Materials Map

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

  • About
  • Privacy Policy
  • Legal Notice
  • Contact

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.

×

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.

To Graph

1.080 Topics available

To Map

977 Locations available

693.932 PEOPLE
693.932 People People

693.932 People

Show results for 693.932 people that are selected by your search filters.

←

Page 1 of 27758

→
←

Page 1 of 0

→
PeopleLocationsStatistics
Naji, M.
  • 2
  • 13
  • 3
  • 2025
Motta, Antonella
  • 8
  • 52
  • 159
  • 2025
Aletan, Dirar
  • 1
  • 1
  • 0
  • 2025
Mohamed, Tarek
  • 1
  • 7
  • 2
  • 2025
Ertürk, Emre
  • 2
  • 3
  • 0
  • 2025
Taccardi, Nicola
  • 9
  • 81
  • 75
  • 2025
Kononenko, Denys
  • 1
  • 8
  • 2
  • 2025
Petrov, R. H.Madrid
  • 46
  • 125
  • 1k
  • 2025
Alshaaer, MazenBrussels
  • 17
  • 31
  • 172
  • 2025
Bih, L.
  • 15
  • 44
  • 145
  • 2025
Casati, R.
  • 31
  • 86
  • 661
  • 2025
Muller, Hermance
  • 1
  • 11
  • 0
  • 2025
Kočí, JanPrague
  • 28
  • 34
  • 209
  • 2025
Šuljagić, Marija
  • 10
  • 33
  • 43
  • 2025
Kalteremidou, Kalliopi-ArtemiBrussels
  • 14
  • 22
  • 158
  • 2025
Azam, Siraj
  • 1
  • 3
  • 2
  • 2025
Ospanova, Alyiya
  • 1
  • 6
  • 0
  • 2025
Blanpain, Bart
  • 568
  • 653
  • 13k
  • 2025
Ali, M. A.
  • 7
  • 75
  • 187
  • 2025
Popa, V.
  • 5
  • 12
  • 45
  • 2025
Rančić, M.
  • 2
  • 13
  • 0
  • 2025
Ollier, Nadège
  • 28
  • 75
  • 239
  • 2025
Azevedo, Nuno Monteiro
  • 4
  • 8
  • 25
  • 2025
Landes, Michael
  • 1
  • 9
  • 2
  • 2025
Rignanese, Gian-Marco
  • 15
  • 98
  • 805
  • 2025

Raffaele, Alessandro

  • Google
  • 1
  • 8
  • 2

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (1/1 displayed)

  • 2023Elaboration and development of a realistic 3D printed model for training in ultrasound-guided placement of peripheral central venous catheter in children2citations

Places of action

Chart of shared publication
Negrello, Erika
1 / 1 shared
Parigi, Gian Battista
1 / 1 shared
Marconi, Stefania
1 / 6 shared
Negrini, Mattia
1 / 1 shared
Valeria, Mauri
1 / 1 shared
Auricchio, Ferdinando
1 / 58 shared
Avolio, Luigi
1 / 1 shared
Pietrabissa, Andrea
1 / 1 shared
Chart of publication period
2023

Co-Authors (by relevance)

  • Negrello, Erika
  • Parigi, Gian Battista
  • Marconi, Stefania
  • Negrini, Mattia
  • Valeria, Mauri
  • Auricchio, Ferdinando
  • Avolio, Luigi
  • Pietrabissa, Andrea
OrganizationsLocationPeople

article

Elaboration and development of a realistic 3D printed model for training in ultrasound-guided placement of peripheral central venous catheter in children

  • Negrello, Erika
  • Parigi, Gian Battista
  • Marconi, Stefania
  • Negrini, Mattia
  • Raffaele, Alessandro
  • Valeria, Mauri
  • Auricchio, Ferdinando
  • Avolio, Luigi
  • Pietrabissa, Andrea
Abstract

<jats:sec><jats:title>Background:</jats:title><jats:p> Simulation for training is becoming a trend topic worldwide, even if its applications are commonly limited to adulthood. Ultrasound-guided procedures require practice and experience—especially in the pediatric field, where the small size of the involved anatomical structures poses major problems. In this context, a realistic 3D printed pediatric phantom for training of the ultrasound-guided placement of peripheral central venous catheters in children was developed. </jats:p></jats:sec><jats:sec><jats:title>Materials and methods:</jats:title><jats:p> Starting from Computed Tomography scans of an 8 years-old girl, her left arm was virtually reconstructed—including bones, arteries, and veins—through a semi-automatic segmentation process. According to preliminary results, the most suitable 3D printing technologies to reproduce the different anatomical structures of interest were selected, considering both direct and indirect 3D printing techniques. Experienced operators were asked to evaluate the efficacy of the final model through a dedicated questionnaire. </jats:p></jats:sec><jats:sec><jats:title>Results:</jats:title><jats:p> Vessels produced through indirect 3D printing latex dipping technique exhibited the best echogenicity, thickness, and mechanical properties to mimic real children’s venous vessels, while arteries—not treated and/or punctured during the procedure—were directly 3D printed through Material Jetting technology. An external mold—mimicking the arm skin—was 3D printed and a silicone-based mixture was poured to reproduce real patient’s soft tissues. Twenty expert specialists were asked to perform the final model’s validation. The phantom was rated as highly realistic in terms of morphology and functionality for the overall simulation, especially for what concerns vessels and soft tissues’ response to puncturing. On the other hand, the involved structures’ US appearance showed the lower score. </jats:p></jats:sec><jats:sec><jats:title>Conclusions:</jats:title><jats:p> The present work shows the feasibility of a patient-specific 3D printed phantom for simulation and training in pediatric ultrasound-guided procedures. </jats:p></jats:sec>

Topics
  • impedance spectroscopy
  • morphology
  • simulation
  • size-exclusion chromatography
  • material jetting
  • computed tomography scan