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Related Concept Videos

Quality Control01:05

Quality Control

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Quality control is one of the three cyclical quality assurance activities that help keep a system under statistical control. Typical quality control activities include creating quality control charts, conducting proficiency testing, and documenting and archiving results.
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Diffusion is the passive movement of substances down their concentration gradients—requiring no expenditure of cellular energy. Substances, such as molecules or ions, diffuse from an area of high concentration to an area of low concentration in the cytosol or across membranes. Eventually, the concentration will even out, with the substance moving randomly but causing no net change in concentration. Such a state is called dynamic equilibrium, which is essential for maintaining overall...
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Diffusion01:21

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Diffusion is a type of passive transport. In passive transport, a substance tends to move from an area of high concentration to an area of low concentration until the concentration is equal across the space. For example, take the diffusion of substances through the air. When someone opens a perfume bottle in a room filled with people, the perfume is at its highest concentration in the bottle and is at its lowest at the edges of the room. The perfume vapor will diffuse, or spread away, from the...
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According to Charles Cooley, we base our image on what we think other people see (Cooley 1902). We imagine how we must appear to others, then react to this speculation. We don certain clothes, prepare our hair in a particular manner, wear makeup, use cologne, and the like—all with the notion that our presentation of ourselves is going to affect how others perceive us. We expect a certain reaction, and, if lucky, we get the one we desire and feel good about it. But more than that, Cooley...
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Facilitated Diffusion01:16

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Comparison of quality control software tools for diffusion tensor imaging.

Bilan Liu1, Tong Zhu2, Jianhui Zhong2

  • 1Department of Electrical and Computer Engineering, University of Rochester, Rochester, NY, USA.

Magnetic Resonance Imaging
|December 3, 2014
PubMed
Summary
This summary is machine-generated.

This study compares three diffusion tensor imaging (DTI) quality control (QC) software tools: DTI studio, DTIprep, and TORTOISE. It objectively analyzes their effectiveness in identifying and correcting DTI artifacts for improved image interpretation.

Keywords:
ArtifactDTIprepDTIstudioDiffusion tensor imaging (DTI)Quality controlTORTOISE

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Area of Science:

  • Neuroimaging
  • Medical Physics
  • Biomedical Engineering

Background:

  • Diffusion Tensor Imaging (DTI) is crucial for accurate diagnosis, but susceptible to artifacts.
  • Existing DTI quality control (QC) software have tradeoffs, with no consensus on optimal routines.
  • Understanding QC tool effectiveness is vital for reliable DTI data.

Purpose of the Study:

  • To quantitatively compare three popular DTI QC tools: DTI studio, DTIprep, and TORTOISE.
  • To analyze the pros and cons of each tool for specific DTI applications.
  • To assess artifact impact on tensor calculation and QC tool correction efficacy.

Main Methods:

  • Utilized synthetic and in vivo human brain data for artifact analysis.
  • Quantitatively evaluated artifact effects on tensor calculations.
  • Assessed the effectiveness of DTI studio, DTIprep, and TORTOISE in artifact identification and correction.

Main Results:

  • Detailed comparison of the technical basis and output impact of each QC tool.
  • Analysis of artifact correction capabilities across synthetic and in vivo datasets.
  • Evaluation of DTI QC tool functions, I/O formats, and pipeline integration.

Conclusions:

  • Provides an objective comparison to guide users in selecting appropriate DTI QC tools.
  • Highlights the importance of QC for reliable DTI data interpretation and diagnostic accuracy.
  • Facilitates informed choices for specific DTI applications and processing pipelines.