English
Related papers

Related papers: Navigator-Free Submillimeter Diffusion Imaging usi…

200 papers

Confocal and multiphoton microscopy are effective techniques to obtain high-contrast images of 2-D sections within bulk tissue. However, scattering limits their application to depths only up to ~1 millimeter. Multimode fibers make excellent…

Optics · Physics 2022-02-23 Sakshi Singh , Simon Labouesse , Rafael Piestun

Purpose: To rapidly obtain high isotropic-resolution T2 maps with whole-brain coverage and high geometric fidelity. Methods: A T2 blip-up/down echo planar imaging (EPI) acquisition with generalized Slice-dithered enhanced resolution…

Clinical adoption of multi-shot diffusion-weighted magnetic resonance imaging (multi-shot DWI) for body-wide tumor diagnostics is limited by severe motion-induced phase artifacts from respiration, peristalsis, and so on, compounded by…

Diffusion MRI is commonly performed using echo-planar imaging (EPI) due to its rapid acquisition time. However, the resolution of diffusion-weighted images is often limited by magnetic field inhomogeneity-related artifacts and blurring…

Image and Video Processing · Electrical Eng. & Systems 2023-09-26 Jaejin Cho , Yohan Jun , Xiaoqing Wang , Caique Kobayashi , Berkin Bilgic

Magnetic Resonance Imaging (MRI) produces excellent soft tissue contrast, albeit it is an inherently slow imaging modality. Promising deep learning methods have recently been proposed to reconstruct accelerated MRI scans. However, existing…

Image and Video Processing · Electrical Eng. & Systems 2024-04-17 Yilmaz Korkmaz , Tolga Cukur , Vishal M. Patel

Emerging 3D scene representations, such as Neural Radiance Fields (NeRF) and 3D Gaussian Splatting (3DGS), have demonstrated their effectiveness in Simultaneous Localization and Mapping (SLAM) for photo-realistic rendering, particularly…

Computer Vision and Pattern Recognition · Computer Science 2025-08-11 Peng Wang , Lingzhe Zhao , Yin Zhang , Shiyu Zhao , Peidong Liu

In recent years, there has been attention on leveraging the statistical modeling capabilities of neural networks for reconstructing sub-sampled Magnetic Resonance Imaging (MRI) data. Most proposed methods assume the existence of a…

Image and Video Processing · Electrical Eng. & Systems 2023-07-19 Charles Millard , Mark Chiew

Magnetic resonance imaging (MRI) provides high spatial resolution and excellent soft-tissue contrast without using harmful ionising radiation. Dynamic MRI is an essential tool for interventions to visualise movements or changes of the…

Medical Physics · Physics 2022-02-14 Soumick Chatterjee , Chompunuch Sarasaen , Georg Rose , Andreas Nürnberger , Oliver Speck

Diffusion MRI is a modern neuroimaging modality with a unique ability to acquire microstructural information by measuring water self-diffusion at the voxel level. However, it generates huge amounts of data, resulting from a large number of…

Image and Video Processing · Electrical Eng. & Systems 2023-04-06 Ikram Jumakulyyev , Thomas Schultz

Medical image segmentation has become an essential technique in clinical and research-oriented applications. Because manual segmentation methods are tedious, and fully automatic segmentation lacks the flexibility of human intervention or…

Image and Video Processing · Electrical Eng. & Systems 2019-04-24 Kevin Karsch , Qing He , Ye Duan

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

Current methods for searching brain MR images rely on text-based approaches, highlighting a significant need for content-based image retrieval (CBIR) systems. Directly applying 3D brain MR images to machine learning models offers the…

Computer Vision and Pattern Recognition · Computer Science 2025-09-22 Shuhei Tomoshige , Hayato Muraki , Kenichi Oishi , Hitoshi Iyatomi

In neuroimaging, generally, brain CT is more cost-effective and accessible imaging option compared to MRI. Nevertheless, CT exhibits inferior soft-tissue contrast and higher noise levels, yielding less precise structural clarity. In…

Image and Video Processing · Electrical Eng. & Systems 2024-07-09 Kyobin Choo , Youngjun Jun , Mijin Yun , Seong Jae Hwang

Quantitative magnetization transfer (qMT) imaging provides myelin-sensitive biomarkers, such as the pool size ratio (PSR), which is valuable for multiple sclerosis (MS) assessment. However, qMT requires specialized 20-30 minute scans. We…

Image and Video Processing · Electrical Eng. & Systems 2025-11-27 Jiacheng Wang , Hao Li , Xing Yao , Ahmad Toubasi , Taegan Vinarsky , Caroline Gheen , Joy Derwenskus , Chaoyang Jin , Richard Dortch , Junzhong Xu , Francesca Bagnato , Ipek Oguz

Simultaneous multi-slice (SMS) imaging accelerates MRI data acquisition by exciting multiple image slices simultaneously. Overlapping slices are then separated using a mathematical model. Several parameters used in SMS reconstruction impact…

We demonstrated the feasibility of using bSSFP acquisitions for off-resonance insensitive high-resolution [6,6'-2H2]-glucose deuterium metabolic imaging (DMI) studies in the healthy human brain at 9.4T. Balanced SSFP acquisitions have…

Stimulated Raman scattering (SRS) microscopy is a powerful label-free imaging technique that probes the vibrational response of chemicals with high specificity and sensitivity. High-power, quantum-enhanced SRS microscopes have been recently…

Magnetic resonance imaging (MRI) is a vital clinical diagnostic tool, yet its application is limited by prolonged scan times. Accelerating MRI reconstruction addresses this issue by reconstructing high-fidelity MR images from undersampled…

Computer Vision and Pattern Recognition · Computer Science 2025-11-10 Jingran Xu , Yuanyuan Liu , Yuanbiao Yang , Zhuo-Xu Cui , Jing Cheng , Qingyong Zhu , Nannan Zhang , Yihang Zhou , Dong Liang , Yanjie Zhu

Brain midline shift (MLS) is one of the most critical factors to be considered for clinical diagnosis and treatment decision-making for intracranial hemorrhage. Existing computational methods on MLS quantification not only require intensive…

Computer Vision and Pattern Recognition · Computer Science 2023-01-03 Shizhan Gong , Cheng Chen , Yuqi Gong , Nga Yan Chan , Wenao Ma , Calvin Hoi-Kwan Mak , Jill Abrigo , Qi Dou

Brillouin microscopy, which maps elastic modulus from the frequency shift of scattered light, has evolved to a faster speed for the investigation of rapid biomechanical changes. Impulsive stimulated Brillouin scattering (ISBS) spectroscopy…

Optics · Physics 2023-12-07 Jiarui Li , Taoran Le , Hongyuan Zhang , Haoyun Wei , Yan Li
‹ Prev 1 3 4 5 6 7 10 Next ›