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

Arc Length of a Curve01:30

Arc Length of a Curve

79
In engineering applications like roller coaster design, cable installation, and railway construction, determining the precise length of a curved path is essential. These paths are rarely straight and often follow smooth, continuous curves that require accurate measurement for effective planning.To estimate the length of a curve, the path is initially divided into small segments. Each segment is approximated by a straight line connecting two nearby points on the curve. The sum of these linear...
79
Arc Length Function01:22

Arc Length Function

63
The arc length function represents the total distance traveled along a smooth curve measured from a fixed starting point to a variable endpoint. For curves that are continuous and differentiable, arc length provides a precise way to quantify distance when straight-line approximations are insufficient.To derive arc length, the curve is divided into many small segments. Each segment is approximated by a straight line whose length depends on the horizontal and vertical changes over that interval.
63
Arc Length of a Curve: Problem Solving01:21

Arc Length of a Curve: Problem Solving

79
A high-voltage power line spans a 40-meter horizontal distance between two transmission towers, resulting in a 10-meter vertical sag due to the effects of gravity and thermal expansion. The curve formed by the suspended cable is a catenary, which accurately models the behavior of a uniform, flexible cable under its own weight. Unlike a parabolic shape, the catenary is described by the hyperbolic cosine function and offers a precise representation of the cable's form.In this setup, engineers...
79
Trial and Error and Algorithm01:12

Trial and Error and Algorithm

429
A problem-solving strategy is a plan of action used to find a solution. Different strategies have distinct action plans. Trial and error involves trying different solutions until one works. For instance, to fix a broken printer, you might check ink levels, ensure the paper tray isn't jammed, and verify the printer's connection to your laptop. This method can be time-consuming but is commonly used. Thomas Edison, for example, used trial and error to find a suitable filament for the light...
429
Optimal Foraging00:48

Optimal Foraging

13.9K
How animals obtain and eat their food is called foraging behavior. Foraging can include searching for plants and hunting for prey and depends on the species and environment.
13.9K
Continuing Care01:25

Continuing Care

2.0K
Continuing care describes the variety of health, personal, and social services provided over a prolonged period. The need for continuing care is increasing because people are living longer. Many people do not have families or others to care for them. Continuing care is mainly for patients who are disabled, functionally dependent, or suffering from a terminal disease. It is available within institutional settings or in homes. Examples include nursing centers or facilities, assisted living,...
2.0K

You might also read

Related Articles

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

Sort by
Same author

Standardized reporting as a foundation for trustworthy and reproducible artificial intelligence in radiotherapy.

Physics and imaging in radiation oncology·2026
Same author

Status and challenges of MRI-only simulation for stereotactic body radiation therapy.

Journal of radiosurgery and SBRT·2026
Same author

Maintaining quality of scientific peer-review and publishing in <i>Physics and Imaging in Radiation Oncology</i>.

Physics and imaging in radiation oncology·2026
Same author

What an RVU experiment taught me about Medical Physics.

Journal of applied clinical medical physics·2025
Same author

Beyond the bubble: reflections on a career in academic medicine with an obligation to look beyond.

Journal of applied clinical medical physics·2025
Same author

TomoGRAF: An X-ray physics-driven generative radiance field framework for extremely sparse view CT reconstruction.

PloS one·2025
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

Related Experiment Video

Updated: Feb 9, 2026

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
11:53

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

13.5K

A continuous arc delivery optimization algorithm for CyberKnife m6.

Vasant Kearney1, Martina Descovich1, Atchar Sudhyadhom1

  • 1Department of Radiation Oncology, University of California, San Francisco, CA, USA.

Medical Physics
|June 2, 2018
PubMed
Summary
This summary is machine-generated.

The novel CyberArc-m6 algorithm enables noncoplanar continuous arc delivery for CyberKnife m6 treatments. This innovation significantly reduces treatment time while maintaining dosimetric plan quality compared to traditional methods.

Keywords:
CyberKnifenoncoplanaroptimizationrobotic radiotherapy

More Related Videos

Method for Recording Broadband High Resolution Emission Spectra of Laboratory Lightning Arcs
07:51

Method for Recording Broadband High Resolution Emission Spectra of Laboratory Lightning Arcs

Published on: August 27, 2019

7.3K
Management of Respiratory Motion Artefacts in 18F-fluorodeoxyglucose Positron Emission Tomography using an Amplitude-Based Optimal Respiratory Gating Algorithm
06:53

Management of Respiratory Motion Artefacts in 18F-fluorodeoxyglucose Positron Emission Tomography using an Amplitude-Based Optimal Respiratory Gating Algorithm

Published on: July 23, 2020

6.1K

Related Experiment Videos

Last Updated: Feb 9, 2026

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
11:53

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

13.5K
Method for Recording Broadband High Resolution Emission Spectra of Laboratory Lightning Arcs
07:51

Method for Recording Broadband High Resolution Emission Spectra of Laboratory Lightning Arcs

Published on: August 27, 2019

7.3K
Management of Respiratory Motion Artefacts in 18F-fluorodeoxyglucose Positron Emission Tomography using an Amplitude-Based Optimal Respiratory Gating Algorithm
06:53

Management of Respiratory Motion Artefacts in 18F-fluorodeoxyglucose Positron Emission Tomography using an Amplitude-Based Optimal Respiratory Gating Algorithm

Published on: July 23, 2020

6.1K

Area of Science:

  • Medical Physics
  • Radiation Oncology
  • Robotic Surgery

Background:

  • CyberKnife m6 treatments traditionally use step-and-shoot delivery.
  • Reducing treatment time is crucial for patient comfort and throughput.
  • Noncoplanar beam delivery offers potential for improved dose distribution and efficiency.

Purpose of the Study:

  • To develop and evaluate a novel noncoplanar continuous arc delivery optimization algorithm, CyberArc-m6.
  • To reduce the treatment delivery time for CyberKnife m6 procedures.
  • To assess the dosimetric quality of plans generated by CyberArc-m6.

Main Methods:

  • Developed a five-step algorithm for noncoplanar continuous arc delivery optimization.
  • Implemented CyberArc-m6 on five prostate and three brain cancer patients.
  • Assessed plan quality using conformity index (CI), heterogeneity index (HI), and locally confined mutual information (LCMI).

Main Results:

  • CyberArc-m6 achieved dosimetrically similar plans with average CI difference of 0.036, HI difference of 0.046, and LCMI of 0.920.
  • Treatment delivery time was reduced by an average factor of 1.545x compared to step-and-shoot.
  • These results were achieved using conservative optimization parameters.

Conclusions:

  • The CyberArc-m6 algorithm successfully reduces CyberKnife m6 treatment delivery times.
  • Dosimetric plan quality is maintained when compared to conventional step-and-shoot techniques.
  • This represents a significant advancement in efficient radiation therapy delivery.