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Related Concept Videos

Range00:59

Range

The range is one of the measures of variation. It can be defined as the difference between a dataset's highest and lowest values. For example, in the study of seven 16-ounce soda cans, the filled volume of soda was measured, thus producing the following amount (in ounces) of soda:
15.9; 16.1; 15.2; 14.8; 15.8; 15.9; 16.0; 15.5
Measurements of the amount of soda in a 16-ounce can vary since different subjects record these measurements or since the exact amount - 16 ounces of liquid, was not...
Multiple Comparison Tests01:13

Multiple Comparison Tests

Multiple comparison test, abbreviated as MCT, is a post hoc analysis generally performed after comparing multiple samples with one or more tests. An MCT will help identify a significantly different sample among multiple samples or a factor among multiple factors.
It would be easy to compare two samples using a significance alpha level of 0.05. In other words, there is only one sample pair to be compared. However, it would be difficult to identify a significantly different sample if the number...
Midrange01:07

Midrange

A somewhat easy to compute quantitative estimate of a data set’s central tendency is its midrange, which is defined as the mean of the minimum and maximum values of an ordered data set.
Simply put, the midrange is half of the data set’s range. Similar to the mean, the midrange is sensitive to the extreme values and hence the prospective outliers. However, unlike the mean, the midrange is not sensitive to all the values of the data set that lie in the middle. Thus, it is prone to outliers and...
MALDI-TOF Mass Spectrometry01:19

MALDI-TOF Mass Spectrometry

Mass spectrometry is a powerful characterization technique that can identify and separate a wide variety of compounds ranging from chemical to biological entities, based on their mass-to-charge ratio (m/z). The instruments that allow this detection, known as mass spectrometers, have three components: an ion source, a mass analyzer, and a detector. These spectrometers differ based on the nature of their ion source and analyzers.Matrix-assisted laser desorption ionization (MALDI) is a commonly...
Tandem Mass Spectrometry01:21

Tandem Mass Spectrometry

Tandem mass spectrometry is a technique that uses multiple mass analyzers in series to obtain a higher selectivity and reduce chemical noise during analyte detection. Instruments with multiple analyzers separated by an interaction cell enable secondary fragmentation and selected study of the fragment ions.Secondary fragmentations occur in the interaction cell and can be induced by various factors. Fragmentation induced by collision with inert gases, such as N2, Ar, He, etc., is called...

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Related Experiment Video

Updated: Jun 1, 2026

Mapping Molecular Diffusion in the Plasma Membrane by Multiple-Target Tracing (MTT)
12:19

Mapping Molecular Diffusion in the Plasma Membrane by Multiple-Target Tracing (MTT)

Published on: May 27, 2012

MITK-ToF--range data within MITK.

Alexander Seitel1, Kwong Yung, Sven Mersmann

  • 1Division of Medical and Biological Informatics (E130), German Cancer Research Center, Heidelberg, Germany. a.seitel@dkfz-heidelberg.de

International Journal of Computer Assisted Radiology and Surgery
|June 1, 2011
PubMed
Summary
This summary is machine-generated.

Time-of-flight (ToF) cameras are increasingly used for intra-operative surface acquisition. MITK-ToF integrates this technology into medical image processing, offering a flexible, open-source solution for image-guided therapy.

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Area of Science:

  • Medical Imaging
  • Surgical Technology
  • Software Engineering

Background:

  • Time-of-flight (ToF) imaging provides rapid distance acquisition, crucial for real-time intra-operative surface mapping.
  • Integrating ToF into clinical workflows necessitates robust medical image processing frameworks.

Purpose of the Study:

  • To integrate Time-of-flight (ToF) imaging capabilities into an existing medical image processing framework.
  • To facilitate the use of ToF for intra-operative surface acquisition in clinical settings.

Main Methods:

  • Developed MITK-ToF as an extension of the open-source Medical Imaging Interaction Toolkit (MITK).
  • Employed a modular architecture to separate hardware-dependent acquisition from range data processing.
  • Ensured flexibility, extensibility, robustness, performance, and portability in the software design.

Main Results:

  • Released MITK-ToF as an open-source toolkit supporting multiple ToF cameras and basic processing algorithms.
  • Provided a sample application and tutorial for user accessibility.
  • Demonstrated successful integration and use in several research projects.

Conclusions:

  • Integration of range data support, specifically from Time-of-flight (ToF) cameras, into medical imaging toolkits is essential.
  • MITK-ToF offers a flexible and extensible open-source solution for image-guided therapy applications utilizing range data.
  • The toolkit meets the demands for handling diverse ToF camera data and processing within the medical community.