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

Transfer RNA Synthesis02:36

Transfer RNA Synthesis

13.4K
One of the unique features of tRNA is the presence of modified bases. In some tRNAs, modified bases account for nearly 20% of the total bases in the molecule. Altogether, these unusual bases protect the tRNA from enzymatic degradation by RNases.
Each of these chemical modifications is carried by a specific enzyme, post-transcription. All of these enzymes have unique base and site-specificity. Methylation, the most common chemical modification, is carried by at least nine different enzymes, with...
13.4K
Transfer RNA Synthesis02:35

Transfer RNA Synthesis

3.7K
3.7K
Energy Transfer in Chemical Reactions01:16

Energy Transfer in Chemical Reactions

11.9K
Chemical reactions require sufficient energy to cause the matter to collide with enough precision and force that old chemical bonds can be broken and new ones formed. In general, kinetic energy is the form of energy powering any type of matter in motion. Imagine a person building a brick wall. The energy it takes to lift and place one brick on top of another is the kinetic energy—the energy matter possesses because of its motion. Once the wall is in place, it stores potential energy.
11.9K
Protein Networks02:26

Protein Networks

4.6K
An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
4.6K
Imaging Studies I: CT and MRI01:14

Imaging Studies I: CT and MRI

901
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...
901
Imaging Studies for Cardiovascular System V: CT01:28

Imaging Studies for Cardiovascular System V: CT

374
Cardiac computed tomography (CT) scanning is an advanced cardiac imaging technique that utilizes CT technology, with or without intravenous (IV) contrast, to produce accurate cross-sectional virtual slices of specific areas of the heart, coronary circulation, and major blood vessels such as the aorta, pulmonary veins, and arteries. The computer processes these slices to generate three-dimensional images. Multidetector CT (MDCT) is a rapid form of CT scanning that captures multiple slices...
374

You might also read

Related Articles

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

Sort by
Same author

Integrated widely targeted metabolomics and GC-IMS reveal dynamic flavor, nutritional, functional, and metabolic profiles in macadamia kernels during processing.

Food chemistry·2026
Same author

Parallel anterior cingulate cortex pathways underlie dissociable social and attentional outputs.

Science advances·2026
Same author

The neuroendocrine-appetite-mental health triangle in PMOS: Implications for GLP-1 receptor agonist therapy.

Neuroscience and biobehavioral reviews·2026
Same author

Risk Factors and Long-Term Survival Outcomes of Sagliker Syndrome After Parathyroidectomy in a Chinese Cohort.

Kidney international reports·2026
Same author

Autoimmune gastritis: a comprehensive review of pathophysiology, risk stratification, and management.

Frontiers in immunology·2026
Same author

<i>In vitro</i> and <i>in vivo</i> activity of omadacycline against <i>Mycobacterium tuberculosis</i>.

Frontiers in microbiology·2026

Related Experiment Video

Updated: Feb 7, 2026

Gene Regulation and Targeted Therapy in Gastric Cancer Peritoneal Metastasis: Radiological Findings from Dual Energy CT and PET/CT
10:28

Gene Regulation and Targeted Therapy in Gastric Cancer Peritoneal Metastasis: Radiological Findings from Dual Energy CT and PET/CT

Published on: January 22, 2018

11.6K

Multi-task interactive feature transfer network for dual-energy-like chest radiography image synthesis using CT data.

Wenting Xu1, Duhee Jeon1, Younghwan Lim1

  • 1Department of Radiation Convergence Engineering, Yonsei University, Wonju 26493, Republic of Korea.

Medical Engineering & Physics
|February 5, 2026
PubMed
Summary

This study introduces MIFT-Net, a novel deep learning model for synthesizing bone and bone-suppression images simultaneously from CT scans. This approach enhances diagnostic precision for lung abnormalities.

Keywords:
chest radiographycomputed tomographydual-energy-like image synthesisinteractive feature transfermulti-task learning

More Related Videos

Revised and Neuroimaging-Compatible Versions of the Dual Task Screen
07:52

Revised and Neuroimaging-Compatible Versions of the Dual Task Screen

Published on: October 5, 2020

4.0K
Transferring Cognitive Tasks Between Brain Imaging Modalities: Implications for Task Design and Results Interpretation in fMRI Studies
10:09

Transferring Cognitive Tasks Between Brain Imaging Modalities: Implications for Task Design and Results Interpretation in fMRI Studies

Published on: September 22, 2014

13.6K

Related Experiment Videos

Last Updated: Feb 7, 2026

Gene Regulation and Targeted Therapy in Gastric Cancer Peritoneal Metastasis: Radiological Findings from Dual Energy CT and PET/CT
10:28

Gene Regulation and Targeted Therapy in Gastric Cancer Peritoneal Metastasis: Radiological Findings from Dual Energy CT and PET/CT

Published on: January 22, 2018

11.6K
Revised and Neuroimaging-Compatible Versions of the Dual Task Screen
07:52

Revised and Neuroimaging-Compatible Versions of the Dual Task Screen

Published on: October 5, 2020

4.0K
Transferring Cognitive Tasks Between Brain Imaging Modalities: Implications for Task Design and Results Interpretation in fMRI Studies
10:09

Transferring Cognitive Tasks Between Brain Imaging Modalities: Implications for Task Design and Results Interpretation in fMRI Studies

Published on: September 22, 2014

13.6K

Area of Science:

  • Medical Imaging
  • Artificial Intelligence
  • Radiology

Background:

  • Accurate synthesis of bone and bone-suppression (B-S) images from chest radiographs is vital for diagnosing lung abnormalities.
  • Current deep learning methods often generate only one image type, limiting diagnostic scope.
  • Computed tomography (CT) data offers potential for synthesizing dual-energy-like chest images.

Purpose of the Study:

  • To introduce a novel multi-task interactive feature transfer network (MIFT-Net) for simultaneous synthesis of bone and B-S images.
  • To improve diagnostic precision in lung abnormality detection through enhanced image synthesis.
  • To validate the performance and transferability of MIFT-Net.

Main Methods:

  • Developed MIFT-Net, a multi-task network utilizing phased feature extraction and separation for bone and B-S image synthesis.
  • Employed a feature fusion strategy to enhance interaction between bone and B-S image generation tasks.
  • Utilized fast fuzzy C-means segmentation and pseudo x-ray techniques for training data generation from CT scans.

Main Results:

  • MIFT-Net demonstrated superior performance compared to existing methods on peak signal-to-noise ratio, structural similarity index measure, and root-mean-square error for both bone and B-S images.
  • The network achieved significant improvements in image quality metrics for synthesized bone and B-S images.
  • Feasibility studies showed MIFT-Net's robustness and transferability on clinical data.

Conclusions:

  • MIFT-Net effectively synthesizes high-quality bone and B-S images simultaneously from CT data.
  • The model shows potential for enhancing diagnostic accuracy and aiding clinical decision-making in lung abnormality detection.
  • MIFT-Net represents a significant advancement in medical image synthesis for radiological applications.