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

Instrument Calibration01:12

Instrument Calibration

1.3K
Instrument calibration is essential for ensuring that instruments produce accurate and consistent results. It is vital in manufacturing, healthcare, testing laboratories, and scientific research. Calibration processes are specific to each instrument and help enhance data accuracy. Each instrument has a unique calibration process tailored to its design and function to improve data accuracy.
Analytical Balance Calibration
An analytical balance measures mass and requires regular calibration to...
1.3K
Calibration Curves: Correlation Coefficient01:10

Calibration Curves: Correlation Coefficient

5.7K
In a linear calibration curve, there is a value called the calibration coefficient, denoted by 'r,' which measures the strength and the direction of association between two variables. The correlation coefficient value ranges from −1 to +1. A value of +1 indicates a perfect positive linear correlation, −1 denotes a perfect negative correlation, and 0 implies no correlation between the two variables. A positive correlation value establishes that as one variable increases, the...
5.7K
Calibration Curves: Linear Least Squares01:20

Calibration Curves: Linear Least Squares

5.3K
A calibration curve is a plot of the instrument's response against a series of known concentrations of a substance. This curve is used to set the instrument response levels, using the substance and its concentrations as standards. Alternatively, or additionally, an equation is fitted to the calibration curve plot and subsequently used to calculate the unknown concentrations of other samples reliably.
For data that follow a straight line, the standard method for fitting is the linear...
5.3K
Estimation of the Physical Quantities01:05

Estimation of the Physical Quantities

8.6K
On many occasions, physicists, other scientists, and engineers need to make estimates of a particular quantity. These are sometimes referred to as guesstimates, order-of-magnitude approximations, back-of-the-envelope calculations, or Fermi calculations. The physicist Enrico Fermi was famous for his ability to estimate various kinds of data with surprising precision. Estimating does not mean guessing a number or a formula at random. Instead, estimation means using prior experience and sound...
8.6K

You might also read

Related Articles

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

Sort by
Same author

The European intercomparison of in-vivo monitoring laboratories: the EIVIC-2020 project.

Radiation and environmental biophysics·2024
Same author

EURADOS STRATEGIC RESEARCH AGENDA 2020: VISION FOR THE DOSIMETRY OF IONISING RADIATION.

Radiation protection dosimetry·2021
Same author

EURADOS education and training activities.

Journal of radiological protection : official journal of the Society for Radiological Protection·2019
Same author

EURADOS work on internal dosimetry.

Annals of the ICRP·2018
Same author

THE EURADOS-KIT TRAINING COURSE ON MONTE CARLO METHODS FOR THE CALIBRATION OF BODY COUNTERS.

Radiation protection dosimetry·2016
Same author

LESSONS LEARNED FROM THE EURADOS SURVEY ON INDIVIDUAL MONITORING DATA AND INTERNAL DOSE ASSESSMENTS OF FOREIGNERS EXPOSED IN JAPAN FOLLOWING THE FUKUSHIMA DAIICHI NPP ACCIDENT.

Radiation protection dosimetry·2015

Related Experiment Video

Updated: Apr 3, 2026

Author Spotlight: Advancements in 3D Optical Imaging for Comprehensive Body Composition Assessment in Modern Research
06:48

Author Spotlight: Advancements in 3D Optical Imaging for Comprehensive Body Composition Assessment in Modern Research

Published on: June 7, 2024

2.3K

PERSONALISED BODY COUNTER CALIBRATION USING ANTHROPOMETRIC PARAMETERS.

S Pölz1, B Breustedt2

  • 1Karlsruhe Institute of Technology, Institute for Nuclear Waste Disposal, Hermann-von-Helmholtz-Platz 1, 76344 Eggenstein-Leopoldshafen, Germany.

Radiation Protection Dosimetry
|September 24, 2015
PubMed
Summary
This summary is machine-generated.

This study improves internal radiation dose calibration by using detailed computational phantoms and advanced simulations. Body circumferences proved most effective for accurate calibration factors, enhancing personalized internal dosimetry.

More Related Videos

Assessment of Child Anthropometry in a Large Epidemiologic Study
09:36

Assessment of Child Anthropometry in a Large Epidemiologic Study

Published on: February 2, 2017

28.1K
Non-invasive Skeletal Muscle Quantification in Small Animals Using Micro-computed Tomography
07:33

Non-invasive Skeletal Muscle Quantification in Small Animals Using Micro-computed Tomography

Published on: November 8, 2024

1.0K

Related Experiment Videos

Last Updated: Apr 3, 2026

Author Spotlight: Advancements in 3D Optical Imaging for Comprehensive Body Composition Assessment in Modern Research
06:48

Author Spotlight: Advancements in 3D Optical Imaging for Comprehensive Body Composition Assessment in Modern Research

Published on: June 7, 2024

2.3K
Assessment of Child Anthropometry in a Large Epidemiologic Study
09:36

Assessment of Child Anthropometry in a Large Epidemiologic Study

Published on: February 2, 2017

28.1K
Non-invasive Skeletal Muscle Quantification in Small Animals Using Micro-computed Tomography
07:33

Non-invasive Skeletal Muscle Quantification in Small Animals Using Micro-computed Tomography

Published on: November 8, 2024

1.0K

Area of Science:

  • Medical Physics
  • Computational Biology
  • Radiation Detection

Background:

  • Current body counting calibration methods for internal dosimetry primarily use body mass and height ratios.
  • Chest wall thickness is a key intermediate parameter in these existing calibration techniques.

Purpose of the Study:

  • To revise and extend existing body counting calibration methods.
  • To improve the accuracy of calibration factor estimation by incorporating detailed anthropometric data and advanced simulation techniques.

Main Methods:

  • Utilized a series of computational phantoms derived from medical imaging data (Extended Cardiac-Torso phantom series).
  • Employed radiation transport simulation using the Monte Carlo N-Particle (MCNP) code.
  • Performed statistical analysis on calibration factors generated from 30 phantoms and 26 photon sources, considering 18 anthropometric parameters.

Main Results:

  • Body circumferences related to the radiation source location demonstrated the highest accuracy for calibration.
  • Parameters related to body mass showed comparable but lower performance.
  • Parameters related to body height and other lengths exhibited lower performance in calibration accuracy.

Conclusions:

  • The proposed approach enables more accurate estimation of calibration factors for internal dosimetry.
  • This method accounts for interindividual anatomical variations, providing more reliable uncertainty estimates.
  • The study successfully applied the method to calibrate the In Vivo Measurement Laboratory (IVM) at Karlsruhe Institute of Technology (KIT).