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

Imaging Studies VII: Vascular Imaging01:19

Imaging Studies VII: Vascular Imaging

373
DefinitionRenal angiography, also known as renal arteriography, is an imaging technique used to obtain a comprehensive view of blood flow and the vascular structure of blood vessels in the kidneys and surrounding areas.PurposeRenal angiography detects blood vessel abnormalities in the kidneys, such as aneurysms, stenosis, thrombosis, vascular tumors, and renal artery stenosis. It evaluates kidney function and guides interventional treatments like angioplasty or stent placement.Pre-Procedure...
373
Inhaled Medications01:23

Inhaled Medications

803
Inhaled medications are crucial for managing chronic obstructive pulmonary disease (COPD) and asthma. They are essential for effective treatment and control, ensuring optimal respiratory health and well-being. Inhaled medication delivers drugs directly to the lungs, providing a rapid onset of action and reducing systemic side effects compared to oral or injectable medications. Three primary types of inhalation devices are used to administer these medications: nebulizers, metered-dose inhalers...
803
X-ray Imaging01:24

X-ray Imaging

10.5K
German physicist Wilhelm Röntgen (1845–1923) was experimenting with electrical current when he discovered that a mysterious and invisible "ray" would pass through his flesh but leave an outline of his bones on a screen coated with a metal compound. In 1895, Röntgen made the first durable record of the internal parts of a living human: an "X-ray" image (as it came to be called) of his wife’s hand. Scientists worldwide quickly began their own experiments with...
10.5K
Brain Imaging01:14

Brain Imaging

747
Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans),  magnetic resonance imaging (MRI),  functional magnetic resonance imaging (fMRI), and Transcranial Magnetic...
747
Imaging Studies IV: Magnetic Resonance Imaging01:27

Imaging Studies IV: Magnetic Resonance Imaging

283
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,...
283
Magnetic Resonance Imaging01:24

Magnetic Resonance Imaging

9.7K
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...
9.7K

You might also read

Related Articles

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

Sort by
Same author

Unified Brain Surface and Volume Registration.

... International Conference on Learning Representations·2026
Same author

Cardio amyloid-artificial intelligence: advanced multi-modal screening for transthyretin cardiac amyloidosis in severe aortic stenosis patients.

European heart journal. Digital health·2026
Same author

Deep-learning-based Optimization of the Under-sampling Pattern in MRI.

IEEE transactions on computational imaging·2026
Same author

Accuracy and Variability of Spatial Localization of Infarct Core Predicted by CT Perfusion.

Journal of computer assisted tomography·2026
Same author

Learning-based non-linear registration robust to MRI-sequence contrast.

Proceedings of the International Society for Magnetic Resonance in Medicine ... Scientific Meeting and Exhibition. International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition·2026
Same author

The World Brain Health Forum: breaking silos for co-ordinated action.

Nature reviews. Neurology·2026

Related Experiment Video

Updated: Feb 6, 2026

Wideband Optical Detector of Ultrasound for Medical Imaging Applications
08:21

Wideband Optical Detector of Ultrasound for Medical Imaging Applications

Published on: May 11, 2014

11.8K

Medical Image Imputation from Image Collections.

Adrian V Dalca, Katherine L Bouman, William T Freeman

    IEEE Transactions on Medical Imaging
    |August 24, 2018
    PubMed
    Summary

    We developed a new algorithm to create high-resolution brain MRI images from sparse scans. This method enhances anatomical detail, enabling advanced computational analysis previously impossible with low-quality scans.

    More Related Videos

    Multiple-mouse Neuroanatomical Magnetic Resonance Imaging
    09:08

    Multiple-mouse Neuroanatomical Magnetic Resonance Imaging

    Published on: February 27, 2011

    16.4K
    Candida albicans Biofilm Development on Medically-relevant Foreign Bodies in a Mouse Subcutaneous Model Followed by Bioluminescence Imaging
    08:31

    Candida albicans Biofilm Development on Medically-relevant Foreign Bodies in a Mouse Subcutaneous Model Followed by Bioluminescence Imaging

    Published on: January 27, 2015

    13.5K

    Related Experiment Videos

    Last Updated: Feb 6, 2026

    Wideband Optical Detector of Ultrasound for Medical Imaging Applications
    08:21

    Wideband Optical Detector of Ultrasound for Medical Imaging Applications

    Published on: May 11, 2014

    11.8K
    Multiple-mouse Neuroanatomical Magnetic Resonance Imaging
    09:08

    Multiple-mouse Neuroanatomical Magnetic Resonance Imaging

    Published on: February 27, 2011

    16.4K
    Candida albicans Biofilm Development on Medically-relevant Foreign Bodies in a Mouse Subcutaneous Model Followed by Bioluminescence Imaging
    08:31

    Candida albicans Biofilm Development on Medically-relevant Foreign Bodies in a Mouse Subcutaneous Model Followed by Bioluminescence Imaging

    Published on: January 27, 2015

    13.5K

    Area of Science:

    • Medical Imaging
    • Computational Anatomy
    • Artificial Intelligence

    Background:

    • Clinical brain MRI scans often have large inter-slice spacing due to acquisition time constraints.
    • Sparse scans limit the capture of anatomical details, hindering computational analysis.
    • Existing super-resolution methods struggle with generalizing to diverse clinical image datasets.

    Purpose of the Study:

    • To develop a generative model for enhancing resolution in undersampled brain MRI scans.
    • To enable the application of existing image analysis algorithms to sparse clinical MRI data.
    • To improve the quality of clinical brain MRI scans for better anatomical analysis.

    Main Methods:

    • Introduced a generative model to capture fine-scale anatomical structures across subjects.
    • Developed an algorithm to fill missing data in MRI scans with large inter-slice spacing.
    • Utilized a generative adversarial network approach for image synthesis.

    Main Results:

    • The proposed method significantly outperforms state-of-the-art upsampling super-resolution techniques.
    • Generated high-resolution, anatomically plausible images consistent with clinical brain MRI scans.
    • Demonstrated improved performance in facilitating subsequent image analysis.

    Conclusions:

    • The developed algorithm effectively addresses the challenge of sparse MRI data.
    • This approach enhances the utility of clinical MRI scans for research and diagnostics.
    • The method promises to unlock new possibilities for computational analysis of undersampled neuroimaging data.