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 III: Computed Tomography01:27

Imaging Studies III: Computed Tomography

585
DefinitionComputed Tomography (CT) of the genitourinary (GU) tract is a non-invasive imaging modality that utilizes X-rays and computer processing to generate detailed cross-sectional images of the urinary system, encompassing the kidneys, ureters, bladder, and adjacent structures such as the adrenal glands.PurposeCT scans of the GU tract serve several diagnostic and therapeutic purposes, including:Diagnosis of Urinary Tract Diseases: Detects kidney stones, tumors, cysts, and congenital...
585
Magnetic Resonance Imaging01:24

Magnetic Resonance Imaging

10.2K
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...
10.2K
Imaging Studies IV: Magnetic Resonance Imaging01:27

Imaging Studies IV: Magnetic Resonance Imaging

352
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,...
352
Imaging Studies for Cardiovascular System IV: CMRI01:21

Imaging Studies for Cardiovascular System IV: CMRI

492
Cardiovascular magnetic resonance imaging, or CMRI, is a non-invasive diagnostic test that employs a magnetic field and radiofrequency waves to create precise images of the heart and arteries. It provides comprehensive information about cardiac anatomy, function, perfusion, and tissue characterization without ionizing radiation.IndicationsCMRI diagnoses various heart conditions, including tissue damage from heart attacks, ischemic heart disease, myocarditis, aortic issues (tears, aneurysms,...
492
Imaging Studies I: CT and MRI01:14

Imaging Studies I: CT and MRI

1.1K
Introduction: MRI and CT scans are crucial advancements in medical imaging techniques, playing a vital role in diagnosing conditions related to the gastrointestinal (GI) system. Each scan serves distinct purposes, targets specific areas, and requires unique nursing duties.
Description of the Procedures
Computed Tomography (CT) scan:
Computed Tomography (CT) scans use X-ray technology to generate detailed images of bones, organs, and tissues. During the scan, the patient lies on a moving table...
1.1K

You might also read

Related Articles

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

Sort by
Same author

Enlarged Centrum Semiovale Perivascular Spaces as a Noninvasive Imaging Marker of Vascular Amyloid Deposition in Amyloid-Positive Individuals without Cerebral Amyloid Angiopathy-Related Hemorrhages.

Dementia and geriatric cognitive disorders extra·2026
Same author

Evolution of the complication profile of AF ablation in the pulsed field era.

Journal of cardiology·2026
Same author

Authors' reply to "Reconsidering prostate cancer screening: limitations of net survival and the primacy of overall survival as an endpoint".

Japanese journal of clinical oncology·2026
Same author

Plasma vitamin C levels are associated with brain structural networks on MRI: A large cohort study.

PloS one·2026
Same author

[Infection or Autoimmunity: Key Imaging Points for Differential Diagnosis].

Brain and nerve = Shinkei kenkyu no shinpo·2026
Same author

Microfluidic platforms for probing spontaneous functional recovery in hierarchically modular neuronal networks.

Communications engineering·2026

Related Experiment Video

Updated: Mar 20, 2026

Neuroimaging-Guided TMS–EEG for Real-Time Cortical Network Mapping
09:55

Neuroimaging-Guided TMS–EEG for Real-Time Cortical Network Mapping

Published on: June 13, 2025

3.0K

Visualization of the Trochlear Nerve Using Deep Learning-enhanced 3D T2-weighted MR Imaging at 3T.

Taiki Koshiishi1, Satoru Ide2, Yuka Ishimoto1

  • 1Department of Radiology, Hirosaki University Graduate School of Medicine, Hirosaki Aomori, Japan.

Magnetic Resonance in Medical Sciences : MRMS : an Official Journal of Japan Society of Magnetic Resonance in Medicine
|March 18, 2026
PubMed
Summary

Deep learning reconstruction with 3D T2-CUBE MRI significantly improves visualization of the trochlear nerve compared to standard 3D-FIESTA. This advanced technique enhances signal-to-noise ratio, offering better detail for cranial nerve imaging.

Keywords:
3D T2-weighted imagingAIR Recon DLCUBE sequencemagnetic resonance imagingtrochlear nerve

More Related Videos

Neuronavigation-guided Repetitive Transcranial Magnetic Stimulation for Aphasia
08:48

Neuronavigation-guided Repetitive Transcranial Magnetic Stimulation for Aphasia

Published on: May 6, 2016

12.9K
High-resolution Functional Magnetic Resonance Imaging Methods for Human Midbrain
10:06

High-resolution Functional Magnetic Resonance Imaging Methods for Human Midbrain

Published on: May 10, 2012

13.5K

Related Experiment Videos

Last Updated: Mar 20, 2026

Neuroimaging-Guided TMS–EEG for Real-Time Cortical Network Mapping
09:55

Neuroimaging-Guided TMS–EEG for Real-Time Cortical Network Mapping

Published on: June 13, 2025

3.0K
Neuronavigation-guided Repetitive Transcranial Magnetic Stimulation for Aphasia
08:48

Neuronavigation-guided Repetitive Transcranial Magnetic Stimulation for Aphasia

Published on: May 6, 2016

12.9K
High-resolution Functional Magnetic Resonance Imaging Methods for Human Midbrain
10:06

High-resolution Functional Magnetic Resonance Imaging Methods for Human Midbrain

Published on: May 10, 2012

13.5K

Area of Science:

  • Neuroradiology
  • Medical Imaging
  • Deep Learning Applications

Background:

  • Cranial nerve imaging at 3 Tesla (3T) MRI often uses 3D fast imaging employing steady-state acquisition (3D-FIESTA).
  • 3D-FIESTA has limitations in spatial resolution and tissue contrast for cranial nerves versus vascular structures.
  • The trochlear nerve, the smallest cranial nerve, presents unique imaging challenges due to its long intracranial course.

Purpose of the Study:

  • To evaluate 3D T2-weighted imaging (T2-CUBE) with deep learning-based reconstruction (DLR) for cranial nerve visualization.
  • To compare the efficacy of T2-CUBE with DLR against T2-CUBE without DLR and 3D-FIESTA.
  • To focus on the visualization of the trochlear nerve, including its various anatomical segments.

Main Methods:

  • Ten healthy male volunteers underwent 3T MRI scans.
  • Scans included T2-CUBE with and without DLR, and 3D-FIESTA.
  • Two neuroradiologists assessed trochlear nerve visualization across four segments using a 3-point scale.
  • Signal-to-noise ratio (SNR) of the pons (SNRPONS) and cerebrospinal fluid (SNRCSF) were calculated.

Main Results:

  • T2-CUBE with DLR achieved 100% visualization of all trochlear nerve segments, significantly outperforming other methods (P < 0.025).
  • T2-CUBE without DLR showed 67.5%-100% visualization, while 3D-FIESTA showed 32.5%-80% visualization, with no visualization in cavernous segments.
  • DLR increased SNRPONS by 1.8-2.5 times (14.1 vs 5.7) and SNRCSF by 1.8-2.5 times (31.8 vs 17.5) (P < 0.001).
  • T2-CUBE with DLR showed significantly higher SNRPONS than 3D-FIESTA (14.1 vs 6.4, P < 0.001).

Conclusions:

  • 3D T2-CUBE with DLR at 3T significantly enhances trochlear nerve visualization.
  • This technique shows potential for improved imaging of other cranial nerves and neurovascular compression.
  • T2-CUBE with DLR may become the new standard for cisternal imaging.