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

Maxwell-Boltzmann Distribution: Problem Solving01:20

Maxwell-Boltzmann Distribution: Problem Solving

1.9K
Individual molecules in a gas move in random directions, but a gas containing numerous molecules has a predictable distribution of molecular speeds, which is known as the Maxwell-Boltzmann distribution, f(v).
This distribution function f(v) is defined by saying that the expected number N (v1,v2) of particles with speeds between v1 and v2 is given by
1.9K
Angle Closure Glaucoma: Treatment01:28

Angle Closure Glaucoma: Treatment

889
Angle-closure glaucoma, or closed-angle glaucoma, is an eye condition where the iris bulges out and blocks the iridocorneal angle, resulting in a buildup of aqueous humor and increased intraocular pressure. Immediate medical attention is necessary due to the sudden onset of symptoms. The treatment for angle-closure glaucoma includes short-term and long-term approaches. Short-term treatment involves using eye drops like pilocarpine to lower intraocular pressure by increasing aqueous humor...
889

You might also read

Related Articles

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

Sort by
Same author

Fetus-Specific Hematopoietic Stem Cell Dosimetry Framework for Leukemia-Relevant Target Cells During Prenatal Development.

Physics in medicine and biology·2026
Same author

Prognostic impact of radiotherapy dose to the axilla in cN + /ypN0 breast cancer after primary systemic therapy and sentinel lymph node biopsy: toward true de-escalation of axillary management.

Breast cancer (Tokyo, Japan)·2026
Same author

Experimental measurement of k<sub>Q</sub> values for 150 MeV proton beams in the middle of SOBP using water calorimetry and comparison with TRS-398 rev.1.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)·2026
Same author

Temperature-Controlled Immobilization for Testicular Irradiation: A Technical Report of a Single Case.

Journal of clinical medicine·2026
Same author

De Novo Primary Squamous Cell Carcinoma of the Prostate: Substantial Tumor Regression After Definitive Radiotherapy in a Medically Inoperable Patient.

Life (Basel, Switzerland)·2026
Same author

Electrical Physically Unclonable Function via Stochastic-Defect-Driven Invisible Current Pathways.

ACS applied materials & interfaces·2026
Same journal

Feasibility of uniportal thoracoscopic sublobar resection without chest tube drainage: a retrospective cohort study.

Frontiers in oncology·2026
Same journal

Real-world effectiveness and safety of carfilzomib, pomalidomide, and dexamethasone in relapsed/refractory multiple myeloma: a retrospective analysis from China.

Frontiers in oncology·2026
Same journal

Caregiver satisfaction with early integrated palliative care in oncology: secondary outcomes from the PALLiON cluster-RCT.

Frontiers in oncology·2026
Same journal

Intracranial mesenchymal tumor with FET::CREB fusion: a rare case report.

Frontiers in oncology·2026
Same journal

The multifaceted roles of mitochondria and their therapeutic transformation: a new perspective on triple-negative breast cancer treatment.

Frontiers in oncology·2026
Same journal

Trastuzumab emtansine versus trastuzumab plus pertuzumab for HER2-positive breast cancer with residual disease after neoadjuvant therapy: a real-world study.

Frontiers in oncology·2026
See all related articles

Related Experiment Video

Updated: Oct 18, 2025

Proton Therapy Delivery and Its Clinical Application in Select Solid Tumor Malignancies
08:34

Proton Therapy Delivery and Its Clinical Application in Select Solid Tumor Malignancies

Published on: February 6, 2019

20.6K

Beam Angle Optimization for Double-Scattering Proton Delivery Technique Using an Eclipse Application Programming

Wonjoong Cheon1, Sang Hee Ahn1, Seonghoon Jeong1

  • 1Proton Therapy Center, National Cancer Center, Goyang-si, South Korea.

Frontiers in Oncology
|October 1, 2021
PubMed
Summary
This summary is machine-generated.

A novel deep learning method, BAODS-Net, optimizes proton therapy beam angles for double-scattering treatments. This AI approach achieves clinically acceptable plan quality in under 5 minutes, matching expert performance.

Keywords:
beam angle optimizationconvolutional neural networkdeep-learningdouble-scattering techniqueproton therapy

More Related Videos

Positron Emission Tomography-based Dose Painting Radiation Therapy in a Glioblastoma Rat Model using the Small Animal Radiation Research Platform
07:57

Positron Emission Tomography-based Dose Painting Radiation Therapy in a Glioblastoma Rat Model using the Small Animal Radiation Research Platform

Published on: March 24, 2022

2.9K
In situ Grazing Incidence Small Angle X-ray Scattering on Roll-To-Roll Coating of Organic Solar Cells with Laboratory X-ray Instrumentation
06:49

In situ Grazing Incidence Small Angle X-ray Scattering on Roll-To-Roll Coating of Organic Solar Cells with Laboratory X-ray Instrumentation

Published on: March 2, 2021

6.4K

Related Experiment Videos

Last Updated: Oct 18, 2025

Proton Therapy Delivery and Its Clinical Application in Select Solid Tumor Malignancies
08:34

Proton Therapy Delivery and Its Clinical Application in Select Solid Tumor Malignancies

Published on: February 6, 2019

20.6K
Positron Emission Tomography-based Dose Painting Radiation Therapy in a Glioblastoma Rat Model using the Small Animal Radiation Research Platform
07:57

Positron Emission Tomography-based Dose Painting Radiation Therapy in a Glioblastoma Rat Model using the Small Animal Radiation Research Platform

Published on: March 24, 2022

2.9K
In situ Grazing Incidence Small Angle X-ray Scattering on Roll-To-Roll Coating of Organic Solar Cells with Laboratory X-ray Instrumentation
06:49

In situ Grazing Incidence Small Angle X-ray Scattering on Roll-To-Roll Coating of Organic Solar Cells with Laboratory X-ray Instrumentation

Published on: March 2, 2021

6.4K

Area of Science:

  • Medical Physics
  • Radiation Oncology
  • Artificial Intelligence in Medicine

Background:

  • Proton therapy offers precise dose delivery, but optimizing beam angles for techniques like double-scattering is complex.
  • Current methods for beam angle selection can be time-consuming and may not always yield optimal results for organs-at-risk.
  • Convolutional neural networks (CNNs) show promise in automating complex treatment planning tasks.

Purpose of the Study:

  • To develop and validate a deep learning-based method (BAODS-Net) for automatic optimal beam angle identification in proton therapy.
  • To assess the plan quality and efficiency of the proposed BAODS-Net compared to traditional methods.
  • To investigate the impact of different loss functions on the performance of the beam angle optimization.

Main Methods:

  • A convolutional neural network (BAODS-Net) was trained using 50 liver proton therapy plans.
  • Input data included ray features derived from normalized Hounsfield units and structure positions across gantry angles.
  • The network outputted beam angle ranking scores; performance was evaluated using K-fold cross-validation and statistical analysis of dosimetric parameters for organs-at-risk.

Main Results:

  • Smooth-L1 loss demonstrated the best optimization performance, achieving a mean squared error of 0.004 between predicted and reference beam angle scores.
  • Deep-learning optimized plans (PlanBAO) showed no statistically significant difference in quality compared to clinically derived plans (PlanClinic) (P >.05).
  • BAODS-Net generated clinically acceptable proton therapy plans within 5 minutes using the Eclipse API.

Conclusions:

  • The developed BAODS-Net provides an effective and efficient deep learning-based solution for beam angle optimization in proton double-scattering therapy.
  • This AI-driven approach can achieve treatment plan quality comparable to clinical standards while significantly reducing planning time.
  • BAODS-Net holds potential for improving workflow efficiency and consistency in proton therapy treatment planning.