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An optimized method for estimating intracranial volume from magnetic resonance images

J Eritaia1, S J Wood, G W Stuart

  • 1Cognitive Neuropsychiatry Unit, Applied Schizophrenia Division, Mental Health Research Institute of Victoria, Melbourne, Australia.

Insights

Measuring intracranial volume (ICV) using magnetic resonance imaging (MRI) can be done efficiently. A 1-in-10 sampling strategy maintains high accuracy, saving significant time in research.

Area of Science:

  • Neuroimaging
  • Radiology
  • Medical Imaging Analysis

Background:

  • Accurate measurement of intracranial volume (ICV) is crucial for neurological studies.
  • Existing protocols for ICV measurement using volumetric MRI lack formal efficiency and accuracy analysis.

Purpose of the Study:

  • To evaluate the accuracy and efficiency of different sampling strategies for ICV measurement from volumetric MRI.
  • To determine the optimal sampling method for reliable ICV estimation.

Main Methods:

  • Intracranial volume (ICV) was traced manually from every slice of 30 control participants' volumetric MRI datasets.
  • Estimated ICVs were calculated using progressive "1-in-x" slice sampling strategies.
  • Reliability and precision of each sampling strategy were assessed.

Main Results:

  • A "1-in-10" sampling strategy demonstrated virtually no reduction in reliability.
  • The reliability of the "1-in-10" sampling strategy exceeded 0.999.
  • This sampling method offers significant time savings without compromising accuracy.

Conclusions:

  • The "1-in-10" slice sampling strategy is a reliable and precise method for ICV measurement in volumetric MRI.
  • This efficient protocol allows for confident ICV tracing, optimizing research workflows.

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