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Non-invasive detection of microvascular alterations in deep tissues in vivo provides critical information for clinical diagnosis and evaluation of a broad-spectrum of pathologies. Recently, the emergence of super-resolution ultrasound…

Physics-driven deep learning (PD-DL) approaches have become popular for improved reconstruction of fast magnetic resonance imaging (MRI) scans. Though PD-DL offers higher acceleration rates than existing clinical fast MRI techniques, their…

Image and Video Processing · Electrical Eng. & Systems 2025-10-23 Yaşar Utku Alçalar , Merve Gülle , Mehmet Akçakaya

Scanning superconducting quantum interference device microscopy (SSM) is a scanning probe technique that images local magnetic flux, which allows for mapping of magnetic fields with high field and spatial accuracy. Many studies involving…

Instrumentation and Detectors · Physics 2018-01-17 P. Reith , X. Renshaw Wang , H. Hilgenkamp

High spatial and temporal resolution across the whole brain is essential to accurately resolve neural activities in fMRI. Therefore, accelerated imaging techniques target improved coverage with high spatio-temporal resolution. Simultaneous…

Image and Video Processing · Electrical Eng. & Systems 2021-05-13 Omer Burak Demirel , Burhaneddin Yaman , Logan Dowdle , Steen Moeller , Luca Vizioli , Essa Yacoub , John Strupp , Cheryl A. Olman , Kâmil Uğurbil , Mehmet Akçakaya

Forensic science heavily relies on analyzing latent fingerprints, which are crucial for criminal investigations. However, various challenges, such as background noise, overlapping prints, and contamination, make the identification process…

Computer Vision and Pattern Recognition · Computer Science 2023-06-02 Andre Brasil Vieira Wyzykowski , Anil K. Jain

Parallel magnetic resonance imaging has served as an effective and widely adopted technique for accelerating scans. The advent of sparse sampling offers aggressive acceleration, allowing flexible sampling and better reconstruction.…

Medical Physics · Physics 2019-09-09 Xinlin Zhang , Di Guo , Yiman Huang , Ying Chen , Liansheng Wang , Feng Huang , Xiaobo Qu

Automated segmentation of multiple sclerosis (MS) lesions using multicontrast magnetic resonance (MR) images improves efficiency and reproducibility compared to manual delineation, with deep learning (DL) methods achieving state-of-the-art…

Recently, super-resolution ultrasound imaging with ultrasound localization microscopy (ULM) has received much attention. However, ULM relies on low concentrations of microbubbles in the blood vessels, ultimately resulting in long…

Magnetic Resonance Image (MRI) acquisition is an inherently slow process which has spurred the development of two different acceleration methods: acquiring multiple correlated samples simultaneously (parallel imaging) and acquiring fewer…

Image and Video Processing · Electrical Eng. & Systems 2020-04-01 Anuroop Sriram , Jure Zbontar , Tullie Murrell , C. Lawrence Zitnick , Aaron Defazio , Daniel K. Sodickson

We report a technique that uses clouds of ultracold atoms as sensitive, tunable, and non-invasive probes for microwave field imaging with micrometer spatial resolution. The microwave magnetic field components drive Rabi oscillations on…

Atomic Physics · Physics 2010-12-03 Pascal Boehi , Max F. Riedel , Theodor W. Haensch , Philipp Treutlein

Multi-shot echo planar imaging (msEPI) is a promising approach to achieve high in-plane resolution with high sampling efficiency and low T2* blurring. However, due to the geometric distortion, shot-to-shot phase variations and potential…

Image and Video Processing · Electrical Eng. & Systems 2019-09-13 Congyu Liao , Xiaozhi Cao , Jaejin Cho , Zijing Zhang , Kawin Setsompop , Berkin Bilgic

Magnetic resonance imaging (MRI) is widely used for screening, diagnosis, image-guided therapy, and scientific research. A significant advantage of MRI over other imaging modalities such as computed tomography (CT) and nuclear imaging is…

Image and Video Processing · Electrical Eng. & Systems 2020-02-20 Qing Lyu , Hongming Shan , Ge Wang

Magnetic Resonance Imaging (MRI) is a technology for non-invasive imaging of anatomical features in detail. It can help in functional analysis of organs of a specimen but it is very costly. In this work, methods for (i) virtual…

Image and Video Processing · Electrical Eng. & Systems 2023-03-17 Somoballi Ghoshal , Shremoyee Goswami , Amlan Chakrabarti , Susmita Sur-Kolay

Multi-site structural MRI is increasingly used in neuroimaging studies to diversify subject cohorts. However, combining MR images acquired from various sites/centers may introduce site-related non-biological variations. Retrospective image…

Image and Video Processing · Electrical Eng. & Systems 2024-08-20 Mengqi Wu , Minhui Yu , Shuaiming Jing , Pew-Thian Yap , Zhengwu Zhang , Mingxia Liu

Compressed sensing MRI is a classic inverse problem in the field of computational imaging, accelerating the MR imaging by measuring less k-space data. The deep neural network models provide the stronger representation ability and faster…

Computer Vision and Pattern Recognition · Computer Science 2018-04-05 Zhiwen Fan , Liyan Sun , Xinghao Ding , Yue Huang , Congbo Cai , John Paisley

Ultrasound Localization Microscopy (ULM) is a non-invasive technique that allows for the imaging of micro-vessels in vivo, at depth and with a resolution on the order of ten microns. ULM is based on the sub-resolution localization of…

Image and Video Processing · Electrical Eng. & Systems 2025-10-17 Brice Rauby , Paul Xing , Jonathan Porée , Maxime Gasse , Jean Provost

Portable ultra-low field MRI (ULF-MRI) systems operated in unshielded environments are susceptible to electromagnetic interference (EMI). Subject presence in the imaging region will lead to substantial noise increases, yet the dominant…

Signal Processing · Electrical Eng. & Systems 2026-02-26 Jiali He , Yamei Dai , Sheng Shen , Jiamin Wu , Zheng Xu

Fetal brain magnetic resonance imaging (MRI) offers exquisite images of the developing brain but is not suitable for anomaly screening. For this ultrasound (US) is employed. While expert sonographers are adept at reading US images, MR…

Computer Vision and Pattern Recognition · Computer Science 2019-09-19 Jianbo Jiao , Ana I. L. Namburete , Aris T. Papageorghiou , J. Alison Noble

Low-field magnetic resonance imaging (MRI) provides affordable access to diagnostic imaging but suffers from prolonged acquisition and limited image quality. Accelerated imaging can be achieved with k-space undersampling, while…

Computer Vision and Pattern Recognition · Computer Science 2026-03-03 Daniel Tweneboah Anyimadu , Mohammed M. Abdelsamea , Ahmed Karam Eldaly

Magnetic resonance imaging (MRI) is the cornerstone technique for diagnostic medicine, biology, and neuroscience. This imaging method is highly innovative, noninvasive and its impact continues to grow. It can be used for measuring changes…

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