Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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Materials Map under construction

The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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1.080 Topics available

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Naji, M.
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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (5/5 displayed)

  • 2024Biophotonic composite scaffolds for controlled nitric oxide release upon NIR excitationcitations
  • 2022Translating Imaging Into 3D Printed Cardiovascular Phantoms: A Systematic Review of Applications, Technologies, and Validation.28citations
  • 2022The usability of the Judd-Ofelt theory for luminescent thermometry using Eu3+-doped phosphate glass12citations
  • 2021A FULLY AUTOMATED AND FAST APPROACH FOR CANOPY COVER ESTIMATION USING SUPER HIGH-RESOLUTION REMOTE SENSING IMAGERY9citations
  • 2020Characterization of rectangular copper wire forming properties and derivation of control concepts for the kinematic bending of hairpin coilscitations

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Chart of shared publication
Lastusaari, M.
1 / 22 shared
Draganski, A.
1 / 1 shared
Anker, J. N.
1 / 1 shared
Petit, L.
2 / 29 shared
Bondzior, B.
2 / 5 shared
Massera, J.
1 / 27 shared
Magalhaes, E. Santos
1 / 1 shared
Ghanavati, S.
1 / 2 shared
Haeberlin, A.
1 / 2 shared
Bernhard, Benedikt
1 / 1 shared
Illi, J.
1 / 1 shared
Gloeckler, M.
1 / 1 shared
Windecker, S.
1 / 1 shared
Pilgrim, T.
1 / 1 shared
Praz, F.
1 / 1 shared
Gräni, Christoph
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J., Deren P.
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Pugliese, D.
1 / 22 shared
H., Quan Vu T.
1 / 1 shared
Mockler, T. C.
1 / 1 shared
Bhadra, S.
1 / 3 shared
Maimaitijiang, M.
1 / 1 shared
Sagan, V.
1 / 1 shared
Fleischer, J.
1 / 6 shared
Hofmann, J.
1 / 7 shared
Wirth, F.
1 / 2 shared
Chart of publication period
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Co-Authors (by relevance)

  • Lastusaari, M.
  • Draganski, A.
  • Anker, J. N.
  • Petit, L.
  • Bondzior, B.
  • Massera, J.
  • Magalhaes, E. Santos
  • Ghanavati, S.
  • Haeberlin, A.
  • Bernhard, Benedikt
  • Illi, J.
  • Gloeckler, M.
  • Windecker, S.
  • Pilgrim, T.
  • Praz, F.
  • Gräni, Christoph
  • J., Deren P.
  • Pugliese, D.
  • H., Quan Vu T.
  • Mockler, T. C.
  • Bhadra, S.
  • Maimaitijiang, M.
  • Sagan, V.
  • Fleischer, J.
  • Hofmann, J.
  • Wirth, F.
OrganizationsLocationPeople

article

Translating Imaging Into 3D Printed Cardiovascular Phantoms: A Systematic Review of Applications, Technologies, and Validation.

  • Haeberlin, A.
  • Bernhard, Benedikt
  • Illi, J.
  • Gloeckler, M.
  • Windecker, S.
  • Pilgrim, T.
  • Nguyen, C.
  • Praz, F.
  • Gräni, Christoph
Abstract

Translation of imaging into 3-dimensional (3D) printed patient-specific phantoms (3DPSPs) can help visualize complex cardiovascular anatomy and enable tailoring of therapy. The aim of this paper is to review the entire process of phantom production, including imaging, materials, 3D printing technologies, and the validation of 3DPSPs. A systematic review of published research was conducted using Embase and MEDLINE, including studies that investigated 3DPSPs in cardiovascular medicine. Among 2,534 screened papers, 212 fulfilled inclusion criteria and described 3DPSPs as a valuable adjunct for planning and guiding interventions (n = 108 [51%]), simulation of physiological or pathological conditions (n = 19 [9%]), teaching of health care professionals (n = 23 [11%]), patient education (n = 3 [1.4%]), outcome prediction (n = 6 [2.8%]), or other purposes (n = 53 [25%]). The most common imaging modalities to enable 3D printing were cardiac computed tomography (n = 131 [61.8%]) and cardiac magnetic resonance (n = 26 [12.3%]). The printing process was conducted mostly by material jetting (n = 54 [25.5%]) or stereolithography (n = 43 [20.3%]). The 10 largest studies that evaluated the geometric accuracy of 3DPSPs described a mean bias <±1 mm; however, the validation process was very heterogeneous among the studies. Three-dimensional printed patient-specific phantoms are highly accurate, used for teaching, and applied to guide cardiovascular therapy. Systematic comparison of imaging and printing modalities following a standardized validation process is warranted to allow conclusions on the optimal production process of 3DPSPs in the field of cardiovascular medicine.

Topics
  • impedance spectroscopy
  • inclusion
  • simulation
  • tomography
  • material jetting