Direct 3-D printing of complex optical phantoms using dynamic filament mixing.

IF 3.9 2区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES
Rahul Ragunathan, Miguel Mireles, Edward Xu, Aiden Lewis, Morris Vanegas, Qianqian Fang
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引用次数: 0

Abstract

We report a method to directly 3-D print complex heterogeneous optical phantoms with programmable tissue-mimicking absorption and scattering properties. The proposed approach utilizes commercially available multi-color mixing extruders and off-the-shelf polylactic acid filaments, making this technique low-cost and broadly accessible. We systematically characterized optical properties, including both absorption and reduced scattering coefficients, at a wide range of mixing ratios of gray, white, and translucent filaments and validated our hypothesis of a linear-mixing model between the filament mixing ratios and the resulting optical properties. Various techniques were used to design and fabricate sophisticated solid phantoms, including the design of color-purging towers, and the optimization of several printing parameters to improve print quality. To demonstrate the feasibility of this technique for generating anatomically complex phantoms with tunable optical absorption and scattering properties within tissue-relevant ranges, we designed and fabricated three heterogeneous optical phantoms. One of the presented phantoms was specifically designed to support quality assurance efforts in evaluating diffuse optics instruments and methodologies across various institutions. We have characterized the printed phantoms and observed an average error between 12%-15% compared to our linear-mixing model-predicted values. Future studies will target the usage of additional filament materials to expand potential imaging applications.

利用动态灯丝混合直接3d打印复杂光学幻影。
我们报告了一种直接3d打印具有可编程组织模拟吸收和散射特性的复杂异质光学幻影的方法。所提出的方法利用市售的多色混合挤出机和现成的聚乳酸长丝,使该技术成本低,易于使用。我们系统地表征了在广泛的灰色、白色和半透明细丝混合比例下的光学特性,包括吸收和散射系数的降低,并验证了我们的假设,即在细丝混合比例和由此产生的光学特性之间存在线性混合模型。采用各种技术来设计和制造复杂的固体幻影,包括设计洗色塔,以及优化几个印刷参数以提高印刷质量。为了证明这种技术在组织相关范围内产生具有可调光学吸收和散射特性的解剖复杂的幻影的可行性,我们设计并制造了三个异质光学幻影。其中一个展示的幻影是专门设计用于支持各种机构在评估漫射光学仪器和方法方面的质量保证工作。我们对打印的幻影进行了表征,并观察到与我们的线性混合模型预测值相比,平均误差在12%-15%之间。未来的研究将针对其他长丝材料的使用,以扩大潜在的成像应用。
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来源期刊
Scientific Reports
Scientific Reports Natural Science Disciplines-
CiteScore
7.50
自引率
4.30%
发文量
19567
审稿时长
3.9 months
期刊介绍: We publish original research from all areas of the natural sciences, psychology, medicine and engineering. You can learn more about what we publish by browsing our specific scientific subject areas below or explore Scientific Reports by browsing all articles and collections. Scientific Reports has a 2-year impact factor: 4.380 (2021), and is the 6th most-cited journal in the world, with more than 540,000 citations in 2020 (Clarivate Analytics, 2021). •Engineering Engineering covers all aspects of engineering, technology, and applied science. It plays a crucial role in the development of technologies to address some of the world''s biggest challenges, helping to save lives and improve the way we live. •Physical sciences Physical sciences are those academic disciplines that aim to uncover the underlying laws of nature — often written in the language of mathematics. It is a collective term for areas of study including astronomy, chemistry, materials science and physics. •Earth and environmental sciences Earth and environmental sciences cover all aspects of Earth and planetary science and broadly encompass solid Earth processes, surface and atmospheric dynamics, Earth system history, climate and climate change, marine and freshwater systems, and ecology. It also considers the interactions between humans and these systems. •Biological sciences Biological sciences encompass all the divisions of natural sciences examining various aspects of vital processes. The concept includes anatomy, physiology, cell biology, biochemistry and biophysics, and covers all organisms from microorganisms, animals to plants. •Health sciences The health sciences study health, disease and healthcare. This field of study aims to develop knowledge, interventions and technology for use in healthcare to improve the treatment of patients.
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