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We study relaxation of a spin in magnetic resonance force microscopy (MRFM) experiments. We evaluate the relaxation rate for the spin caused by high-frequency mechanical noise of the cantilever under the conditions of adiabatic spin…

Mesoscale and Nanoscale Physics · Physics 2009-11-07 D. Mozyrsky , I. Martin , D. Pelekhov , P. C. Hammel

Quantitative nuclear magnetic resonance imaging (MRI) shifts more and more into the focus of clinical research. Especially determination of relaxation times without/and with contrast agents becomes the foundation of tissue characterization,…

Medical Physics · Physics 2018-10-17 Thomas Kampf , Theresa Reiter , Wolfgang Rudolf Bauer

We theoretically analyze the typical learning performance of $\ell_{1}$-regularized linear regression ($\ell_1$-LinR) for Ising model selection using the replica method from statistical mechanics. For typical random regular graphs in the…

Machine Learning · Computer Science 2022-12-07 Xiangming Meng , Tomoyuki Obuchi , Yoshiyuki Kabashima

In radial fast spin-echo MRI, a set of overlapping spokes with an inconsistent T2 weighting is acquired, which results in an averaged image contrast when employing conventional image reconstruction techniques. This work demonstrates that…

Medical Physics · Physics 2016-03-02 Kai Tobias Block , Martin Uecker , Jens Frahm

Recovering the T2 distribution from multi-echo T2 magnetic resonance (MR) signals is challenging but has high potential as it provides biomarkers characterizing the tissue micro-structure, such as the myelin water fraction (MWF). In this…

Purpose: To develop and validate a multi-parametric SAturation-recovery single-SHot Acquisition (mSASHA) cardiac T1 and T2 mapping technique with high accuracy and precision in a single breath-hold. Methods: The mSASHA acquisition consists…

We investigate the effectiveness of the Inverse Laplace Transform (ILT) analysis method to extract the distribution of relaxation rates from nuclear magnetic resonance data with stretched exponential relaxation. Stretched-relaxation is a…

Strongly Correlated Electrons · Physics 2021-09-10 H. Choi , I. Vinograd , C. Chaffey , N. J. Curro

The nuclear spin relaxation rate (1/$T_1$) is measured for GaAs two-dimensional electron systems in the quantum Hall regime with an all-electrical technique for agitating and probing the nuclear spins. A "tilted plateau" feature is observed…

Mesoscale and Nanoscale Physics · Physics 2015-06-01 Tong Guan , Benedikt Friess , Yongqing Li , Shishen Yan , Vladimir Umansky , Klaus von Klitzing , Jurgen H. Smet

Much recent attention has been paid to quantifying anatomic and functional neuroimaging on the individual subject level. For optimal individual subject characterization, specific acquisition and analysis features need to be identified that…

1H spin-lattice relaxation experiments have been performed for water - Bovine Serum Al-bumin (BSA) mixtures including 20% wt and 40% wt of BSA. The experiments have been carried out in a frequency range encompassing three orders of…

Purpose: The analysis of optimized spin ensemble trajectories for relaxometry in the hybrid state. Methods: First, we constructed visual representations to elucidate the differential equation that governs spin dynamics in hybrid state.…

Medical Physics · Physics 2019-06-26 Jakob Assländer , Riccardo Lattanzi , Daniel K Sodickson , Martijn A Cloos

Low-dimensional quantum magnets, particularly those with strong spin frustration, are characterized by their notable spin fluctuations. Nuclear magnetic resonance (NMR) serves as a sensitive probe of low-energy fluctuations that offers…

Strongly Correlated Electrons · Physics 2024-03-21 Ning Xi , Yuan Gao , Chengchen Li , Shuang Liang , Rong Yu , Xiaoqun Wang , Wei Li

In this work, we propose a free-breathing magnetic resonance fingerprinting method that can be used to obtain $B_1^+$-robust quantitative maps of the abdomen in a clinically acceptable time. A three-dimensional MR fingerprinting sequence…

Many neural network (NN) verification systems represent the network's input-output relation as a constraint program. Sound and complete, representations involve integer constraints, for simulating the activations. Recent works convexly…

Machine Learning · Computer Science 2026-04-22 Merkouris Papamichail , Konstantinos Varsos , Giorgos Flouris , João Marques-Silva

SQUID-based MRI (magnetic resonance imaging) at microtesla fields has developed significantly over the past few years. Here we describe application of this method for magnetic relaxation measurements in the living human brain. We report…

Medical Physics · Physics 2009-07-18 V. S. Zotev , P. L. Volegov , A. N. Matlashov , I. M. Savukov , T. Owens , M. A. Espy

Low-field T2 mapping MRI can democratize neuropediatric imaging by improving accessibility and providing quantitative biomarkers of brain development. \textbf{Purpose:} To evaluate the feasibility of high-resolution T2 mapping using a…

Low frequency spin fluctuation dynamics in paramagnetic spinel LiV$_2$O$_4$, a rare 3$d$-electron heavy fermion system, is investigated. A parametrized self-consistent renormalization (SCR) theory of the dominant AFM spin fluctuations is…

Strongly Correlated Electrons · Physics 2009-11-13 V. Yushankhai , T. Takimoto , P. Thalmeier

Motivated by ferrimagnetic oligonuclear and chain compounds synthesized by Caneschi et al., both of which consist of alternating manganese(II) ions and nitronyl-nitroxide radicals, we calculate the nuclear spin-lattice relaxation rate 1/T_1…

Strongly Correlated Electrons · Physics 2009-11-10 Hiromitsu Hori , Shoji Yamamoto

It is the purpose of this paper to present a computational framework for reliably determining the frequency-dependent intermolecular and intramolecular NMR dipole-dipole relaxation rate of spin $1/2$ nuclei from MD simulations. The approach…

Soft Condensed Matter · Physics 2024-02-20 Dietmar Paschek , Johanna Busch , Eduard Mock , Ralf Ludwig , Anne Strate

Randomized smoothing (RS) is one of the prominent techniques to ensure the correctness of machine learning models, where point-wise robustness certificates can be derived analytically. While RS is well understood for classification, its…

Machine Learning · Computer Science 2025-09-22 Emmanouil Seferis , Changshun Wu , Stefanos Kollias , Saddek Bensalem , Chih-Hong Cheng
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