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

Low-Density Lipoprotein Cholesterol Is Independently Associated with White Matter Injury Beyond Coronary Artery Calcium: Insights into Brain Aging.

Journal of clinical medicine·2026
Same author

Early Identification of Atherosclerosis in People Living with HIV by Coronary Computed Tomography Angiography.

Diagnostics (Basel, Switzerland)·2026
Same author

Comparative analysis of plaque morphology in coronary and carotid arteries with multidetector computed tomography angiography.

Postepy w kardiologii interwencyjnej = Advances in interventional cardiology·2026
Same author

International expert consensus on thermal ablation for benign thyroid nodules (2025 Edition).

International journal of surgery (London, England)·2026
Same author

An Early Warning Marker in Acute Respiratory Failure: The Prognostic Significance of the PaCO<sub>2</sub>-ETCO<sub>2</sub> Gap During Noninvasive Ventilation.

Medicina (Kaunas, Lithuania)·2026
Same author

Hemimyelomeningocele: a systematic review and meta-analysis of the literature.

Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery·2026
Same journal

Physiology-guided Self-supervised Learning for Simultaneous Dual-Tracer PET Separation.

IEEE transactions on medical imaging·2026
Same journal

Informed-Exploration Reinforcement Learning for Automated Virtual Coronary Intervention Planning.

IEEE transactions on medical imaging·2026
Same journal

4D Reconstruction of Fetal Left Ventricle from Echocardiography via 2.5D Radial Segmentation and Graph-Fourier Reconstruction.

IEEE transactions on medical imaging·2026
Same journal

Generalised Medical Phrase Grounding.

IEEE transactions on medical imaging·2026
Same journal

EndoLRMGS: Combining Large Reconstruction Modelling and Gaussian Splatting for Complete Endoscopic Scene Reconstruction.

IEEE transactions on medical imaging·2026
Same journal

A Neural-Analytical Fusion Scatter Correction Method for Multi-Source CT Using Equivalent High-Order Scatter.

IEEE transactions on medical imaging·2026
See all related articles

Related Experiment Video

Updated: May 20, 2026

Measuring Connectivity in the Primary Visual Pathway in Human Albinism Using Diffusion Tensor Imaging and Tractography
13:26

Measuring Connectivity in the Primary Visual Pathway in Human Albinism Using Diffusion Tensor Imaging and Tractography

Published on: August 11, 2016

SMT: a reliability based interactive DTI tractography algorithm.

Burak Yoldemir1, Burak Acar, Zeynep Firat

  • 1VAVlab, Department of Electrical and Electronics Engineering, Boğaziçi University, Istanbul, Turkey. yoldemir@gmail.com

IEEE Transactions on Medical Imaging
|August 2, 2012
PubMed
Summary
This summary is machine-generated.

Split and Merge Tractography (SMT) enhances brain fiber reconstruction by interactively assessing pathways and ranking their reliability. This novel algorithm improves upon existing methods by highlighting overlooked pathways and suppressing errors in diffusion weighted imaging analysis.

More Related Videos

DTI of the Visual Pathway - White Matter Tracts and Cerebral Lesions
10:05

DTI of the Visual Pathway - White Matter Tracts and Cerebral Lesions

Published on: August 26, 2014

Fiber Connections of the Supplementary Motor Area Revisited: Methodology of Fiber Dissection, DTI, and Three Dimensional Documentation
16:23

Fiber Connections of the Supplementary Motor Area Revisited: Methodology of Fiber Dissection, DTI, and Three Dimensional Documentation

Published on: May 23, 2017

Related Experiment Videos

Last Updated: May 20, 2026

Measuring Connectivity in the Primary Visual Pathway in Human Albinism Using Diffusion Tensor Imaging and Tractography
13:26

Measuring Connectivity in the Primary Visual Pathway in Human Albinism Using Diffusion Tensor Imaging and Tractography

Published on: August 11, 2016

DTI of the Visual Pathway - White Matter Tracts and Cerebral Lesions
10:05

DTI of the Visual Pathway - White Matter Tracts and Cerebral Lesions

Published on: August 26, 2014

Fiber Connections of the Supplementary Motor Area Revisited: Methodology of Fiber Dissection, DTI, and Three Dimensional Documentation
16:23

Fiber Connections of the Supplementary Motor Area Revisited: Methodology of Fiber Dissection, DTI, and Three Dimensional Documentation

Published on: May 23, 2017

Area of Science:

  • Neuroimaging
  • Computational Neuroscience
  • Medical Image Analysis

Background:

  • Tractography reconstructs brain fiber bundles using diffusion weighted magnetic resonance imaging (DWI).
  • Deterministic tractography faces challenges with fiber crossings and uncertainties, despite its clinical utility.
  • Existing diffusion models like DTI and HARDI have limitations in accurately representing complex fiber architectures.

Purpose of the Study:

  • To introduce a novel generic algorithm, Split and Merge Tractography (SMT), for real-time, interactive, and reliability-ranked assessment of potential neural pathways.
  • To address the uncertainties in deterministic tractography, particularly at fiber kissing and crossing points.
  • To improve the communication of true information content from diffusion data without sacrificing tractography usability.

Main Methods:

  • SMT algorithm processes precomputed tracts and diffusion data (DTI, HARDI) to generate reliability-ranked pathways.
  • It involves splitting unreliable tract segments and clustering short tracts to sample the space of complete pathways.
  • The method utilizes a histogram of tract clusters for efficient, real-time pathway assessment, implemented with DTI and fourth-order Runge-Kutta integration.

Main Results:

  • Phantom experiments showed SMT highlights problematic regions and identifies pathways missed by standard streamline tractography.
  • Real data experiments demonstrated good correlation with known brain anatomy and effective suppression of erroneous tracts through interactive reliability ranking.
  • Comparative analysis revealed SMT has a lower computational load than a similar global optimization-based method and better anatomical correlation.

Conclusions:

  • SMT offers a significant advancement in tractography by providing interactive, reliability-ranked pathway assessment.
  • The algorithm effectively addresses limitations of deterministic tractography, especially in complex white matter regions.
  • SMT presents a computationally efficient and anatomically accurate alternative for in vivo fiber bundle reconstruction from DWI data.