arXiv subjects

Michael Hansen

Publications and source records attributed to Michael Hansen.

7 recordsLinked to original sources

arXiv2026

High-resolution ultra-low-field MRI with SNRAware denoising

Ultra-low-field (ULF, <0.1 T) magnetic resonance imaging (MRI) systems offer advantages in cost, portability, and accessibility, but their current utility is still limited by low signal-to-noise ratio (SNR). Deep learning (DL)-based denoising has emerged as a potential strategy to mitigate this limitation. In this work, we present a systematic evaluation of a high-performance DL denoising model trained using the SNRAware framework and applied to 88 mT and 72 mT data. Using a series of controlled experiments, we assessed model performance as a function of spatial resolution, coil impedance matching, readout bandwidth, input noise level, k-space undersampling, anatomy, image contrast, and scanner platform, and compared against analytical denoising algorithms. The model consistently increased the effective SNR of ULF acquisitions, enabling images with nominal spatial resolutions comparable to those commonly used in clinical 3 T protocols. Residual analyses indicated that the model predominantly removed stochastic noise while preserving underlying signal structure. At the same time, the results highlight some constraints: denoising performance remains dependent on the starting SNR of the acquisition, and training-domain mismatch influences behavior under certain artifact conditions. These findings suggest that DL-based denoising can significantly expand the practical capabilities of ULF MRI, while emphasizing potential benefits from hardware-software co-optimization and the need for rigorous clinical validation to determine the diagnostic value of denoised images.

physics.med-ph↗

arXiv2025

In-vivo imaging with a low-cost MRI scanner and cloud data processing in low-resource settings

Purpose: To demonstrate in-vivo imaging with a low-cost, low-field MRI scanner built and operated in Africa, and to show how systematic hardware and software improvements can mitigate the main operational limitations encountered in low-resource environments. Methods: A 46 mT Halbach scanner located at the Mbarara University of Science and Technology (Uganda) was upgraded through a complete reorganization of grounding and shielding, installation of new control electronics and open-source user-interface software. Noise performance was quantified using a standardized protocol and in-vivo brain images were acquired with three-dimensional RARE sequences. Distortion correction was implemented using cloud-based reconstructions incorporating magnetic field maps. Results: The revamped system reached noise levels routinely below three times the thermal limit and demonstrated stable operation over multi-day measurements. Three-dimensional T1- and T2-weighted brain images were successfully acquired and distortion-corrected with remote GPU-based reconstructions and near real-time visualization through the user interface. Conclusions: The results show that low-cost MRI systems can achieve clinically relevant image quality when electromagnetic noise and power-grid instabilities are properly addressed. This work highlights the feasibility of sustainable MRI development in low-resource settings and identifies stable power delivery and local capacity building as the key next steps toward clinical translation.

physics.med-ph↗

arXiv2020

Energy harvesting via co-locating horizontal- and vertical-axis wind turbines

Co-locating horizontal- and vertical-axis wind turbines has been recently proposed as a possible approach to enhance the land-area power density of wind farms. In this work, we aim to study the benefits associated with such a co-location using large-eddy simulation (LES) and analytical wake models. In this regard, small-scale vertical-axis wind turbines (VAWTs) in triangular clusters are deployed within a finite-size wind farm consisting of horizontal-axis wind turbines (HAWTs). Wake flow within the wind farm and the effect of VAWTs on the overall wind-farm efficiency are investigated and quantified. The results show that the optimal deployment of small-scale VAWTs has a negligible impact on the performance of HAWT arrays while increasing the total power production. For the particular cases considered here, the power output of the co-located wind farm increases up to 21% compared to the baseline case in which only the HAWTs are present. Also, by comparing to the LES results, it is shown that the analytical framework proposed here is able to accurately predict the power production of wind farms including both HAWTs and VAWTs. Next, as a real-world application, potential benefits of deploying small-scale VAWTs inside the Horns Rev 1 wind farm are explored for various wind directions using the calibrated wake model. The results show potential for about an 18% increase in the wind-farm power production, averaged over all wind directions, for a particular VAWT layout investigated in this study. The levelized cost of energy (LCoE) for the co-located wind farm is also assessed. The simulations finds that meanwhile the installation of VAWTs increases the annual energy production of the wind farm, it also increases the LCoE, which is caused by a) lack of operational data, and b) a low technology readiness level for VAWTs and floating foundations.

physics.flu-dyn↗

arXiv2019

Computational Bounds for Doing Harmonic Analysis on Permutation Modules of Finite Groups

We develop an approach to finding upper bounds for the number of arithmetic operations necessary for doing harmonic analysis on permutation modules of finite groups. The approach takes advantage of the intrinsic orbital structure of permutation modules, and it uses the multiplicities of irreducible submodules within individual orbital spaces to express the resulting computational bounds. We conclude by showing that these bounds are surprisingly small when dealing with certain permutation modules arising from the action of the symmetric group on tabloids.

math.RT↗

arXiv2018

Characteristics of long-lived persistent spectral holes in $Eu^{3+}:Y_{2}SiO_{5}$ at $1.2~K$

Properties of persistent spectral holes (SHs) relevant for frequency metrology have been investigated in the system $Eu^{3+}:Y_{2}SiO_{5}$ (0.5%) at crystallographic site 1 and a temperature of $1.2$ Kelvin. Hole linewidths as small as $0.6~kHz$ have been reliably achieved. The theoretically predicted $T^4$-dependence of the frequency shift with temperature has been confirmed with high precision. The thermal hysteresis of the SH frequency between $1.15~K$ and $4.1~K$ was measured to be less than $6\cdot10^{-3}$ fractionally. After initially burning a large ensemble of SHs, their properties were studied on long time scales by probing different subsets at different times. SHs could still be observed 49 days after burning if not interrogated in the meantime. During this time, the SH linewidth increased from $4$ to $5.5~kHz$, and the absorption contrast decreased from 35% to 15%. During a 14-day interval the absolute optical frequencies of previously unperturbed spectral holes were measured with respect to a GPS-monitored active H-maser, using a femtosecond frequency comb. The fractional frequency drift rate exhibited an upper limit of $2.3\cdot10^{-19} s^{-1}$, 65 times smaller than the most stringent previous limit.

physics.atom-ph↗

arXiv2013

What Makes Code Hard to Understand?

What factors impact the comprehensibility of code? Previous research suggests that expectation-congruent programs should take less time to understand and be less prone to errors. We present an experiment in which participants with programming experience predict the exact output of ten small Python programs. We use subtle differences between program versions to demonstrate that seemingly insignificant notational changes can have profound effects on correctness and response times. Our results show that experience increases performance in most cases, but may hurt performance significantly when underlying assumptions about related code statements are violated.

cs.SE↗

arXiv2008

Desynched channels on IRCnet

In this paper we describe what a desynchronised channel on IRC is. We give procedures on how to create such a channel and how to remove desynchronisation. We explain which types of desynchronisation there are, what properties desynchronised channels have, and which properties can be exploited.

cs.NI↗