Related Experiment Video

Updated: Sep 10, 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

3.8K

Development and validation of 3D super-resolution convolutional neural network for 18F-FDG-PET images

Hiroki Endo1, Kenji Hirata2,3,4,5,6, Keiichi Magota7

  • 1Department of Diagnostic Imaging, Graduate School of Medicine, Hokkaido University, Sapporo, Japan.

EJNMMI Physics
|August 19, 2025
PubMed
Summary

No abstract available in PubMed .

Keywords:
Convolutional neural networkDeep learningPETSiPM-PET/CTSuper-resolution

More Related Videos

Radiotracer Administration for High Temporal Resolution Positron Emission Tomography of the Human Brain: Application to FDG-fPET09:03

Radiotracer Administration for High Temporal Resolution Positron Emission Tomography of the Human Brain: Application to FDG-fPET

Published on: October 22, 2019

10.2K
3D Imaging of Soft-Tissue Samples using an X-ray Specific Staining Method and Nanoscopic Computed Tomography07:01

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

Published on: October 24, 2019

9.9K

Related Concept Videos

Super-resolution Fluorescence Microscopy01:37

Super-resolution Fluorescence Microscopy

Super-resolution fluorescence microscopy (SRFM) provides a better resolution than conventional fluorescence microscopy by reducing the point spread function (PSF). PSF is the light intensity distribution from a point that causes it to appear blurred. Due to PSF, each fluorescing point appears bigger than its actual size, and it is the PSF interference of nearby fluorophores that causes the blurred image. Various approaches to achieving higher resolution through SRFM have recently been...
7.6K