Aleksandr Ovsianikov
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Recent Grants
Grant: Close
Advanced Photoinitiating Systems for Two-photon Absorption Induced Polymerization
Open Date: 2014-12-01
Close Date: 2017-05-31
Grant: Close
Laser-engineered Biomimetic Matrices with Embedded Cells
Open Date: 2013-03-01
Close Date: 2018-02-28
Articles (14)
Year:
2025
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2025
Year:
2025
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2025
Year:
2025
Magnetic resonance imaging (MRI) has become the prime imaging technique for in vivo examination of the brain. In addition to anatomical and functional MRI, diffusion MRI (dMRI) is widely used in both clinics and research to assess tissue structure and fiber directions, particularly in the nervous system. While diffusion tensor imaging is the most widespread approach for assessing orientation measures, other, more sophisticated models have also been proposed. Validation of dMRI is, however, a challenging endeavor that requires specialized test samples. Here it is shown that two‐photon polymerization (2PP) 3D printing allows for manufacturing such test objects, a.k.a. phantoms. After upscaling the 2PP fabrication process, 3D structures at high spatial resolution and sufficient size to image in a human 7T MRI scanner are created. These phantoms reliably mimic human white matter and thus enable the systematic validation and verification of dMRI data and their analyses. The 3D‐printed structures include up to 51 000 microchannels that mimic the diffusion behavior of larger axons, with a cross‐section of 12 × 12 µm 2 each, in parallel and crossing arrangements. The acquired dMRI data demonstrates and verifies the utility of these novel brain phantoms.
Year:
2024
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2024
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2024
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2023
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2023
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2022
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2021
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2020
Year:
2020
Collaborators (16)
Andreas Rohatschek
TU Wien
Siawoosh Mohammadi
University Medical Center Hamburg-Eppendorf
Philipp Thurner
TU Wien
Markus Lunzer
Chief Scientific Officer
UpNano GmbH
Stefan Baudis
TU Wien
Tommaso Zandrini
TU Wien
Christian Slugovc
Assoc. Prof.
Graz University of Technology
Julia Greer
California Institute of Technology
Christian Windischberger
Universität Wien
Marica Markovic
TU Wien
Zoltan Nagy
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Michael Woletz
Medical University of Vienna
Zhishuo Cui-Yang
Technical University of Munich
Thomas Koch
TU Wien
Olivier Guillaume
TU Wien
Riccardo Levato
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