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Showing papers by "Steffen J. Glaser published in 2019"


Journal ArticleDOI
TL;DR: In this paper, a self-contained Wigner formalism for describing and predicting the time evolution of coupled spin systems is presented, which can be used to visualize the high-dimensional structure of multi-partite quantum states.

22 citations


Journal ArticleDOI
TL;DR: Shaped microwave pulses compensating the signal distortion to drive the spins faster than the resonator bandwidth translates into a shorter echo, with enhanced signal-to-noise ratio.

18 citations


Journal ArticleDOI
TL;DR: In this paper, the authors study continuous phase spaces of single spins and develop a complete description of their time evolution, which is completely specified by so-called star products, and explicitly determine these star products for general spin numbers using a simplified approach which applies spinweighted spherical harmonics.
Abstract: We study continuous phase spaces of single spins and develop a complete description of their time evolution. The time evolution is completely specified by so-called star products. We explicitly determine these star products for general spin numbers using a simplified approach which applies spin-weighted spherical harmonics. This approach naturally relates phase spaces of increasing spin number to their quantum-optical limit and allows for efficient approximations of the time evolution for large spin numbers. We also approximate phase-space representations of certain quantum states that are challenging to calculate for large spin numbers. All of these applications are explored in concrete examples and we outline extensions to coupled spin systems.

17 citations


Journal ArticleDOI
TL;DR: P pH-dependence of T1 for commonly used HP 13 C-labelled small molecules is analyzed and shows that increasing hydronium ion concentrations shorten the T1 of protonated carboxylic acids of most of the analyzed molecules except lactate, suggesting that intermolecular hydrogen bonding at low pH can contribute to this T1 shortening.
Abstract: Hyperpolarization is a method to enhance the nuclear magnetic resonance signal by up to five orders of magnitude. However, the hyperpolarized (HP) state is transient and decays with the spin-lattice relaxation time (T1 ), which is on the order of a few tens of seconds. Here, we analyzed the pH-dependence of T1 for commonly used HP 13 C-labelled small molecules such as acetate, alanine, fumarate, lactate, pyruvate, urea and zymonic acid. For instance, the T1 of HP pyruvate is about 2.5 fold smaller at acidic pH (25 s, pH 1.7, B0 =1 T) compared to pH close to physiological conditions (66 s, pH 7.3, B0 =1 T). Our data shows that increasing hydronium ion concentrations shorten the T1 of protonated carboxylic acids of most of the analyzed molecules except lactate. Furthermore it suggests that intermolecular hydrogen bonding at low pH can contribute to this T1 shortening. In addition, enhanced proton exchange and chemical reactions at the pKa appear to be detrimental for the HP-state.

7 citations


Journal ArticleDOI
TL;DR: This article proposes a rigorous optimal control framework for the design of preparation schemes that optimize MRI contrast based on relaxation time differences.
Abstract: PURPOSE This article proposes a rigorous optimal control framework for the design of preparation schemes that optimize MRI contrast based on relaxation time differences. METHODS Compared to previous optimal contrast preparation schemes, a drastic reduction of the optimization parameter number is performed. The preparation scheme is defined as a combination of several block pulses whose flip angles, phase terms and inter-pulse delays are optimized to control the magnetization evolution. RESULTS The proposed approach reduces the computation time of B 0 -robust preparation schemes to around a minute (whereas several hours were required with previous schemes), with negligible performance loss. The chosen parameterization allows to formulate the total preparation duration as a constraint, which improves the overall compromise between contrast performance and preparation time. Simulation, in vitro and in vivo results validate this improvement, illustrate the straightforward applicability of the proposed approach, and point out its flexibility in terms of achievable contrasts. Major improvement is especially achieved for short-T2 enhancement, as shown by the acquisition of a non-trivial contrast on a rat brain, where a short-T2 white matter structure (corpus callosum) is enhanced compared to surrounding gray matter tissues (hippocampus and neocortex). CONCLUSIONS This approach proposes key advances for the design of optimal contrast preparation sequences, that emphasize their ability to generate non-standard contrasts, their potential benefit in a clinical context, and their straightforward applicability on any MR system.

5 citations


Journal ArticleDOI
TL;DR: In this paper, the authors proposed an optimal control algorithm for periodic spin dynamics, which involves the design of a control field maximizing a figure of merit, while finding the initial and final states of the dynamics which are not known but are subjected to specific periodic conditions.
Abstract: We propose an optimal control algorithm for periodic spin dynamics. This non-trivial optimization problem involves the design of a control field maximizing a figure of merit, while finding the initial and final states of the dynamics, which are not known but are subjected to specific periodic conditions. As an illustrative example, we consider the maximization of the signal to noise ratio per unit time of spin systems. In the case of a homogeneous spin ensemble and a very short control duration, we show numerically that the optimal field corresponds to the Ernst angle solution. We investigate the optimal control process for longer control durations and their sensitivity to offset inhomogeneities.

4 citations


Journal ArticleDOI
TL;DR: A new open source package aimed at developing an intuitive, flexible and unique scripting framework able to cover many aspects of simulations in both MR imaging and MR spectroscopy, which adopted the Liouville space model as the standard computing engine.

1 citations