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Related papers: T2-weighted Spine Imaging using a Single-Shot Turb…

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We introduce wave encoded acquisition and reconstruction techniques for highly accelerated echo planar imaging (EPI) with reduced g-factor penalty and image artifacts. Wave-EPI involves playing sinusoidal gradients during the EPI readout…

Image and Video Processing · Electrical Eng. & Systems 2021-06-04 Jaejin Cho , Congyu Liao , Qiyuan Tian , Zijing Zhang , Jinmin Xu , Wei-Ching Lo , Benedikt A. Poser , V. Andrew Stenger , Jason Stockmann , Kawin Setsompop , Berkin Bilgic

Ultrasound spine imaging technique has been applied to the assessment of spine deformity. However, manual measurements of scoliotic angles on ultrasound images are time-consuming and heavily rely on raters experience. The objectives of this…

Image and Video Processing · Electrical Eng. & Systems 2022-04-21 Zhichao Liu , Liyue Qian , Wenke Jing , Desen Zhou , Xuming He , Edmond Lou , Rui Zheng

Diffusion MRI (dMRI) is a valuable imaging technique to study the brain in vivo. However, the resolution of dMRI is limited by the low signal-to-noise ratio (SNR) of this technique. Various acquisition strategies have been developed to…

Medical Physics · Physics 2023-05-30 Sajjad Feizollah , Christine L. Tardif

We propose an approach for single spin measurement. Our method uses techniques from the theory of quantum cellular automata to correlate a large amount of ancillary spins to the one to be measured. It has the distinct advantage of being…

Quantum Physics · Physics 2011-11-09 Carlos A. Perez-Delgado , Michele Mosca , Paola Cappellaro , David G. Cory

In contrast with imaging using position-resolving cameras, single-pixel imaging uses a bucket detector along with spatially structured illumination for image recovery. This emerging imaging technique is a promising candidate for a broad…

Optically active solid-state spin systems play an important role in quantum technologies. We introduce a new readout scheme, termed Time to Space (T2S) encoding which decouples spin manipulation from optical readout both temporally and…

The Australian Astronomical Observatory's 'tilting spine' fibre positioning technology has been redeveloped to provide superior performance in a smaller package. The new design offers demonstrated closed-loop positioning errors of 2.8…

Instrumentation and Methods for Astrophysics · Physics 2016-12-07 James Gilbert , Gavin Dalton

Quantifying muscle tissue properties is crucial for understanding pathophysiological changes occurring in skeletal muscle (SM). In particular, T2 relaxation and diffusion MRI (dMRI) are promising techniques. However, typical methods measure…

Spin-echo functional MRI (SE-fMRI) has the potential to improve spatial specificity when compared to gradient-echo fMRI. However, high spatiotemporal resolution SE-fMRI with large slice-coverage is challenging as SE-fMRI requires a long…

Single-pixel imaging (SPI) exhibits cost-effectiveness, broad spectrum, and stable sub-Nyquist sampling reconstruction, enabling applications across diverse imaging fields.However, due to the inherent reconstruction mechanism, SPI is not…

Optics · Physics 2025-04-18 Shao Chongwu , Cao Yue , Zhao Qing , Yao Xuri

Purpose: To develop a single-shot multi-slice T1 mapping method by combing simultaneous multi-slice (SMS) excitations, single-shot inversion-recovery (IR) radial fast low-angle shot (FLASH) and a nonlinear model-based reconstruction method.…

Objective: The spinous process angle (SPA) is one of the essential parameters to denote three-dimensional (3-D) deformity of spine. We propose an automatic segmentation method based on Stacked Hourglass Network (SHN) to detect the spinous…

Image and Video Processing · Electrical Eng. & Systems 2021-05-25 Hong-Ye Zeng , Song-Han Ge , Yu-Chong Gao , De-Sen Zhou , Kang Zhou , Xu-Ming He , Edmond Lou , Rui Zheng

Ultrafast single-shot imaging techniques now reach frame rates of tens of tera-frame-per-second (Tfps) and long sequence depths but are often too complex for large-scale use, both in terms of image acquisition and reconstruction. We propose…

This study introduces a diffusion-based framework for robust and accurate segmenton of vertebrae, intervertebral discs (IVDs), and spinal canal from Magnetic Resonance Imaging~(MRI) scans of patients with low back pain (LBP), regardless of…

Image and Video Processing · Electrical Eng. & Systems 2024-11-20 Maria Monzon , Thomas Iff , Ender Konukoglu , Catherine R. Jutzeler

Image segmentation in the medical domain is a challenging field owing to poor resolution and limited contrast. The predominantly used conventional segmentation techniques and the thresholding methods suffer from limitations because of heavy…

Computer Vision and Pattern Recognition · Computer Science 2016-05-10 Jiyo. S. Athertya , G. Saravana Kumar

Compressed sensing can decrease scanning transmission electron microscopy electron dose and scan time with minimal information loss. Traditionally, sparse scans used in compressed sensing sample a static set of probing locations. However,…

Machine Learning · Computer Science 2021-03-12 Jeffrey M. Ede

Purpose: To develop a 3D distortion-free reduced-FOV diffusion-prepared GRE sequence and demonstrate its in-vivo application for diffusion imaging of the spinal cord in healthy volunteers. Methods: A 3D multi-shot reduced-FOV…

We combined a spin-resolved photoemission spectrometer with a high-harmonic generation (HHG) laser source in order to perform spin-, time- and angle-resolved photoemission spectroscopy (STARPES) experiments on the transition metal…

UTE (Ultrashort Echo Time) and ZTE (Zero Echo Time) sequences have been developed to detect short T2 relaxation signals coming from regions that are unable to be detected by conventional MRI methods. Due to the high dipole-dipole…

Medical Physics · Physics 2024-01-17 Soham Sharad More , Xiaoliang Zhang

Estimating multi-component T2 relaxation distributions from Multi-Echo Spin Echo (MESE) MRI is a severely ill-posed inverse problem, traditionally solved using regularized non-negative least squares (NNLS). In abdominal imaging,…

Machine Learning · Computer Science 2026-03-17 Hadas Ben Atya , Nicole Abramenkov , Noa Mashiah , Luise Brock , Daphna Link Sourani , Ram Weiss , Moti Freiman