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

You might also read

Related Articles

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

Sort by
Same author

Simultaneous Cerebral Blood Flow and Cerebrovascular Reactivity Obtained From Novel Multi-Band Multi-Echo Pseudo-Continuous Arterial Spin Labeling (M2-PCASL) Sequence: A Test-Retest Reliability Study.

Magnetic resonance in medicine·2026
Same author

Cortical tortuosity as a potential clinical biomarker for Alzheimer's disease: A 3D MRI analysis of brain morphological changes.

NeuroImage. Clinical·2025
Same author

Slope Chain Code-based scale-independent tortuosity measurement on retinal vessels.

Experimental eye research·2025
Same author

Inter- and Intra-Operator Variability of Regularized Backscatter Quantitative Ultrasound for the Characterization of Breast Masses.

Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine·2023
Same author

Cortical Thickness Estimation: A Comparison of FreeSurfer and Three Voxel-Based Methods in a Test-Retest Analysis and a Clinical Application.

Brain topography·2021
Same author

A novel voxel-based method to estimate cortical sulci width and its application to compare patients with Alzheimer's disease to controls.

NeuroImage·2019

Related Experiment Video

Updated: Jun 24, 2025

Three-Dimensional Shape Modeling and Analysis of Brain Structures
05:33

Three-Dimensional Shape Modeling and Analysis of Brain Structures

Published on: November 14, 2019

7.1K

3D Tortuosity computation as a shape descriptor and its application to brain structure analysis.

Maria-Julieta Mateos1, Ernesto Bribiesca2, Adolfo Guzmán-Arenas3

  • 1Graduate Program in Computer Science and Engineering, Universidad Nacional Autónoma de México, Mexico City, México. julieta8a3@gmail.com.

BMC Medical Imaging
|June 4, 2024
PubMed
Summary

We developed a new 3D tortuosity measurement to analyze brain structures. This method identified significant differences in Alzheimer's disease (AD) patients, showing potential as an AD biomarker.

Keywords:
3D tortuosityAlzheimer’s diseaseBrain morphologyDiscrete tortuosity

More Related Videos

Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases
09:33

Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases

Published on: July 28, 2013

28.4K
Role of Diffusion MRI Tractography in Endoscopic Endonasal Skull Base Surgery
09:53

Role of Diffusion MRI Tractography in Endoscopic Endonasal Skull Base Surgery

Published on: July 5, 2021

3.6K

Related Experiment Videos

Last Updated: Jun 24, 2025

Three-Dimensional Shape Modeling and Analysis of Brain Structures
05:33

Three-Dimensional Shape Modeling and Analysis of Brain Structures

Published on: November 14, 2019

7.1K
Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases
09:33

Diffusion Tensor Magnetic Resonance Imaging in the Analysis of Neurodegenerative Diseases

Published on: July 28, 2013

28.4K
Role of Diffusion MRI Tractography in Endoscopic Endonasal Skull Base Surgery
09:53

Role of Diffusion MRI Tractography in Endoscopic Endonasal Skull Base Surgery

Published on: July 5, 2021

3.6K

Area of Science:

  • Medical Imaging
  • Biomarker Discovery
  • Neuroscience

Background:

  • Tortuosity is a key shape descriptor in image analysis, especially for medical applications.
  • Existing methods for tortuosity quantification are primarily 2D.
  • 3D tortuosity analysis is needed for complex structures like brain anatomy.

Purpose of the Study:

  • To introduce a novel method for quantifying tortuosity in 3D voxelized objects.
  • To evaluate the utility of 3D tortuosity as a shape descriptor for brain structures.
  • To investigate the potential of 3D tortuosity as a biomarker for Alzheimer's disease (AD).

Main Methods:

  • Extended the 2D Slope Chain Code (SCC) to a 3D approach for curve representation.
  • Applied the 3D tortuosity () calculation to characterize brain structures.
  • Compared tortuosity values between Alzheimer's disease patients and control subjects.

Main Results:

  • Significant differences in were observed between AD patients and controls.
  • Specific findings included variations in the left central sulcus and four major brain lobes.
  • The study demonstrated the sensitivity of to neurodegenerative changes.

Conclusions:

  • The proposed 3D tortuosity quantification method is effective for analyzing complex anatomical shapes.
  • 3D tortuosity shows promise as a novel imaging biomarker for detecting Alzheimer's disease.
  • Further research can explore its application in other neurological conditions.