Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Imaging Studies III: Computed Tomography

Imaging Studies III: Computed Tomography

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...

You might also read

Related Articles

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

Sort by

Same author

Quantitative investigation of dose accumulation errors from intra-fraction motion in MRgRT for prostate cancer.

Physics in medicine and biology·2021

Same author

Deep correction of breathing-related artifacts in real-time MR-thermometry.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society·2020

Same author

Anatomically-adaptive multi-modal image registration for image-guided external-beam radiotherapy.

Physics in medicine and biology·2020

Same author

Patch-based field-of-view matching in multi-modal images for electroporation-based ablations.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society·2020

Same author

Three-dimensional ultrashort echo time (3D UTE) MRI of Achilles tendon at 4.7T MRI with comparison to conventional sequences in an experimental murine model of spondyloarthropathy.

Journal of magnetic resonance imaging : JMRI·2018

Same author

Accelerating multi-modal image registration using a supervoxel-based variational framework.

Physics in medicine and biology·2018

Search research articles

Related Experiment Video

Updated: Jan 4, 2026

Three-Dimensional Phase Resolved Functional Lung Magnetic Resonance Imaging

Three-Dimensional Phase Resolved Functional Lung Magnetic Resonance Imaging

Published on: June 21, 2024

Optimizing 4D abdominal MRI: image denoising using an iterative back-projection approach.

B Denis de Senneville^1,2, C R Cardiet³, A J Trotier³

¹'Institut de Mathématiques de Bordeaux', University of Bordeaux/CNRS UMR 5251, 351 Cours de la Libération, 33405 Talence Cedex, France.

Physics in Medicine and Biology

|November 13, 2019

Summary

This study introduces an enhanced four-dimensional MRI (4D-MRI) method to reduce motion artifacts and improve signal-to-noise ratio (SNR) for better organ imaging and treatment planning.

More Related Videos

3D Imaging of Soft-Tissue Samples using an X-ray Specific Staining Method and Nanoscopic Computed Tomography

3D Imaging of Soft-Tissue Samples using an X-ray Specific Staining Method and Nanoscopic Computed Tomography

Published on: October 24, 2019

Author Spotlight: Using Hyperpolarized Xenon-129 MRI to Study Lung Diseases

Author Spotlight: Using Hyperpolarized Xenon-129 MRI to Study Lung Diseases

Published on: January 5, 2024

Related Experiment Videos

Last Updated: Jan 4, 2026

Three-Dimensional Phase Resolved Functional Lung Magnetic Resonance Imaging

Three-Dimensional Phase Resolved Functional Lung Magnetic Resonance Imaging

Published on: June 21, 2024

3D Imaging of Soft-Tissue Samples using an X-ray Specific Staining Method and Nanoscopic Computed Tomography

3D Imaging of Soft-Tissue Samples using an X-ray Specific Staining Method and Nanoscopic Computed Tomography

Published on: October 24, 2019

Author Spotlight: Using Hyperpolarized Xenon-129 MRI to Study Lung Diseases

Author Spotlight: Using Hyperpolarized Xenon-129 MRI to Study Lung Diseases

Published on: January 5, 2024

Area of Science:

Medical Imaging
Biomedical Engineering
Radiology

Background:

Four-dimensional MRI (4D-MRI) is valuable for organ exploration, target delineation, and treatment planning.
Increasing imaging frame rates reduces motion artifacts but often lowers signal-to-noise ratio (SNR), especially in abdominal imaging.
Optimizing 4D-MRI requires balancing spatial resolution, frame rate, and SNR.

Purpose of the Study:

To develop and evaluate a novel 4D-MRI method that enhances image quality by addressing SNR limitations.
To improve the utility of 4D-MRI for anatomical visualization and treatment planning in dynamic scenarios.
To achieve high-resolution, high-frame-rate 4D-MRI within clinically acceptable acquisition times.

Main Methods:

Proposed a 4D-MRI acquisition strategy prioritizing spatial resolution, frame number, isotropic voxels, and large field-of-view (FOV).
Employed an iterative back-projection (IBP) algorithm to retrospectively address the SNR penalty in reconstructed data.
Utilized deformable image registration (DIR) to compute 3D deformations and fused successive frames for image enhancement.
Incorporated a tuning parameter to adjust the trade-off between temporal resolution and precision.

Main Results:

The method successfully reduced motion artifacts and improved SNR in 4D-MRI data.
Quantitative evaluation on mouse thorax (free-breathing) demonstrated the method's effectiveness.
Improved 4D cardiac imaging was observed in mouse heart scans.
The approach is easily parallelizable, enabling optimized 4D-MRI within clinically acceptable durations.

Conclusions:

The developed 4D-MRI method effectively overcomes SNR limitations associated with high-resolution, high-frame-rate imaging.
This technique holds significant potential for enhancing organ exploration, target delineation, and treatment planning.
The parallelizable implementation facilitates the generation of optimized 4D-MRI in practical clinical settings.