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 Experiment Videos

Random sampling for evaluating treatment plans.

A Niemierko1, M Goitein

  • 1Department of Radiation Medicine, Massachusetts General Hospital, Boston 02114.

Medical Physics
|September 1, 1990
PubMed
Summary
This summary is machine-generated.

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

SU-E-T-552: Maximizing the Biological Effect of Proton Dose Delivered with Scanned Beam.

Medical physics·2017
Same author

A comparison of critical structure dose and toxicity risks in patients with low grade gliomas treated with IMRT versus proton radiation therapy.

Technology in cancer research & treatment·2012
Same author

Modeling intracranial second tumor risk and estimates of clinical toxicity with various radiation therapy techniques for patients with pituitary adenoma.

Technology in cancer research & treatment·2011
Same author

The relative costs of proton and X-ray radiation therapy.

Clinical oncology (Royal College of Radiologists (Great Britain))·2003
Same author

Risk of pneumonitis in breast cancer patients treated with radiation therapy and combination chemotherapy with paclitaxel.

Journal of the National Cancer Institute·2001
Same author

Biophysical modelling of proton radiation effects based on amorphous track models.

International journal of radiation biology·2001
Same journal

Correction to "On the shape of the radiation survival curve in tumor spheroids: The role of oxygen heterogeneity".

Medical physics·2026
Same journal

Multi-view constrained semi-supervised vertebra detection for 3D ultrasound spine volume.

Medical physics·2026
Same journal

Accuracy of quantitative <sup>177</sup>Lu SPECT/CT imaging: A systematic review.

Medical physics·2026
Same journal

Physics-constrained dual-domain network for CBCT reconstruction from orthogonal X-rays in gynecologic radiotherapy.

Medical physics·2026
Same journal

Decomposition-based harmonization for quantitative PET imaging across scanners and radiotracers.

Medical physics·2026
Same journal

Development and evaluation of an in vivo dose-based monitoring system for electron FLASH radiation therapy.

Medical physics·2026
See all related articles

Random sampling significantly reduces errors in estimating irradiated volumes and complication probabilities in 3D treatment planning. This technique requires substantially fewer calculation points than traditional grid sampling for comparable accuracy.

Area of Science:

  • Medical Physics
  • Radiation Oncology
  • Computational Biology

Background:

  • Accurate estimation of irradiated volumes and complication probabilities is crucial in radiation therapy.
  • Current methods often rely on grid-based sampling, which can be computationally intensive.

Purpose of the Study:

  • To analyze the impact of different sampling techniques on the accuracy of radiation therapy calculations.
  • To compare random sampling with regular grid sampling for estimating irradiated volumes, dose-volume histograms, and complication probabilities.

Main Methods:

  • Evaluation of uniform distribution of points on a regular Cartesian grid.
  • Assessment of random point selection for sampling.
  • Comparison of estimation errors and required calculation points for both methods in 3D treatment planning.

Related Experiment Videos

Main Results:

  • Random sampling significantly reduces estimation error in three-dimensional treatment planning.
  • Fewer calculation points are needed with random sampling to achieve desired accuracy.
  • Random sampling can be up to 50 times more efficient for estimating complication probability.

Conclusions:

  • Random sampling offers a more efficient and accurate approach for radiation therapy calculations compared to grid sampling.
  • The findings suggest practical advantages for implementing random sampling in clinical treatment planning.
  • This method can lead to faster and more reliable estimations of treatment outcomes.