Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Boundary Conditions: Lossless Lines

Boundary Conditions: Lossless Lines

Consider a single-phase, two-wire, lossless transmission line terminated by an impedance at the receiving end and a source with Thevenin voltage and impedance at the sending end. The line, with length, has a surge impedance and wave velocity determined by the line's inductance and capacitance.
At the receiving end, the boundary condition states that the voltage equals the product of the receiving-end impedance and current. This relationship is expressed as a function of the incident and...

You might also read

Related Articles

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

Sort by

Same author

Nasopharyngeal pneumococcal carriage in Indian children following 10-valent PCV (PNEUMOSIL®) introduction through India's universal immunization program: A post licensure cross-sectional study.

Vaccine·2025

Same author

Evolution of tunable energy bandgap and magnetic anisotropy in Mn substituted ferrimagnetic nickel-chromates.

Journal of physics. Condensed matter : an Institute of Physics journal·2024

Same author

Charge-ordering breakdown dynamics and ferromagnetic resonance studies of<i>B</i>-site Cu diluted Pr<sub>1‒<i>x</i></sub>Sr<i><sub>x</sub></i>MnO<sub>3</sub>.

Journal of physics. Condensed matter : an Institute of Physics journal·2024

Same author

Wide-awake local anesthesia and no tourniquet (WALANT) in upper limb fractures.

Acta orthopaedica Belgica·2023

Same author

Reentrant canonical spin-glass dynamics and tunable field-induced transitions in (GeMn)Co<sub>2</sub>O<sub>4</sub>Kagomé lattice.

Journal of physics. Condensed matter : an Institute of Physics journal·2023

Same author

Probing the incoherent admixture of low and high-spin states of Co in (LaPr)CoO

Journal of physics. Condensed matter : an Institute of Physics journal·2023

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

Search research articles

Related Experiment Video

Updated: Mar 2, 2026

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

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

SU-E-T-620: Computational Boundary Sampling to Accelerate IMRT Optimization.

P Tiwari^1,2, Y Xie^1,2, Y Chen^1,2

¹Washington University in St. Louis, Saint Louis, Missouri.

Medical Physics

|May 19, 2017

Summary

This summary is machine-generated.

Computational Boundary Sampling (CBS) significantly reduces Intensity Modulated Radiation Therapy (IMRT) planning time and memory usage. This new method achieves up to 20x efficiency gains with minimal impact on treatment plan quality.

Keywords:

Dosimetry Intensity modulated radiation therapy Medical treatment planning Optimization

More Related Videos

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

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

Published on: February 6, 2019

PET and MRI Guided Irradiation of a Glioblastoma Rat Model Using a Micro-irradiator

PET and MRI Guided Irradiation of a Glioblastoma Rat Model Using a Micro-irradiator

Published on: December 28, 2017

Related Experiment Videos

Last Updated: Mar 2, 2026

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

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

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

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

Published on: February 6, 2019

PET and MRI Guided Irradiation of a Glioblastoma Rat Model Using a Micro-irradiator

PET and MRI Guided Irradiation of a Glioblastoma Rat Model Using a Micro-irradiator

Published on: December 28, 2017

Area of Science:

Medical Physics
Radiation Oncology
Computational Imaging

Background:

Intensity Modulated Radiation Therapy (IMRT) planning is computationally intensive.
Optimizing IMRT requires significant time and memory resources.
Existing methods face challenges in balancing efficiency and plan quality.

Purpose of the Study:

To decrease computational time and memory requirements for IMRT treatment planning.
To introduce a novel sampling strategy for IMRT optimization.
To maintain or improve the quality of IMRT treatment plans.

Main Methods:

Developed Computational Boundary Sampling (CBS), a novel method for IMRT optimization.
CBS samples boundary voxels and a subset of inner voxels within regions of interest.
Implemented a grid-based sampling technique for inner voxels and developed a theory to quantify solution quality.

Main Results:

CBS reduced solution time and memory consumption by up to 20x.
Plan quality, measured by dosimetric variables, showed less than 2% change.
Grid sampling within CBS improved uniformity and reduced variance compared to random sampling.

Conclusions:

Computational Boundary Sampling (CBS) offers a significant improvement in IMRT optimization efficiency.
The method effectively reduces computational load without compromising critical dosimetric parameters.
CBS, including boundary and grid sampling techniques, enhances IMRT planning speed and reduces memory footprint.