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

Electron Microscope Tomography and Single-particle Reconstruction01:07

Electron Microscope Tomography and Single-particle Reconstruction

Transmission electron microscopy (TEM) can be used to determine the 3D structure of biological samples with the help of techniques such as electron microscope tomography and single-particle reconstruction. While single-particle reconstruction can examine macromolecules and macromolecular complexes in vitro conditions only, tomography permits the study of cell components or small cells in vivo.
Electron Tomography
Electron tomography can be performed either in TEM or STEM (scanning transmission...

You might also read

Related Articles

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

Sort by
Same author

Correction to: Deep learning-based motion correction: cardiac motion artifact and image quality improvements on chest CT.

Japanese journal of radiology·2026
Same author

Japanese Consensus Document on NexoBrid<sup>®</sup>, a Burn Eschar Removal Agent.

European burn journal·2026
Same author

Deep learning-based motion correction: cardiac motion artifact and image quality improvements on chest CT.

Japanese journal of radiology·2026
Same author

Clinical and molecular characterization of thrombocytosis in transient abnormal myelopoiesis.

Leukemia·2026
Same author

Reverse Encoding Distortion Correction of Female Pelvic Diffusion-weighted Imaging on a 1.5-T MR System: Influence on Image Quality and Apparent Diffusion Coefficient Measurements for Both In Vitro and In Vivo Studies.

Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine·2026
Same author

Comparing the Perfusion and Functional Assessment Capabilities of Electrocardiography- and Photoplethysmography-monitored Phase-resolved Functional Lung and Dynamic Contrast-enhanced Perfusion MR Imaging.

Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine·2026

Related Experiment Video

Updated: Jun 27, 2026

Enhancing Electrode Location Assessment in Cochlear Implantation via Computed Tomography Image Fusion
03:58

Enhancing Electrode Location Assessment in Cochlear Implantation via Computed Tomography Image Fusion

Published on: January 17, 2025

Deep Learning Reconstruction Specialized for Inner Ear: Improving Image Quality and Anatomical Structure

Masahiko Nomura1,2, Hirona Kimata3, Yuya Ito3

  • 1Department of Diagnostic Radiology, School of Medicine, Fujita Health University, 1-98 Dengakugakubo, Kutsukake-cho, Toyoake 470-1192, Aichi, Japan.

Diagnostics (Basel, Switzerland)
|June 26, 2026
PubMed
Summary

Deep learning reconstruction (DLR) offers superior image quality for inner ear CT scans compared to hybrid iterative reconstruction (IR). While DLR enhances visualization of anatomical details, diagnostic performance remains similar for both methods in otologic disease evaluation.

Keywords:
artificial intelligencecomputed tomographyearreconstructionx-ray

More Related Videos

Testing a Cochlear Implant Electrode Insertion Training System for Optimal Electrode Array Placement in Different Inner Ear Anatomies
07:34

Testing a Cochlear Implant Electrode Insertion Training System for Optimal Electrode Array Placement in Different Inner Ear Anatomies

Published on: February 6, 2026

Digital Hybrid Model Preparation for Virtual Planning of Reconstructive Dentoalveolar Surgical Procedures
09:10

Digital Hybrid Model Preparation for Virtual Planning of Reconstructive Dentoalveolar Surgical Procedures

Published on: August 5, 2021

Related Experiment Videos

Last Updated: Jun 27, 2026

Enhancing Electrode Location Assessment in Cochlear Implantation via Computed Tomography Image Fusion
03:58

Enhancing Electrode Location Assessment in Cochlear Implantation via Computed Tomography Image Fusion

Published on: January 17, 2025

Testing a Cochlear Implant Electrode Insertion Training System for Optimal Electrode Array Placement in Different Inner Ear Anatomies
07:34

Testing a Cochlear Implant Electrode Insertion Training System for Optimal Electrode Array Placement in Different Inner Ear Anatomies

Published on: February 6, 2026

Digital Hybrid Model Preparation for Virtual Planning of Reconstructive Dentoalveolar Surgical Procedures
09:10

Digital Hybrid Model Preparation for Virtual Planning of Reconstructive Dentoalveolar Surgical Procedures

Published on: August 5, 2021

Area of Science:

  • Radiology and Imaging
  • Medical Image Processing
  • Otolaryngology

Background:

  • High-definition CT (HDCT) with super-high-resolution (SHR) mode is used for detailed ear imaging.
  • Comparing novel deep learning reconstruction (DLR) with established hybrid iterative reconstruction (IR) is crucial for optimizing diagnostic capabilities.

Purpose of the Study:

  • To directly compare the image reconstruction capabilities of DLR versus hybrid IR for the inner ear on HDCT.
  • To evaluate the impact of these reconstruction methods on the visualization of anatomical structures in patients with and without otologic diseases.

Main Methods:

  • 140 patients (32 with otologic diseases) underwent HDCT imaging.
  • 280 ears were analyzed for signal-to-noise ratios (SNRs) and visualization of anatomical landmarks.
  • Statistical comparison included paired t-tests/Wilcoxon signed-rank tests and receiver operating characteristic (ROC) analysis.

Main Results:

  • DLR demonstrated significantly higher SNRs compared to hybrid IR (p < 0.05).
  • Overall image quality and visualization of anatomical structures were significantly superior with DLR (p < 0.05).
  • Diagnostic performance, assessed by ROC analysis, showed no significant difference between DLR and hybrid IR (p = 0.18).

Conclusions:

  • DLR exhibits superior potential for enhancing image quality and anatomical visualization in middle and inner ear HDCT.
  • Despite improved image quality, DLR did not significantly alter diagnostic performance compared to hybrid IR in this study.
  • DLR represents a promising advancement for high-resolution CT imaging of the temporal bone.