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

Fast iterative algorithms for three-dimensional inverse treatment planning

L Xing1, R J Hamilton, D Spelbring

  • 1Department of Radiation Oncology, Stanford University, California 94305-5304, USA.

Medical Physics
|November 4, 1998
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

[Determination of methanol and acetaldehyde in the air of workplace by solvent desorption-headspace gas chromatography].

Zhonghua lao dong wei sheng zhi ye bing za zhi = Zhonghua laodong weisheng zhiyebing zazhi = Chinese journal of industrial hygiene and occupational diseases·2026
Same author

Pre-sleep alpha brain entrainment by audio or visual stimulation for chronic widespread pain and sleep disturbance: A randomised crossover feasibility trial.

The journal of pain·2025
Same author

Using lightsheet microscopy to investigate the initial lymphatic network in the murine knee joints.

bioRxiv : the preprint server for biology·2025
Same author

[Neurogenic voice disorders].

Zhonghua er bi yan hou tou jing wai ke za zhi = Chinese journal of otorhinolaryngology head and neck surgery·2024
Same author

Multimodal image-guided surgical robot versus 3D-printed template for brachytherapy of malignant tumours in the skull base and deep facial region: a clinical comparative study.

International journal of oral and maxillofacial surgery·2024
Same author

MRI radiomics predicts the efficacy of EGFR-TKI in EGFR-mutant non-small-cell lung cancer with brain metastasis.

Clinical radiology·2024
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

Three iterative algorithms for inverse treatment planning were generalized to 3D, significantly increasing calculation speed. These methods produced superior isodose distributions for radiation therapy.

Area of Science:

  • Medical Physics
  • Radiation Oncology
  • Computational Biology

Background:

  • Iterative algorithms are crucial for optimizing radiation therapy dose distributions.
  • Existing methods often face computational challenges in 3D treatment planning.

Purpose of the Study:

  • To generalize three iterative inverse treatment planning algorithms to three dimensions.
  • To enhance computational efficiency and improve dose distribution accuracy in radiation therapy.

Main Methods:

  • Generalized algebraic inverse treatment planning (AITP), simultaneous iterative inverse treatment planning (SIITP), and iterative least-square inverse treatment planning (ILSITP) to 3D.
  • Developed a rapid ray-tracing approach and dose matrix scaling to accelerate calculations.
  • Implemented voxel-by-voxel (AITP) and pencil beam-by-pencil beam (SIITP, ILSITP) updating strategies.

Related Experiment Videos

Main Results:

  • Significantly increased calculation speed by avoiding full dose matrix recalculations.
  • Demonstrated the ability of the generalized iterative algorithms to achieve superior isodose distributions.
  • Successfully applied the algorithms to two treatment planning examples.

Conclusions:

  • The generalized 3D iterative algorithms offer a computationally efficient and effective approach for inverse treatment planning.
  • These techniques can lead to improved dose conformity and therapeutic outcomes in radiation oncology.
  • The developed methods represent a significant advancement in optimizing radiation dose delivery.