Sebastian Kozerke

Country flagSwitzerland

Research Interests

Explore related searches

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

Articles (10)

Purpose In contrast to conventional MR, signal‐to‐noise ratio (SNR) is not linearly dependent on field strength in hyperpolarized MR, as polarization is generated outside the MR system. Moreover, field inhomogeneity‐induced artifacts and other practical limitations associated with field strengths 3T are alleviated at lower fields. The potential of hyperpolarized C spectroscopy and imaging at 1.5T versus 3T is demonstrated in silico, in vitro, and in vivo for applications on clinical MR systems. Theory and Methods Theoretical noise and SNR behavior at different field strengths are investigated based on simulations. A thorough field comparison between 1.5T and 3T is performed using thermal and hyperpolarized C spectroscopy and imaging. Cardiac in vivo data is obtained in pigs using hyperpolarized [1‐C]pyruvate spectroscopy and imaging at 1.5T and 3T. Results Based on theoretical considerations and simulations, the SNR of hyperpolarized MR at identical acquisition bandwidths is independent of the field strength for typical coil setups, while adaptively changing the acquisition bandwidth proportional to the static magnetic field allows for net SNR gains of up to 40% at 1.5T compared to 3T. In vitro C data verified these considerations with less than 7% deviation. In vivo feasibility of hyperpolarized [1‐C]pyruvate dynamic metabolic spectroscopy and imaging at 1.5T is demonstrated in the pig heart with comparable SNR between 1.5T and 3T while B artifacts are noticeably reduced at 1.5T. Conclusion Hyperpolarized C MR at lower field strengths is favorable in terms of SNR and off‐resonance effects, which makes 1.5T a promising alternative to 3T, especially for clinical cardiac metabolic imaging.

Year:

2023

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Year:

2021

Collaborators (6)

Irvin Teh

University of Leeds

UNITED KINGDOM
View details

Christian Stoeck

-

SWITZERLAND
View details

Jordan Boyle

Delft University of Technology

NETHERLANDS
View details

Jaume Coll-Font

-

UNITED STATES
View details

Daniel Ennis

Professor of Radiology and Bioengineering

Stanford University

UNITED STATES
View details

Christian Guenthner

ETH Zürich

SWITZERLAND
View details
ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.