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

¹³C NMR: Distortionless Enhancement by Polarization Transfer (DEPT)01:20

¹³C NMR: Distortionless Enhancement by Polarization Transfer (DEPT)

1.1K
When proton-coupled carbon-13 spectra are simplified by a broadband proton decoupling technique, structural information about the coupled protons is lost. Distortionless enhancement by polarization transfer (DEPT) is a technique that provides information on the number of hydrogens attached to each carbon in a molecule. While the DEPT experiment utilizes complex pulse sequences, the pulse delay and flip angle are specifically manipulated. The resulting signals have different phases depending on...
1.1K
Positron Emission Tomography01:29

Positron Emission Tomography

4.2K
Positron emission tomography (PET) is a medical imaging technique involving radiopharmaceuticals — substances that emit short-lived radiation. Although the first PET scanner was introduced in 1961, it took 15 more years before radiopharmaceuticals were combined with the technique and revolutionized its potential.
One of the main requirements of a PET scan is a positron-emitting radioisotope, which is produced in a cyclotron and then attached to a substance used by the part of the body...
4.2K

You might also read

Related Articles

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

Sort by
Same author

Extracellular vesicle-mediated GALNT1/RPRD1A glycosylation axis drives immune escape and peritoneal metastasis in gastric cancer.

Journal of experimental & clinical cancer research : CR·2026
Same author

Global patterns of C<sub>3</sub>/C<sub>4</sub> grass biomass allocation: how aridity mediates nitrogen-induced divergent strategies.

The New phytologist·2026
Same author

An ambispective, observational real-world study of tumor-treating fields for treatment of Chinese patients with newly diagnosed or recurrent/progressive glioblastoma.

Neuro-oncology advances·2026
Same author

A physical-numerical approach to predicting tension-induced rock mass collapse using reciprocal tilt rate.

Scientific reports·2026
Same author

Domain-less defenders: evolutionary innovations and agricultural promise of noncanonical NLRs.

aBIOTECH·2026
Same author

Molecular PET imaging of tumor-associated macrophages in precision oncology.

Cancer letters·2026

Related Experiment Video

Updated: Jul 8, 2025

Three-Dimensional Phase Resolved Functional Lung Magnetic Resonance Imaging
10:44

Three-Dimensional Phase Resolved Functional Lung Magnetic Resonance Imaging

Published on: June 21, 2024

507

A denoising method based on deep learning for proton radiograph using energy resolved dose function.

Cong Sheng1, Yu Ding1, Yaping Qi2

  • 1Key Laboratory of Electromagnetic Wave Information Technology and Metrology of Zhejiang Province, College of Information Engineering, China Jiliang University, Hangzhou, 310018, People's Republic of China.

Physics in Medicine and Biology
|December 14, 2023
PubMed
Summary
This summary is machine-generated.

This study introduces a novel denoising method for proton radiographs using energy-resolved dose functions. The technique effectively removes scattered protons, improving spatial resolution and water equivalent path length accuracy for precise proton radiotherapy.

Keywords:
deep learningimage denoisingproton radiography

More Related Videos

3D Imaging of Soft-Tissue Samples using an X-ray Specific Staining Method and Nanoscopic Computed Tomography
07:01

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

Published on: October 24, 2019

9.8K
A Whole Body Dosimetry Protocol for Peptide-Receptor Radionuclide Therapy PRRT: 2D Planar Image and Hybrid 2D+3D SPECT/CT Image Methods
09:49

A Whole Body Dosimetry Protocol for Peptide-Receptor Radionuclide Therapy PRRT: 2D Planar Image and Hybrid 2D+3D SPECT/CT Image Methods

Published on: April 24, 2020

10.0K

Related Experiment Videos

Last Updated: Jul 8, 2025

Three-Dimensional Phase Resolved Functional Lung Magnetic Resonance Imaging
10:44

Three-Dimensional Phase Resolved Functional Lung Magnetic Resonance Imaging

Published on: June 21, 2024

507
3D Imaging of Soft-Tissue Samples using an X-ray Specific Staining Method and Nanoscopic Computed Tomography
07:01

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

Published on: October 24, 2019

9.8K
A Whole Body Dosimetry Protocol for Peptide-Receptor Radionuclide Therapy PRRT: 2D Planar Image and Hybrid 2D+3D SPECT/CT Image Methods
09:49

A Whole Body Dosimetry Protocol for Peptide-Receptor Radionuclide Therapy PRRT: 2D Planar Image and Hybrid 2D+3D SPECT/CT Image Methods

Published on: April 24, 2020

10.0K

Area of Science:

  • Medical Physics
  • Radiotherapy Technology
  • Image Processing

Background:

  • Proton radiography is crucial for proton radiotherapy but suffers from low spatial resolution due to scattered protons.
  • Traditional denoising methods can alter water equivalent path length (WEPL) accuracy, impacting treatment precision.

Purpose of the Study:

  • To develop a new denoising method for proton radiographs based on energy-resolved dose function curves.
  • To enhance the accuracy of WEPL measurements in proton radiographs by mitigating the effects of scattered protons.

Main Methods:

  • Established a relationship between WEPL distortion, proton energy, and scattered proton proportion.
  • Applied deep learning techniques to remove scattered protons and correct deviated WEPL values.
  • Validated the method using calibration and anthropomorphic head phantoms.

Main Results:

  • Smoothed WEPL profiles and corrected deviated WEPL values in proton radiographs.
  • Reduced average absolute WEPL error from 2.23 to 1.72 for a calibration phantom.
  • Decreased mean percentage difference in relative stopping power from 1.24% to 0.39%.

Conclusions:

  • The proposed energy-resolved dose function method effectively denoises proton radiographs.
  • This technique offers advantages over existing end-to-end denoising methods for improving WEPL accuracy.
  • The findings support the implementation of precise proton radiotherapy.