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用于CT成像的3D打印患者特异性软组织和骨骼模型的设计与制造。

Design and fabrication of 3D-printed patient-specific soft tissue and bone phantoms for CT imaging.

作者信息

Mei Kai, Pasyar Pouyan, Geagan Michael, Liu Leening P, Shapira Nadav, Gang Grace J, Stayman J Webster, Noël Peter B

机构信息

University of Pennsylvania.

Johns Hopkins University.

出版信息

Res Sq. 2023 Apr 26:rs.3.rs-2828218. doi: 10.21203/rs.3.rs-2828218/v1.

DOI:10.21203/rs.3.rs-2828218/v1
PMID:37162901
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10168445/
Abstract

The objective of this study is to create patient-specific phantoms for computed tomography (CT) that have realistic image texture and densities, which are critical in evaluating CT performance in clinical settings. The study builds upon a previously presented 3D printing method (PixelPrint) by incorporating soft tissue and bone structures. We converted patient DICOM images directly into 3D printer instructions using PixelPrint and utilized stone-based filament to increase Hounsfield unit (HU) range. Density was modeled by controlling printing speed according to volumetric filament ratio to emulate attenuation profiles. We designed micro-CT phantoms to demonstrate the reproducibility and to determine mapping between filament ratios and HU values on clinical CT systems. Patient phantoms based on clinical cervical spine and knee examinations were manufactured and scanned with a clinical spectral CT scanner. The CT images of the patient-based phantom closely resembled original CT images in texture and contrast. Measured differences between patient and phantom were less than 15 HU for soft tissue and bone marrow. The stone-based filament accurately represented bony tissue structures across different X-ray energies, as measured by spectral CT. In conclusion, this study demonstrated the possibility of extending 3D-printed patient-based phantoms to soft tissue and bone structures while maintaining accurate organ geometry, image texture, and attenuation profiles.

摘要

本研究的目的是创建用于计算机断层扫描(CT)的患者特异性体模,这些体模具有逼真的图像纹理和密度,这对于在临床环境中评估CT性能至关重要。该研究基于先前提出的一种3D打印方法(PixelPrint),通过纳入软组织和骨骼结构进行构建。我们使用PixelPrint将患者的DICOM图像直接转换为3D打印机指令,并利用基于石膏的细丝来增加亨氏单位(HU)范围。通过根据体积细丝比例控制打印速度来模拟衰减曲线,从而对密度进行建模。我们设计了微型CT体模以证明其可重复性,并确定细丝比例与临床CT系统上HU值之间的映射关系。基于临床颈椎和膝关节检查的患者体模被制造出来,并使用临床光谱CT扫描仪进行扫描。基于患者的体模的CT图像在纹理和对比度方面与原始CT图像非常相似。对于软组织和骨髓,患者与体模之间的测量差异小于15 HU。通过光谱CT测量,基于石膏的细丝在不同X射线能量下准确地呈现了骨组织结构。总之,本研究证明了将3D打印的基于患者的体模扩展到软组织和骨骼结构的可能性,同时保持准确的器官几何形状、图像纹理和衰减曲线。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/492e/10168445/b0c3246d11af/nihpp-rs2828218v1-f0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/492e/10168445/5f40b0121ed3/nihpp-rs2828218v1-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/492e/10168445/88ed34c47c51/nihpp-rs2828218v1-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/492e/10168445/a440edfb92f6/nihpp-rs2828218v1-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/492e/10168445/ead990baed16/nihpp-rs2828218v1-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/492e/10168445/22484ec86c1f/nihpp-rs2828218v1-f0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/492e/10168445/b0c3246d11af/nihpp-rs2828218v1-f0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/492e/10168445/5f40b0121ed3/nihpp-rs2828218v1-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/492e/10168445/88ed34c47c51/nihpp-rs2828218v1-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/492e/10168445/a440edfb92f6/nihpp-rs2828218v1-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/492e/10168445/ead990baed16/nihpp-rs2828218v1-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/492e/10168445/22484ec86c1f/nihpp-rs2828218v1-f0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/492e/10168445/b0c3246d11af/nihpp-rs2828218v1-f0006.jpg

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本文引用的文献

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PixelPrint: A collection of three-dimensional printed CT phantoms of different respiratory diseases.PixelPrint:不同呼吸系统疾病的三维打印CT体模集合。
Proc SPIE Int Soc Opt Eng. 2023 Feb;12463. doi: 10.1117/12.2654343. Epub 2023 Apr 7.
2
PixelPrint: Three-dimensional printing of patient-specific soft tissue and bone phantoms for CT.像素打印:用于CT的患者特异性软组织和骨骼模型的三维打印
Proc SPIE Int Soc Opt Eng. 2022 Jun;12304. doi: 10.1117/12.2647008. Epub 2022 Oct 17.
3
Realistic 3D printed CT imaging tumor phantoms for validation of image processing algorithms.
用于验证图像处理算法的逼真3D打印CT成像肿瘤模型
Phys Med. 2023 Jan;105:102512. doi: 10.1016/j.ejmp.2022.102512. Epub 2022 Dec 28.
4
Translating Imaging Into 3D Printed Cardiovascular Phantoms: A Systematic Review of Applications, Technologies, and Validation.将成像转化为3D打印心血管模型:应用、技术及验证的系统评价
JACC Basic Transl Sci. 2022 Apr 6;7(10):1050-1062. doi: 10.1016/j.jacbts.2022.01.002. eCollection 2022 Oct.
5
A filament 3D printing approach for CT-compatible bone tissues replication.一种用于复制 CT 兼容骨组织的细丝 3D 打印方法。
Phys Med. 2022 Oct;102:96-102. doi: 10.1016/j.ejmp.2022.09.009. Epub 2022 Sep 23.
6
X-ray attenuation of bone, soft and adipose tissue in CT from 70 to 140 kV and comparison with 3D printable additive manufacturing materials.CT 从 70 到 140kV 时骨、软组织和脂肪组织的 X 射线衰减及与 3D 打印增材制造材料的比较。
Sci Rep. 2022 Aug 26;12(1):14580. doi: 10.1038/s41598-022-18741-4.
7
3D printing methods for radiological anthropomorphic phantoms.放射学人体模型的 3D 打印方法。
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First-generation clinical dual-source photon-counting CT: ultra-low-dose quantitative spectral imaging.第一代临床双源光子计数 CT:超低剂量定量光谱成像。
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