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

Search research articles

Related Experiment Video

Updated: Jul 16, 2026

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

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

Published on: December 19, 2017

Image optimization for low-dose ¹⁸F-FDG breast PET/MRI using deep learning: a pilot study.

Quinton J Keigley¹, Leah C Henze Bancroft¹, Kelley Salem¹

¹Department of Radiology, University of Wisconsin School of Medicine and Public Health, 600 Highland Avenue, Madison, WI, 53792, USA.

|July 15, 2026

Summary

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

From Oceans to Orbit: Radiography at the Threshold of a New Human Environment.

Radiology·2026

Same author

Implementation of a Multidisciplinary Radiopharmaceutical Dosimetry Program: Key Practical Considerations and Challenges.

Practical radiation oncology·2026

Same author

Evaluation of Baseline and Interim-Therapy PET Features for Prognostication in High-Risk Pediatric Hodgkin Lymphoma: A Retrospective Analysis of the AHOD1331 Trial.

Journal of nuclear medicine : official publication, Society of Nuclear Medicine·2026

Same author

A vendor-neutral functional MRI acquisition protocol for multi-site studies.

Aperture neuro·2026

Same author

The Potential Expertise Paradox in AI-Assisted Radiology.

Radiology·2026

Same author

Improved attenuation correction registration for FDG PET/CT images using data-driven gating (DDG)-based motion match.

EJNMMI physics·2026

Low-dose 18F-FDG breast PET/MRI with denoising achieves acceptable image quality and lesion conspicuity. This approach may facilitate wider clinical use of this advanced breast cancer imaging technique.

Area of Science:

Medical Imaging
Nuclear Medicine
Oncology

Background:

Positron emission tomography with magnetic resonance imaging (PET/MRI) offers noninvasive molecular characterization for breast cancer.
Improving diagnostic accuracy, staging, and treatment assessment are key goals for personalized breast cancer care.
Reducing radiation dose in 18F-FDG PET/MRI is crucial for broader clinical adoption.

Purpose of the Study:

To evaluate the diagnostic image quality and lesion conspicuity of low-dose 18F-FDG breast PET/MRI.
To assess the impact of a deep learning-based denoising algorithm on image quality and radiotracer uptake.
To compare simulated low-dose (SLD) and denoised (DN) PET/MRI datasets with full-dose images.

Main Methods:

A pilot study analyzed 23 women with primary invasive breast cancer undergoing 18F-FDG breast PET/MRI.

Keywords:

Breast cancer Denoising Dose reduction Image quality Reader study

More Related Videos

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

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

Published on: December 16, 2022

Visualization and Quantification of Brown and Beige Adipose Tissues in Mice using [18F]FDG Micro-PET/MR Imaging

Visualization and Quantification of Brown and Beige Adipose Tissues in Mice using [¹⁸F]FDG Micro-PET/MR Imaging

Published on: July 1, 2021

Related Experiment Videos

Last Updated: Jul 16, 2026

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

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

Published on: December 19, 2017

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

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

Published on: December 16, 2022

Visualization and Quantification of Brown and Beige Adipose Tissues in Mice using [18F]FDG Micro-PET/MR Imaging

Visualization and Quantification of Brown and Beige Adipose Tissues in Mice using [¹⁸F]FDG Micro-PET/MR Imaging

Published on: July 1, 2021

Simulated low-dose (SLD) images were created by random undersampling, approximating a 90% reduction in injected activity.

A deep learning-based denoising (DN) algorithm was applied to SLD data; image quality, lesion conspicuity, and SUV values were assessed by three readers.

Main Results:

Denoised (DN) datasets showed significantly improved image quality, sharpness, and signal-to-noise ratio compared to simulated low-dose (SLD) images (p < 0.001).
DN images were rated as equivalent or slightly inferior to full-dose images for diagnostic quality in 89.9% of reads.
Readers preferred DN images over SLD images, and quantitative image noise was significantly reduced in DN datasets (p < 0.0001).

Conclusions:

Acceptable diagnostic image quality and lesion conspicuity can be achieved with low-dose 18F-FDG breast PET/MRI using denoising.
This denoising technique shows promise for reducing radiation exposure while maintaining diagnostic performance.
Further prospective validation is warranted to confirm the clinical utility of low-dose 18F-FDG breast PET/MRI with denoising.