维打印体模在医学成像和研究中越来越多地被使用,为商业体模提供了有价值的替代品。本研究的目的是评估来自3D打印设备和材料制造商Formlabs的27种树脂材料的计算机断层扫描(CT)衰减特性。用每种树脂制作的立方体体模(包括实心和空心结构)在不同的管电流-时间乘积下进行CT扫描,并以亨氏单位(HU)记录衰减测量值。这些树脂表现出广泛的衰减值(-3.33至2666.27 HU),紧密模拟了从液体到致密骨结构的一系列人体组织。无论管电流如何变化,这些树脂的衰减也表现出一致性。对FormLabs树脂的CT衰减分析产生了一个光聚合物放射成像特征档案,可用于构建更精确的组织模拟医学体模,并改善成像设备性能的评估。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a19/10609050/3b34efa7d8d3/micromachines-14-01928-g001.jpg

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