scispace - formally typeset
S

Sébastien Bär

Researcher at University Medical Center Freiburg

Publications -  6
Citations -  182

Sébastien Bär is an academic researcher from University Medical Center Freiburg. The author has contributed to research in topics: Hyperpolarization (physics) & Imaging phantom. The author has an hindex of 4, co-authored 5 publications receiving 159 citations. Previous affiliations of Sébastien Bär include University of Freiburg.

Papers
More filters
Journal ArticleDOI

A continuous-flow, high-throughput, high-pressure parahydrogen converter for hyperpolarization in a clinical setting

TL;DR: This article presents the safety concept, design and installation of a pH2 converter, operated in a clinical setting, and a dependence of line width on pH2 enrichment is observed.
Journal ArticleDOI

On the spin order transfer from parahydrogen to another nucleus.

TL;DR: Close to unity polarization is obtained for all molecules and sequences and the loss of polarization caused by erroneous B(1) and J-coupling constants is reduced by choosing the channel and phase of some pulses in the SOT sequences appropriately.
Journal ArticleDOI

A battery-driven, low-field NMR unit for thermally and hyperpolarized samples

TL;DR: A multinuclear low-field NMR unit with variable field strength <6 mT providing accurate spin manipulations and sufficient sensitivity for direct detection of samples in thermal equilibrium to aid parahydrogen-based hyperpolarization experiments is designed.
Journal ArticleDOI

Intrinsic diffusion sensitivity of the balanced steady‐state free precession (bSSFP) imaging sequence

TL;DR: It was found that the readout gradients have a stronger impact on the attenuation than the phase encode gradients, as the PE gradients are varying with each repetition interval, the diffusion effects induce strong modulations of the bSSFP signal over the sequence repetition cycles depending on the phase encoding gradient table.
Proceedings ArticleDOI

Adaptive Micro-liter Fiducials for Pre-clinical MPI and MRI Imaging

TL;DR: In this paper , an adaptable 3D-printed fiducial system for preclinical co-registration of MRI and MPI data designed for easy visualisation is presented, which can be aligned with the merged image containing both anatomical data and information about the tracer distribution.