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

1.4K
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...
1.4K

You might also read

Related Articles

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

Sort by
Same author

A upper critical solution temperature- and synergistic antioxidant-responsive tremella polysaccharide hydrogel for enhancing diabetic wound healing.

Biomaterials advances·2026
Same author

A long noncoding RNA modulates anthocyanin biosynthesis in Camellia sinensis.

Communications biology·2026
Same author

Playgrounds as microbial interfaces: strategies to enhance soil microbiomes and support healthy childhoods.

mSystems·2026
Same author

Differential physiological responses and transcriptome co-expression networks of salt-tolerant and salt-sensitive foxtail millet (<i>Setaria italica</i> (L.)) under salt stress.

Frontiers in plant science·2026
Same author

A data-driven respiratory motion correction for pediatric DMSA renal SPECT imaging: A simulation study.

Medical physics·2026
Same author

Investigation of Attenuation Correction Methods for Dual-Gated Single Photon Emission Computed Tomography (DG-SPECT).

Bioengineering (Basel, Switzerland)·2025

Related Experiment Video

Updated: Dec 26, 2025

Retrospective Cardiac Gating with A Prototype Small-Animal X-ray Computed Tomograph
05:32

Retrospective Cardiac Gating with A Prototype Small-Animal X-ray Computed Tomograph

Published on: February 21, 2025

619

Improving Diagnostic Accuracy in Low-Dose SPECT Myocardial Perfusion Imaging With Convolutional Denoising Networks.

Albert Juan Ramon, Yongyi Yang, P Hendrik Pretorius

    IEEE Transactions on Medical Imaging
    |March 14, 2020
    PubMed
    Summary

    Deep learning (DL) effectively reduces noise in low-dose SPECT myocardial perfusion imaging (MPI). This approach improves diagnostic accuracy, allowing for significant dose reduction without compromising image quality.

    More Related Videos

    High-Resolution Cardiac Positron Emission Tomography/Computed Tomography for Small Animals
    11:09

    High-Resolution Cardiac Positron Emission Tomography/Computed Tomography for Small Animals

    Published on: December 16, 2022

    4.1K
    Oxygenation-sensitive Cardiac MRI with Vasoactive Breathing Maneuvers for the Non-invasive Assessment of Coronary Microvascular Dysfunction
    08:35

    Oxygenation-sensitive Cardiac MRI with Vasoactive Breathing Maneuvers for the Non-invasive Assessment of Coronary Microvascular Dysfunction

    Published on: August 17, 2022

    2.9K

    Related Experiment Videos

    Last Updated: Dec 26, 2025

    Retrospective Cardiac Gating with A Prototype Small-Animal X-ray Computed Tomograph
    05:32

    Retrospective Cardiac Gating with A Prototype Small-Animal X-ray Computed Tomograph

    Published on: February 21, 2025

    619
    High-Resolution Cardiac Positron Emission Tomography/Computed Tomography for Small Animals
    11:09

    High-Resolution Cardiac Positron Emission Tomography/Computed Tomography for Small Animals

    Published on: December 16, 2022

    4.1K
    Oxygenation-sensitive Cardiac MRI with Vasoactive Breathing Maneuvers for the Non-invasive Assessment of Coronary Microvascular Dysfunction
    08:35

    Oxygenation-sensitive Cardiac MRI with Vasoactive Breathing Maneuvers for the Non-invasive Assessment of Coronary Microvascular Dysfunction

    Published on: August 17, 2022

    2.9K

    Area of Science:

    • Medical Imaging
    • Artificial Intelligence
    • Radiology

    Background:

    • Reducing radiation dose in SPECT myocardial perfusion imaging (MPI) is a critical clinical challenge.
    • Elevated noise in low-dose SPECT-MPI can impair diagnostic accuracy.

    Purpose of the Study:

    • To investigate the efficacy of a deep learning (DL) approach for noise suppression in low-dose SPECT-MPI.
    • To evaluate the impact of DL denoising on diagnostic performance at various reduced radiation doses.

    Main Methods:

    • A supervised learning framework trained on paired full-dose (target) and low-dose (input) SPECT-MPI images from 1,052 subjects.
    • The DL model was evaluated with both filtered backprojection (FBP) and ordered-subsets expectation-maximization (OSEM) reconstruction methods.
    • Performance was assessed for perfusion-defect detection at dose levels of 1/2, 1/4, 1/8, and 1/16 of the full dose.

    Main Results:

    • DL significantly reduced noise in low-dose SPECT-MPI studies.
    • At 1/2 dose, DL achieved an AUC of 0.799, comparable to full-dose OSEM (AUC=0.801).
    • Even at 1/8 dose, DL-processed OSEM (AUC=0.770) outperformed full-dose FBP (AUC=0.755).

    Conclusions:

    • Deep learning denoising offers a promising method for noise reduction in low-dose SPECT-MPI.
    • DL enables substantial radiation dose reduction while maintaining or improving diagnostic accuracy.
    • This technique can enhance the clinical utility of SPECT-MPI by allowing for safer, lower-dose examinations.