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Imaging Studies III: Computed Tomography01:27

Imaging Studies III: Computed Tomography

DefinitionComputed Tomography (CT) of the genitourinary (GU) tract is a non-invasive imaging modality that utilizes X-rays and computer processing to generate detailed cross-sectional images of the urinary system, encompassing the kidneys, ureters, bladder, and adjacent structures such as the adrenal glands.PurposeCT scans of the GU tract serve several diagnostic and therapeutic purposes, including:Diagnosis of Urinary Tract Diseases: Detects kidney stones, tumors, cysts, and congenital...
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Related Experiment Video

Updated: Jun 1, 2026

How to Measure Cortical Folding from MR Images: a Step-by-Step Tutorial to Compute Local Gyrification Index
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Published on: January 2, 2012

A comparison of voxel and surface based cortical thickness estimation methods.

Matthew J Clarkson1, M Jorge Cardoso, Gerard R Ridgway

  • 1Centre for Medical Image Computing, The Engineering Front Building, University College London, London WC1E 6BT, UK. m.clarkson@ucl.ac.uk

Neuroimage
|June 7, 2011
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Summary

Comparing magnetic resonance imaging (MRI) methods for cortical thickness analysis in neurodegenerative diseases, FreeSurfer showed better reproducibility than voxel-based approaches. Voxel-based methods require further development for longitudinal studies.

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Area of Science:

  • Neuroimaging
  • Computational anatomy
  • Neuroscience

Background:

  • In-vivo cortical thickness estimation using magnetic resonance imaging (MRI) is crucial for diagnosing and understanding neurodegenerative diseases.
  • Current computational methods for cortical thickness analysis are broadly categorized into surface-based and voxel-based approaches.
  • A direct comparison of these paradigms using clinical data is needed to guide methodology selection.

Purpose of the Study:

  • To compare the performance of the surface-based FreeSurfer method against two voxel-based methods for cortical thickness estimation.
  • To evaluate the impact of different anatomical atlases on regional statistics.
  • To assess the reproducibility and accuracy of these methods in clinical neurodegenerative disease data.

Main Methods:

  • Comparison of FreeSurfer (surface-based) with Laplacian and Registration-based (voxel-based) methods using clinical MRI data.
  • Assessment of regional statistics using two distinct anatomical atlases.
  • Evaluation of method reproducibility using same-day scan data and longitudinal changes.
  • Classification of patients versus controls using Support Vector Machines (SVM) based on cortical thickness measures.

Main Results:

  • The choice of anatomical atlas significantly impacts regional cortical thickness results.
  • FreeSurfer demonstrated significantly lower standard deviation of thickness difference on same-day scans compared to voxel-based methods, indicating superior reproducibility.
  • Voxel-based methods can detect similar group-wise patterns of significant thickness change as FreeSurfer.
  • Regional statistics varied between methods, and SVM classification did not yield significantly different results between voxel-based and FreeSurfer methods.
  • FreeSurfer currently provides a more plausible measure of longitudinal change over time.

Conclusions:

  • FreeSurfer offers higher reproducibility for cortical thickness estimation compared to current voxel-based methods.
  • While voxel-based methods show promise in detecting group differences, further refinement is needed for longitudinal analysis and consistent regional statistics.
  • The selection of an appropriate atlas is critical for accurate and reproducible cortical thickness measurements.