Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Magnetic Resonance Imaging01:24

Magnetic Resonance Imaging

Magnetic resonance imaging (MRI) is a noninvasive medical imaging technique based on a phenomenon of nuclear physics discovered in the 1930s, in which matter exposed to magnetic fields and radio waves was found to emit radio signals. In 1970, a physician and researcher named Raymond Damadian noticed that malignant (cancerous) tissue gave off different signals than normal body tissue. He applied for a patent for the first MRI scanning device in clinical use by the early 1980s. The early MRI...
Imaging Studies IV: Magnetic Resonance Imaging01:27

Imaging Studies IV: Magnetic Resonance Imaging

Introduction:Magnetic Resonance Imaging, or MRI, can include a specialized imaging technique of the urinary system known as Magnetic Resonance Urography (MRU). This radiation-free technique uses strong magnetic fields and radio waves to produce detailed images with the help of a computer. MRU is particularly effective for visualizing fluid-filled structures like the kidneys, ureters, and bladder.Applications of MRI in the Genitourinary SystemKidneys and Ureters: MRI detects tumors, cysts,...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Surface substance loss of subsurface bovine enamel lesions after different steps of the resinous infiltration technique: a 3D topography analysis.

Odontology·2011
Same author

Expression of IL-23/Th17 pathway in a murine model of Coxsackie virus B3-induced viral myocarditis.

Virology journal·2011
Same author

Extracellular matrix peptides of Artemia cyst shell participate in protecting encysted embryos from extreme environments.

PloS one·2011
Same author

Therapeutic effect of carboxymethylated and quanternized chitosan on insulin resistance in high-fat-diet-induced rats and 3T3-L1 adipocytes.

Journal of biomaterials science. Polymer edition·2011
Same author

Role of reactive oxygen species in triptolide-induced apoptosis of renal tubular cells and renal injury in rats.

Journal of Huazhong University of Science and Technology. Medical sciences = Hua zhong ke ji da xue xue bao. Yi xue Ying De wen ban = Huazhong keji daxue xuebao. Yixue Yingdewen ban·2011
Same author

Chlorination and ortho-acetoxylation of 2-arylbenzoxazoles.

Organic & biomolecular chemistry·2011
Same journal

Hidden Data Recovery and Forecasting via Next-Generation Reservoir Computing With Multiscale Delay Selection.

IEEE transactions on neural networks and learning systems·2026
Same journal

CAFF-CIL: Causality-Aware Freedom Forgetting Approach for Class-Incremental Learning.

IEEE transactions on neural networks and learning systems·2026
Same journal

A Survey on Human-Centric Voice-Face Multimodal Learning.

IEEE transactions on neural networks and learning systems·2026
Same journal

Vision-Assisted Foundation Model for Solving Multitask Vehicle Routing Problems.

IEEE transactions on neural networks and learning systems·2026
Same journal

FP3O: Enabling Proximal Policy Optimization in Multiagent Cooperation With Parameter-Sharing Versatility.

IEEE transactions on neural networks and learning systems·2026
Same journal

Hierarchical Semantic Concept Modeling for Generalizable Myocardial Pathology Segmentation on Multisequence CMR Images.

IEEE transactions on neural networks and learning systems·2026
See all related articles

Related Experiment Video

Updated: Jul 1, 2026

Frequency Mixing Magnetic Detection Scanner for Imaging Magnetic Particles in Planar Samples
07:01

Frequency Mixing Magnetic Detection Scanner for Imaging Magnetic Particles in Planar Samples

Published on: June 9, 2016

Harmonic Autoencoding Framework for Multiple Tasks in Magnetic Particle Imaging Reconstruction.

Zechen Wei, Tao Zhu, Jiaxin Zhang

    IEEE Transactions on Neural Networks and Learning Systems
    |June 29, 2026
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces a novel framework using harmonic knowledge to improve magnetic particle imaging (MPI) reconstruction quality. The method enhances image fidelity by addressing noise and system matrix complexities, outperforming existing techniques.

    More Related Videos

    Optimized Setup and Protocol for Magnetic Domain Imaging with In Situ Hysteresis Measurement
    09:43

    Optimized Setup and Protocol for Magnetic Domain Imaging with In Situ Hysteresis Measurement

    Published on: November 7, 2017

    Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging
    15:48

    Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging

    Published on: December 15, 2014

    Related Experiment Videos

    Last Updated: Jul 1, 2026

    Frequency Mixing Magnetic Detection Scanner for Imaging Magnetic Particles in Planar Samples
    07:01

    Frequency Mixing Magnetic Detection Scanner for Imaging Magnetic Particles in Planar Samples

    Published on: June 9, 2016

    Optimized Setup and Protocol for Magnetic Domain Imaging with In Situ Hysteresis Measurement
    09:43

    Optimized Setup and Protocol for Magnetic Domain Imaging with In Situ Hysteresis Measurement

    Published on: November 7, 2017

    Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging
    15:48

    Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging

    Published on: December 15, 2014

    Area of Science:

    • Medical Imaging
    • Biomedical Engineering
    • Signal Processing

    Background:

    • Magnetic Particle Imaging (MPI) offers high resolution for magnetic particle distribution reconstruction.
    • Traditional MPI methods (X-space, system matrix) rely on accurate harmonic components, which are degraded by noise and system matrix collection challenges.
    • This degradation impacts reconstruction fidelity in MPI.

    Purpose of the Study:

    • To propose a unified framework leveraging harmonic knowledge to enhance MPI reconstruction quality.
    • To address limitations in harmonic accuracy caused by noise and system matrix complexities.
    • To improve the fidelity of MPI image reconstruction.

    Main Methods:

    • Developed a unified framework based on harmonic knowledge for MPI reconstruction.
    • Utilized autoencoders pretrained by restoring masked system matrices (SMs) to model harmonic relationships.
    • Transferred pretrained encoders for spectrum denoising and SM super-resolution tasks.

    Main Results:

    • The proposed framework consistently outperformed state-of-the-art (SOTA) methods on spectrum denoising and SM super-resolution tasks.
    • Demonstrated effectiveness using both simulated and publicly available MPI datasets.
    • Achieved marked improvements in reconstruction quality for both time and frequency domain MPI data.

    Conclusions:

    • The harmonic knowledge-based framework effectively enhances MPI reconstruction quality.
    • The approach successfully tackles challenges related to noise and system matrix complexities.
    • This method represents a significant advancement for improving MPI image fidelity and performance.