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An Extended Phase Graph framework for modelling systems with exchange or magnetization transfer (MT) is proposed. The framework, referred to as EPG-X, models coupled two-compartment systems by describing each compartment with separate phase…

Medical Physics · Physics 2017-09-05 Shaihan J. Malik , Rui P. A. G. Teixeira , Joseph V. Hajnal

Scattering experiments can be leveraged to extract the effective properties of a heterogeneous metamaterial slab based on multi-point measurements in surrounding media. In this technique, two measurements are made in the ambient media on…

Applied Physics · Physics 2023-07-14 Joshua Morris , Alireza V. Amirkhizi

Multi-boson symmetrization effects on two-particle Bose-Einstein interferometry are studied for ensembles with arbitrary multiplicity distributions. In the general case one finds interesting residual correlations which require a modified…

High Energy Physics - Phenomenology · Physics 2007-05-23 Ulrich Heinz

Reconfigurable meta-surface (RMS) is proposed as a very promising and novel technology, which is composed of a large number of low-cost passive elements, and can achieve passive beamforming by controlling the amplitude and phase of incident…

Signal Processing · Electrical Eng. & Systems 2022-02-22 Zhendong Li , Wen Chen , Chong He , Xudong Bai , Jianmin Lu

Model-driven analysis of biophysical phenomena is gaining increased attention and utility for medical imaging applications. In magnetic resonance imaging (MRI), the availability of well-established models for describing the relations…

Medical Physics · Physics 2023-10-31 Dinor Nagar , Nikita Vladimirov , Christian T. Farrar , Or Perlman

Transfer learning (TL) has been widely used in motor imagery (MI) based brain-computer interfaces (BCIs) to reduce the calibration effort for a new subject, and demonstrated promising performance. While a closed-loop MI-based BCI system,…

Signal Processing · Electrical Eng. & Systems 2023-05-04 Dongrui Wu , Xue Jiang , Ruimin Peng , Wanzeng Kong , Jian Huang , Zhigang Zeng

Quantitative magnetic resonance imaging might provide a more specific insight into disease process, progression and therapeutic response of multiple sclerosis. We present an extension of a previously published approach for the simultaneous…

Exact calculated time evolutions in the framework of a many-electron model of itinerant magnetism provide new insights into the laser-induced ultrafast demagnetization observed in ferromagnetic (FM) transition metal thin films. The…

Strongly Correlated Electrons · Physics 2015-11-25 W. Töws , G. M. Pastor

Many applications of magnetic resonance are limited by rapid loss of spin coherence caused by large transverse relaxation rates. In nuclear magnetic resonance (NMR) of large proteins, increased relaxation losses lead to poor sensitivity of…

Quantum Physics · Physics 2007-05-23 N. Khaneja , J. S. Li , C. Kehlet , B. Luy , S. J. Glaser

We investigate the transfer of genuine multipartite entanglement across a spin-1/2 chain with nearest-neighbor XX-type interaction. We focus on the perturbative regime, where a block of spins is weakly coupled at each edge of a quantum…

Quantum Physics · Physics 2020-04-10 Tony J. G. Apollaro , Claudio Sanavio , Wayne Jordan Chetcuti , Salvatore Lorenzo

Frame rate is a crucial consideration in cardiac ultrasound imaging and 3D sonography. Several methods have been proposed in the medical ultrasound literature aiming at accelerating the image acquisition. In this paper, we consider one such…

Computer Vision and Pattern Recognition · Computer Science 2018-08-24 Sanketh Vedula , Ortal Senouf , Grigoriy Zurakhov , Alex M. Bronstein , Michael Zibulevsky , Oleg Michailovich , Dan Adam , Diana Gaitini

Multimodal MRI provides complementary and clinically relevant information to probe tissue condition and to characterize various diseases. However, it is often difficult to acquire sufficiently many modalities from the same subject due to…

Image and Video Processing · Electrical Eng. & Systems 2021-06-08 Xiaofeng Liu , Fangxu Xing , Georges El Fakhri , Jonghye Woo

With their ability to handle an increased amount of information, multivariate and multichannel signals can be used to solve problems normally not solvable with signals obtained from a single source. One such problem is the decomposition…

Information Theory · Computer Science 2019-04-02 Ljubisa Stankovic , Milos Brajovic , Milos Dakovic , Danilo Mandic

Brain tumor segmentation (BTS) in magnetic resonance image (MRI) is crucial for brain tumor diagnosis, cancer management and research purposes. With the great success of the ten-year BraTS challenges as well as the advances of CNN and…

Image and Video Processing · Electrical Eng. & Systems 2022-07-18 Jianwei Lin , Jiatai Lin , Cheng Lu , Hao Chen , Huan Lin , Bingchao Zhao , Zhenwei Shi , Bingjiang Qiu , Xipeng Pan , Zeyan Xu , Biao Huang , Changhong Liang , Guoqiang Han , Zaiyi Liu , Chu Han

The Transformer has been successfully used in medical image segmentation due to its excellent long-range modeling capabilities. However, patch segmentation is necessary when building a Transformer class model. This process may disrupt the…

Computer Vision and Pattern Recognition · Computer Science 2024-12-24 Xiaofei Huang , Hongfang Gong , Jin Zhang

We investigate joint bistatic positioning (BP) and monostatic sensing (MS) within a multi-input multi-output orthogonal frequency-division system. Based on the derived Cram\'er-Rao Bounds (CRBs), we propose novel beamforming optimization…

Signal Processing · Electrical Eng. & Systems 2025-03-06 Yuchen Zhang , Hui Chen , Pinjun Zheng , Boyu Ning , Hong Niu , Henk Wymeersch , Tareq Y. Al-Naffouri

Quantitative magnetic resonance imaging (qMRI) derives tissue-specific parameters -- such as the apparent transverse relaxation rate R2*, the longitudinal relaxation rate R1 and the magnetisation transfer saturation -- that can be compared…

Image and Video Processing · Electrical Eng. & Systems 2021-05-10 Yaël Balbastre , Mikael Brudfors , Michela Azzarito , Christian Lambert , Martina F. Callaghan , John Ashburner

Multi-modal Magnetic Resonance Imaging (MRI) translation leverages information from source MRI sequences to generate target modalities, enabling comprehensive diagnosis while overcoming the limitations of acquiring all sequences. While…

Image and Video Processing · Electrical Eng. & Systems 2025-05-20 Jiyao Liu , Shangqi Gao , Yuxin Li , Lihao Liu , Xin Gao , Zhaohu Xing , Junzhi Ning , Yanzhou Su , Xiao-Yong Zhang , Junjun He , Ningsheng Xu , Xiahai Zhuang

The root raised-cosine pulse commonly used in linear digital modulations yields exactly two intersymbol interference components from the preceding and the subsequent data symbols, provided that the roll-off factor is $100\%$ and the…

Information Theory · Computer Science 2023-01-05 Pavel Loskot

Magnetic resonance imaging (MRI) has greatly advanced neuroscience research and clinical diagnostics. However, imaging data collected across different scanners, acquisition protocols, or imaging sites often exhibit substantial…

Image and Video Processing · Electrical Eng. & Systems 2026-04-02 Qinqin Yang , Firoozeh Shomal-Zadeh , Ali Gholipour