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Evangelos Trifon Laskaris

Researcher at General Electric

Publications -  335
Citations -  4622

Evangelos Trifon Laskaris is an academic researcher from General Electric. The author has contributed to research in topics: Electromagnetic coil & Magnet. The author has an hindex of 34, co-authored 335 publications receiving 4552 citations.

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Patent

Superconductive magnetic resonance magnet without cryogens

TL;DR: In this article, a superconductive magnet for magnetic resonance imaging not requiring consumable cryogens or requiring cryogen liquid or vapor cooling of superconducting coils is provided having a resin impregnated coil of superconductor wire.
Patent

Open mri magnet

TL;DR: An open magnetic resonance imaging (MRI) magnet has first (12) and second (20) spaced-apart superconductive coil assemblies each including a toroidal-shaped coil housing (14,22) containing a superconductively main coil (40,46) and a super-conductive bucking coil (44,50) as discussed by the authors.
Journal ArticleDOI

Development of a High Speed HTS Generator for Airborne Applications

TL;DR: The development of the generator is described and some key test results used to validate the design are presented, which indicate that the generator has a significant margin over the test points and that its performance is consistent with program specifications.
Patent

Conduction cooled passively-shielded MRI magnet

TL;DR: In this article, a magnetic resonance imaging (MRI) device for imaging a volume is provided with at least one main magnet for generating a magnetic field, and a gradient coil for manipulating the magnetic field generated by the at least main magnet to image the volume.
Patent

Open (non-enclosed) magnets for magnetic resonance imaging

TL;DR: In this paper, an open magnet having two magnet assemblies arranged in a spaced-apart parallel relationship to define a working space there between is provided for magnetic resonance imaging. And the specific shape of the field enhancers is determined with a nonlinear optimization design method.