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

Assessment of Diffusion and Perfusion01:17

Assessment of Diffusion and Perfusion

Understanding and evaluating diffusion and perfusion is critical in assessing a patient's respiratory and circulatory health. These processes play key roles in maintaining the body's internal environment, ensuring that tissues receive adequate oxygen while waste products are efficiently removed.
The Role of Diffusion in Respiration
Diffusion is the process by which molecules move from an area of higher concentration to an area of lower concentration. In the respiratory system, this principle...

You might also read

Related Articles

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

Sort by
Same author

Super-resolution deep learning reconstruction improves the depiction of peripancreatic arteries and image quality in pancreatic cancer CT.

Abdominal radiology (New York)·2026
Same author

Open and closed wedge osteotomes reduce the meniscus extrusion during walking with the knee adduction moment.

Journal of experimental orthopaedics·2026
Same author

Evaluation of super-resolution deep learning reconstruction on three-dimensional constructive interference in steady state for enhanced visualization of vestibular schwannomas.

Radiological physics and technology·2026
Same author

Improved delineation of the cystic artery using super-resolution deep learning reconstruction in contrast-enhanced abdominal computed tomography.

Radiological physics and technology·2026
Same author

Activities of Daily Living and Quality of Life After Orthopaedic Surgery for Haemophilic Arthropathy: A Scoping Review.

Haemophilia : the official journal of the World Federation of Hemophilia·2026
Same author

Characteristic genetic alterations associated with the partial deletion of chromosome 11 in mouse thymic lymphomas induced by high-linear energy transfer irradiation with carbon ions.

Carcinogenesis·2026
Same journal

Relationship between Vascular Tortuosity Rate and Atherosclerotic Risk Factors in Patients with Carotid Artery Stenosis.

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

CT- and MR Imaging-based Radiomics Approach to Differentiating Ovarian Mature and Immature Teratomas: Can MR Imaging-based Radiomics Predict the Histological Grade of Immature Teratomas?

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

Impact of Free Water Correction on the Mean Diffusivity of Glioblastoma is Regional and b-value Dependent: A Retrospective Study on Open-source Datasets.

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

Measuring Brain Stiffness in Normal Adults According to Age and Sex Using Virtual MR Elastography: A Preliminary Study.

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

MR Imaging/Ultrasound Fusion-Guided Biopsy and Primary Focal Therapy for Localized Prostate Cancer.

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

Feasibility of Ultrashort Echo Time MR Imaging for the Detection of Subclinical Achilles Enthesitis in Psoriasis and Psoriatic Arthritis.

Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine·2026
See all related articles
  1. Home
  3. Image Distortion Correction For Diffusion Mr Imaging Using A Transformer-based U-net.
  1. Home
  3. Image Distortion Correction For Diffusion Mr Imaging Using A Transformer-based U-net.

Related Experiment Video

Diffusion Imaging in the Rat Cervical Spinal Cord
10:46

Diffusion Imaging in the Rat Cervical Spinal Cord

Published on: April 7, 2015

Image Distortion Correction for Diffusion MR Imaging Using a Transformer-based U-Net.

Tsuyoshi Ueyama1,2, Erika Takahashi1, Naoto Fujita1

  • 1Institute of Pure and Applied Sciences, University of Tsukuba, Tsukuba, Ibaraki, Japan.

Magnetic Resonance in Medical Sciences : MRMS : an Official Journal of Japan Society of Magnetic Resonance in Medicine
|May 13, 2026

View abstract on PubMed

Summary
This summary is machine-generated.

A new Transformer-based U-Net, TransDisCo, effectively corrects distortions in diffusion-weighted imaging (DWI), outperforming existing U-Net methods. This advanced technique improves the accuracy of diffusion tensor imaging (DTI) and diffusion kurtosis imaging (DKI) analysis, even with complex patient data.

Keywords:
deep learningdiffusion-weighted imagedistortion correctionimage registration

More Related Videos

Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases
09:33

Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases

Published on: July 28, 2013

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

Related Experiment Videos

Diffusion Imaging in the Rat Cervical Spinal Cord
10:46

Diffusion Imaging in the Rat Cervical Spinal Cord

Published on: April 7, 2015

Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases
09:33

Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases

Published on: July 28, 2013

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

Area of Science:

  • Medical Imaging
  • Artificial Intelligence in Radiology
  • Neuroimaging Analysis

Background:

  • Diffusion-weighted imaging (DWI) is crucial for assessing brain microstructure.
  • Image distortions in DWI, particularly at high b-values, can impede accurate analysis.
  • Existing correction methods, like U-Net-based approaches, have limitations.

Purpose of the Study:

  • To evaluate TransDisCo, a Transformer-based U-Net, for clinical DWI distortion correction.
  • To compare TransDisCo's performance against a U-Net-based method (Synb0).
  • To assess performance across various DWI techniques, including high b-value DWI, DTI, and DKI, on clinical data with pathologies.

Main Methods:

  • Utilized a clinical DWI dataset from patients with brain tumors and cerebrovascular disorders.
  • Compared TransDisCo with Synb0, training both on T1-weighted and uncorrected DWI images.
  • Conducted an ablation study replacing Transformer blocks with convolutional blocks to assess the self-attention mechanism's contribution.
  • Evaluated corrected images and derived maps using Peak SNR, SSIM, MI, and Dice coefficients.

    • Main Results:

    • TransDisCo and Synb0 successfully corrected distortions in clinical DWI, DTI, and DKI data.
    • TransDisCo significantly outperformed Synb0 in quantitative metrics, preserving anatomical details and reducing artifacts, especially in pathological cases.
    • The ablation study confirmed that TransDisCo's self-attention mechanism enhanced performance over a CNN-based variant.

    Conclusions:

    • TransDisCo offers a promising advancement over conventional CNN-based and U-Net-based methods for DWI distortion correction.
    • The Transformer-based approach effectively handles diverse clinical pathologies and imaging conditions.
    • TransDisCo has the potential to enhance the precision and reliability of diffusion MRI applications.