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

You might also read

Related Articles

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

Sort by
Same author

Targeted co-delivery of docetaxel and plumbagin via oxidative priming enhances chemoradiotherapy in non-small cell lung cancer.

Materials today. Bio·2026
Same author

Near-bank vegetation patches reorganize hyporheic exchange pathways and spatiotemporal organization in near-bank zones.

Journal of environmental management·2026
Same author

Bispecific antibody engineered extracellular vesicles redirect T cells to prevent postoperative epidural fibrosis.

Nature communications·2026
Same author

Editorial: Deep learning in brain-computer interfaces.

Frontiers in human neuroscience·2026
Same author

Decreased CD8+ T Lymphocytes is an Independent Influencing Factor for Persistent HR-HPV Infection.

International journal of women's health·2026
Same author

A Novel Peptide Derived from Sea Buckthorn Leaves: Enzymatic Preparation, Dual Inhibitory Activity Against α-Glucosidase and DPP-IV, and Its Molecular Mechanism.

Foods (Basel, Switzerland)·2026
Same journal

MUST: Multi-style virtual staining with incomplete pairs.

IEEE transactions on medical imaging·2026
Same journal

BrainCL: Transformer-Based Brain Network Contrastive Learning with Multi-Order Topology and Salience Masking.

IEEE transactions on medical imaging·2026
Same journal

LLM-enhanced Neuron Segmentation and Reconstruction in Complex Mouse Brain Images.

IEEE transactions on medical imaging·2026
Same journal

Matrixed-Spectrum Decomposition Accelerated Linear Boltzmann Transport Equation Solver for Fast Scatter Correction in Multi-Spectral CT.

IEEE transactions on medical imaging·2026
Same journal

The Ritz Adjoint Method for MRI Pulse Design.

IEEE transactions on medical imaging·2026
Same journal

Physiology-guided Self-supervised Learning for Simultaneous Dual-Tracer PET Separation.

IEEE transactions on medical imaging·2026
See all related articles

Related Experiment Video

Updated: Sep 20, 2025

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

3.9K

A Fast Convergent Ordered-Subsets Algorithm With Subiteration-Dependent Preconditioners for PET Image Reconstruction.

Jianfeng Guo, C Ross Schmidtlein, Andrzej Krol

    IEEE Transactions on Medical Imaging
    |June 9, 2022
    PubMed
    Summary
    This summary is machine-generated.

    New subiteration-dependent preconditioners (SDPs) significantly accelerate positron emission tomography (PET) image reconstruction. These SDPs, integrated with block sequential regularized expectation maximization (BSREM), achieve 35%-50% faster convergence for improved PET imaging.

    More Related Videos

    Author Spotlight: Enhanced Quantification of Cardiovascular Calcification Progression for Longitudinal Micro PET/CT Studies in Small Research Animals
    08:02

    Author Spotlight: Enhanced Quantification of Cardiovascular Calcification Progression for Longitudinal Micro PET/CT Studies in Small Research Animals

    Published on: November 15, 2024

    728
    Whole-body PET/MRI of Pediatric Patients: The Details That Matter
    10:02

    Whole-body PET/MRI of Pediatric Patients: The Details That Matter

    Published on: December 19, 2017

    14.7K

    Related Experiment Videos

    Last Updated: Sep 20, 2025

    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

    3.9K
    Author Spotlight: Enhanced Quantification of Cardiovascular Calcification Progression for Longitudinal Micro PET/CT Studies in Small Research Animals
    08:02

    Author Spotlight: Enhanced Quantification of Cardiovascular Calcification Progression for Longitudinal Micro PET/CT Studies in Small Research Animals

    Published on: November 15, 2024

    728
    Whole-body PET/MRI of Pediatric Patients: The Details That Matter
    10:02

    Whole-body PET/MRI of Pediatric Patients: The Details That Matter

    Published on: December 19, 2017

    14.7K

    Area of Science:

    • Medical Imaging
    • Computational Science
    • Nuclear Medicine

    Background:

    • Positron Emission Tomography (PET) imaging relies on iterative algorithms for image reconstruction.
    • Existing methods like block sequential regularized expectation maximization (BSREM) with relative difference prior (RDP) are clinically used but can be slow.
    • Convergence speed is crucial for efficient clinical workflows and timely diagnosis.

    Purpose of the Study:

    • To develop and evaluate novel subiteration-dependent preconditioners (SDPs) for accelerating PET image reconstruction.
    • To improve the convergence rate of BSREM algorithms using SDPs, particularly with RDP regularization.
    • To compare the performance of SDP-BSREM against conventional BSREM and commercial implementations.

    Main Methods:

    • Designed two SDPs tailored to image characteristics (smooth vs. variable regions) within the RDP-regularized BSREM framework.
    • Proved the global convergence of the proposed SDP-BSREM algorithms.
    • Validated performance using simulated and clinical PET data, including phantom studies with various regions.

    Main Results:

    • SDP-BSREM algorithms demonstrated substantially improved convergence rates compared to conventional BSREM and Q.Clear.
    • Achieved 35%-50% faster convergence to the same objective function value.
    • SDP-BSREM algorithms reached reference image values more rapidly in phantom studies.

    Conclusions:

    • SDPs offer a significant advancement in accelerating PET image reconstruction.
    • The proposed SDP-BSREM approach provides a faster and potentially more efficient alternative for clinical PET imaging.
    • This method enhances the speed of achieving high-quality reconstructed PET images.