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Biomimetic 3D-printed neurovascular phantoms for macro-and micro-scale Near-infrared Fluorescence Imaging (Conference Presentation)
Author(s): Yi Liu; Pejhman Ghassemi; Hannah Horng; Udayakumar Kanniyappan; Yu Chen; T. Joshua Pfefer

Paper Abstract

Near-infrared fluorescence (NIRF) angiography has been applied for intraoperative visualization of neurovascular circulation and pathologies such as aneurysms, as well as to enhance contrast in clinical imaging of retinal fundus microvasculature. The ability to quantitatively evaluate and compare the performance of NIRF imaging devices including contrast, resolution and linearity under biologically realistic, yet reproducible conditions would facilitate innovation and clinical translation of this technology. Towards development of methods that can fill this role, we have generated 3D-printed, image-defined tissue simulating phantoms at macro and micro scales. The macro-scale phantom was developed based on an MRI image volume of a human head. This map was segmented into white matter, gray matter and vessel regions and edited to provide a suitable file for 3D printing. The phantom was then printed with an Objet260 Connex3 printer using a material with a biologically relevant NIR scattering coefficient. The micro-scale phantom is based on a fundus camera image of a human retina. This phantom was printed using a Nanoscribe Photonic Professional GT printer with sub-micron resolution, but a maximum print volume of approximately 1 mm3. To demonstrate the neurovascular phantoms for NIRF imaging system, channels were injected with a solution of hemoglobin and Indocyanine Green and then imaged with CCD-based macro- and micro- NIRF imaging system. Overall, these approaches for fabricating biomimetic phantoms hold significant promise for evaluation of NIRF angiography devices image quality in a standardized, yet realistic manner.

Paper Details

Date Published: 14 March 2018
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Proc. SPIE 10486, Design and Quality for Biomedical Technologies XI, 1048607 (14 March 2018); doi: 10.1117/12.2290438
Show Author Affiliations
Yi Liu, Univ. of Maryland, College Park (United States)
Pejhman Ghassemi, U.S. Food and Drug Administration (United States)
Hannah Horng, Univ. of Maryland, College Park (United States)
Udayakumar Kanniyappan, U.S. Food and Drug Administration (United States)
Yu Chen, Univ. of Maryland, College Park (United States)
T. Joshua Pfefer, U.S. Food and Drug Administration (United States)


Published in SPIE Proceedings Vol. 10486:
Design and Quality for Biomedical Technologies XI
Ramesh Raghavachari; Rongguang Liang, Editor(s)

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