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

6.7K
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...
6.7K

You might also read

Related Articles

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

Sort by
Same author

Prenatal sexual dimorphism in human pelvic tilt at the onset of fetal ossification.

Developmental dynamics : an official publication of the American Association of Anatomists·2026
Same author

Morphogenesis of the Extraocular Muscles During the Human Embryonic and Early Fetal Periods.

Congenital anomalies·2026
Same author

Determinants of midgut loop formation: Influence of midgut length, diameter, and location.

Developmental dynamics : an official publication of the American Association of Anatomists·2026
Same author

Detection of Muscle Fiber Orientation During Human Tongue Development: Analysis Using Diffusion Tensor Imaging.

NMR in biomedicine·2026
Same author

Two-decade trends in prenatal genetic testing in Japan.

Journal of human genetics·2026
Same author

Morphogenetic development of trochlear groove and thigh muscles from embryo to fetus in humans.

PloS one·2026

Related Experiment Video

Updated: Sep 10, 2025

Human Fetal Blood Flow Quantification with Magnetic Resonance Imaging and Motion Compensation
06:56

Human Fetal Blood Flow Quantification with Magnetic Resonance Imaging and Motion Compensation

Published on: January 7, 2021

2.5K

Compressed Sensing Reconstruction with Zero-Shot Self-Supervised Learning for High-Resolution MRI of Human Embryos.

Kazuma Iwazaki1, Naoto Fujita1, Shigehito Yamada2

  • 1Institute of Pure and Applied Sciences, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki 305-8573, Japan.

Tomography (Ann Arbor, Mich.)
|August 27, 2025
PubMed
Summary

Zero-shot self-supervised learning (ZS-SSL) significantly reduces scan time for high-resolution MRI of human embryos. This deep learning method maintains spatial resolution at acceleration factor 4, enabling efficient data acquisition for developmental atlases.

Keywords:
compressed sensingdeep learning reconstructionhigh-resolution MR microscopyhuman embryospatial resolution

More Related Videos

Author Spotlight: Advancing 3D Cytoarchitecture Analysis - Rapid Volumetric Reconstruction of the Human Brain
06:52

Author Spotlight: Advancing 3D Cytoarchitecture Analysis - Rapid Volumetric Reconstruction of the Human Brain

Published on: January 26, 2024

2.3K
Whole-Brain Single-Cell Imaging and Analysis of Intact Neonatal Mouse Brains Using MRI, Tissue Clearing, and Light-Sheet Microscopy
08:49

Whole-Brain Single-Cell Imaging and Analysis of Intact Neonatal Mouse Brains Using MRI, Tissue Clearing, and Light-Sheet Microscopy

Published on: August 1, 2022

3.7K

Related Experiment Videos

Last Updated: Sep 10, 2025

Human Fetal Blood Flow Quantification with Magnetic Resonance Imaging and Motion Compensation
06:56

Human Fetal Blood Flow Quantification with Magnetic Resonance Imaging and Motion Compensation

Published on: January 7, 2021

2.5K
Author Spotlight: Advancing 3D Cytoarchitecture Analysis - Rapid Volumetric Reconstruction of the Human Brain
06:52

Author Spotlight: Advancing 3D Cytoarchitecture Analysis - Rapid Volumetric Reconstruction of the Human Brain

Published on: January 26, 2024

2.3K
Whole-Brain Single-Cell Imaging and Analysis of Intact Neonatal Mouse Brains Using MRI, Tissue Clearing, and Light-Sheet Microscopy
08:49

Whole-Brain Single-Cell Imaging and Analysis of Intact Neonatal Mouse Brains Using MRI, Tissue Clearing, and Light-Sheet Microscopy

Published on: August 1, 2022

3.7K

Area of Science:

  • Medical Imaging
  • Developmental Biology
  • Artificial Intelligence

Background:

  • High-resolution magnetic resonance imaging (MRI) is crucial for studying human embryo development.
  • Long scan times can limit imaging feasibility due to specimen viability and data acquisition constraints.
  • Deep learning reconstruction methods offer potential for accelerating MRI acquisition.

Purpose of the Study:

  • To evaluate the efficacy of zero-shot self-supervised learning (ZS-SSL) in reducing scan time for high-resolution human embryo MRI.
  • To assess if ZS-SSL can maintain spatial resolution at accelerated scan rates compared to conventional methods.
  • To determine the optimal acceleration factors for ZS-SSL in this application.

Main Methods:

  • Simulations using numerical phantoms to assess spatial resolution at various acceleration factors (AF) and signal-to-noise ratios (SNR).
  • Quantification of resolution using the Sparrow criterion and comparison of ZS-SSL with compressed sensing (CS).
  • Experimental high-resolution MRI (30 μm)³ of a human embryo (Carnegie stage 21) using retrospective and prospective undersampling at AF = 4 and 8.

Main Results:

  • ZS-SSL demonstrated superior spatial resolution preservation compared to CS, especially at lower SNRs.
  • At AF = 4, ZS-SSL achieved image quality comparable to fully sampled data.
  • Experimental imaging at AF = 4 allowed clear visualization of embryonic structures; AF = 8 resulted in reduced clarity.

Conclusions:

  • ZS-SSL enables substantial scan time reduction in high-resolution human embryo MRI while preserving spatial resolution at AF = 4 (SNR > 15).
  • This acceleration-image quality trade-off is advantageous for time-sensitive studies and limited specimen availability.
  • The method facilitates efficient ultra-high-resolution data acquisition, supporting the creation of detailed developmental atlases.