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 Experiment Videos

Fast and robust parameter estimation for statistical partial volume models in brain MRI.

Jussi Tohka1, Alex Zijdenbos, Alan Evans

  • 1Digital Media Institute/Signal Processing, Tampere University of Technology, FIN-33101, Finland. jussi.tohka@tut.fi

Neuroimage
|August 25, 2004
PubMed
Summary
This summary is machine-generated.

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

Brain ventricle morphology markers in predicting shunt surgery outcome in idiopathic normal-pressure hydrocephalus.

Fluids and barriers of the CNS·2026
Same author

Visual Cortical Response Variability in Infants at High Familial Likelihood for Autism.

bioRxiv : the preprint server for biology·2026
Same author

Causally informed, multifactorial pathways linking cognition and personality to adolescent mental health.

bioRxiv : the preprint server for biology·2026
Same author

Human cortical organoids recapitulate inter-individual variability in infant brain-growth trajectories.

Cell stem cell·2025
Same author

Multimodal approach to characterize surgically removed epileptogenic zone from patients with focal drug-resistant epilepsy: From operating room to wet lab.

Epilepsia open·2025
Same author

Comprehensive analysis platform to understand, remedy, and eliminate amyotrophic lateral sclerosis (CAPTURE ALS): Study protocol for a Canadian multicenter, multimodal, longitudinal observational study.

PloS one·2025
Same journal

Investigating the Neural Origins of Ear-EEG: A Correlation Study Using Scalp EEG Source Reconstruction.

NeuroImage·2026
Same journal

Hysteresis effects in visual and auditory perception and the comparison of underlying neural mechanisms - an EEG study.

NeuroImage·2026
Same journal

Short-term audio-tactile training affects cortical auditory speech-envelope tracking for incongruent but not congruent stimuli.

NeuroImage·2026
Same journal

Dissociable Neurocognitive Mechanisms of State and Trait Anxiety in Working Memory: Threat-Induced Alterations in Decision Dynamics and Attenuation of Large-Scale Network Reconfiguration.

NeuroImage·2026
Same journal

Neuro-Ocular Amyloid Characterization in Alzheimer's Disease via Cross-Site PET-MRI and Hierarchical Cross-Attention Driven Multimodal Representation Learning.

NeuroImage·2026
Same journal

Whole-brain network dynamics underlying intolerance of uncertainty.

NeuroImage·2026
See all related articles

We introduce a new Trimmed Minimum Covariance Determinant (TMCD) method for accurate partial volume estimation (PVE) in medical imaging. This robust approach efficiently estimates tissue types within voxels, improving brain MRI analysis.

Area of Science:

  • Medical Imaging Analysis
  • Computational Anatomy
  • Biomedical Signal Processing

Background:

  • Medical images contain voxels with mixed tissue types due to limited spatial resolution, a phenomenon known as partial volume effect (PVE).
  • Accurate estimation of tissue composition within each voxel is crucial for quantitative analysis in medical imaging.

Purpose of the Study:

  • To propose a novel Trimmed Minimum Covariance Determinant (TMCD) method for robust and efficient parameter estimation in the mixel model of PVE.
  • To evaluate the performance of the TMCD method compared to existing techniques, including expectation-maximization-like (EM-like) procedures.

Main Methods:

  • The proposed TMCD method involves initial voxel labeling by dominant tissue type, followed by removal of voxels prone to PVE.
  • Robust location estimators with high breakdown points are then used to estimate the mean and covariance of each tissue class.

Related Experiment Videos

  • The method is evaluated using classified images and compared with EM-like procedures for simultaneous parameter and PVE estimation.

    • Main Results:

    • The TMCD method demonstrates robust performance even with poor initial voxel classification.
    • Results are comparable to EM-like procedures but require significantly less computation time.
    • Effective segmentation of real brain MRI data using the proposed partial volume estimation method is reported.

    Conclusions:

    • The TMCD method provides accurate, robust, and efficient estimation of partial volume model parameters.
    • This is critical for advanced brain MRI analyses, including precise tissue volume quantification and cortical surface delineation.