Thomas Widlak
University of Vienna
9 Papers
103 Citations
Thomas Widlak is an academic researcher from University of Vienna. The author has contributed to research in topics: Elastography & Speckle pattern. The author has an hindex of 6, co-authored 9 publications. Previous affiliations of Thomas Widlak include École Normale Supérieure.
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Papers
Hybrid tomography for conductivity imaging
TL;DR: In this paper, a review of hybrid tomography methods for electrical conductivity imaging is presented, where couplings between electric, magnetic and ultrasound modalities are used to perform high-resolution electrical impedance imaging and overcome the low-resolution problem of electric impedance tomography.
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Hybrid tomography for conductivity imaging
TL;DR: In this article, a review of hybrid tomography methods for electrical impedance imaging is presented, where couplings between electric, magnetic and ultrasound modalities are used to overcome the low-resolution problem of electric impedance imaging.
68
Texture Generation for Photoacoustic Elastography
TL;DR: This work shows that in fact artificial speckle patterns can be introduced by using only a band-limited part of the measurement data, and shows that after introduction of artificial specksle patterns, deformation estimation can be implemented more reliably in photoacoustic imaging.
10
Towards monitoring critical microscopic parameters for electropermeabilization
TL;DR: Effective parameters in a homogenization model are studied as the next step to monitor the microscopic properties in clinical practice and numerically the sensitivity of these effective parameters to critical microscopic parameters governing electropermeabilization is demonstrated.
7
Texture generation in compressional photoacoustic elastography
J. Schmid,J. Schmid,Behrooz Zabihian,Thomas Widlak,Thomas Glatz,Mengyang Liu,Wolfgang Drexler,Otmar Scherzer +7 more
TL;DR: It turns out that the implementation of texture generation during post processing reduces image quality overall, but it turnsout that it improves the detection of moving patterns and is therefore better suited for elastography.
6