Supporting data for "3D Printed Organ Models with Physical Properties of Tissue and Integrated Sensors"
2020-05-22
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2015-10-05
2017-10-05
2017-10-05
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2017-10-05
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Title
Supporting data for "3D Printed Organ Models with Physical Properties of Tissue and Integrated Sensors"
Published Date
2020-05-22
Author Contact
McAlpine, Michael C
mcalpine@umn.edu
mcalpine@umn.edu
Type
Dataset
3D Imaging Data
Experimental Data
3D Imaging Data
Experimental Data
Abstract
The data set includes the experimental data and the corresponding MRI stereolithography (STL) file supporting the results reported in Kaiyan Qiu; Zichen Zhao; Ghazaleh Haghiashtiani; Shuang-Zhuang Guo; Mingyu He; Ruitao Su; Zhijie Zhu; Didarul B. Bhuiyan; Paari Murugan; Fanben Meng; Sung Hyun Park; Chih-Chang Chu; Brenda M. Ogle; Daniel A. Saltzman; Badrinath R. Konety; Robert M. Sweet; Michael C. McAlpine. 3D Printed Organ Models with Physical Properties of Tissue and Integrated Sensors. Adv. Mater. Technol. 2018, 3, 1700235. The design and development of novel methodologies and customized materials to fabricate patient-specific 3D printed organ models with integrated sensing capabilities could yield advances in smart surgical aids for preoperative planning and rehearsal. Here, we demonstrate 3D printed prostate models with physical properties of tissue and integrated soft electronic sensors using custom-formulated polymeric inks. The models show high quantitative fidelity in static and dynamic mechanical properties, optical characteristics, and anatomical geometries to patient tissues and organs. The models offer tissue-like tactile sensation and behavior and thus can be used for the prediction of organ physical behavior under deformation. The prediction results show good agreement with values obtained from simulations. The models also allow the application of surgical and diagnostic tools to their surface and inner channels. Finally, via the conformal integration of 3D printed soft electronic sensors, pressure applied to the models with surgical tools can be quantitatively measured.
Description
Full description in the file "QiuReadme.txt".
Referenced by
Qiu, K.; Zhao, Z.; Haghiashtiani, G.; Guo, S.; He, M.; Su, R.; Zhu, Z.; Bhuiyan, D. B.; Murugan, P.; Meng, F.; et al. 3D Printed Organ Models with Physical Properties of Tissue and Integrated Sensors. Advanced Materials Technologies 2018, 3 (3),
https://doi.org/10.1002/admt.201700235
https://doi.org/10.1002/admt.201700235
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Funding information
National Institutes of Health, Grant 1DP2EB020537
National Institutes of Health, Grant R01HL137204
Army Research Office, Grant W911NF-15-1-0469
Department of Urology, University of Minnesota
Rebecca Q. Morgan Foundation
National Institutes of Health, Grant R01HL137204
Army Research Office, Grant W911NF-15-1-0469
Department of Urology, University of Minnesota
Rebecca Q. Morgan Foundation
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Suggested citation
Qiu, Kaiyan; Zhao, Zichen; Haghiashtiani, Ghazaleh; Guo, Shuang-Zhuang; He, Mingyu; Su, Ruitao; Zhu, Zhijie; Bhuiyan, Didarul B; Murugan, Paari; Meng, Fanben; Park, Sung Hyun; Chu, Chih-Chang; Ogle, Brenda M; Saltzman, Daniel A; Konety, Badrinath R; Sweet, Robert M; McAlpine, Michael C. (2020). Supporting data for "3D Printed Organ Models with Physical Properties of Tissue and Integrated Sensors". Retrieved from the Data Repository for the University of Minnesota (DRUM), https://doi.org/10.13020/rbvt-5s33.
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Figure 2 data.zip
Raw data for Figure 2
(125.58 KB)
Figure 3 data.zip
Raw data for Figure 3
(34.83 KB)
Figure 4 data.zip
Raw data for Figure 4
(68.04 KB)
Figure S2 data.opj
Raw data for Figure S2
(223.07 KB)
Figure S4 data.opj
Raw data for Figure S4
(524.01 KB)
Figure S10 data.zip
Raw data for Figure S10
(25.11 KB)
Prostate Geometry from Patient MRI.stl
Raw data file for patient prostate organ geometry
(28.13 MB)
QiuReadme 05282020.txt
Description of data
(8.54 KB)
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