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

Attribution Theory00:56

Attribution Theory

13.8K
Behavior is a product of both the situation (e.g., cultural influences, social roles, and the presence of bystanders) and of the person (e.g., personality characteristics). Subfields of psychology tend to focus on one influence or behavior over others. Situationism is the view that our behavior and actions are determined by our immediate environment and surroundings. In contrast, dispositionism holds that our behavior is determined by internal factors (Heider, 1958).
13.8K
Fundamental Attribution Error01:14

Fundamental Attribution Error

13.8K
According to some social psychologists, people tend to overemphasize internal factors as explanations—or attributions—for the behavior of other people. They tend to assume that the behavior of another person is a trait of that person, and to underestimate the power of the situation on the behavior of others. They tend to fail to recognize when the behavior of another is due to situational variables, and thus to the person’s state. This erroneous assumption is...
13.8K
Attribution01:26

Attribution

306
In social interactions, individuals frequently seek to understand the motivations and causes behind others' behaviors. This fundamental aspect of social perception, known as attribution, plays a crucial role in shaping interpersonal relationships and guiding future actions. Attribution refers to the cognitive process through which people infer the reasons behind others' behaviors, allowing them to assess character traits, intentions, and situational influences.Attribution Theory and Its...
306
Sign Test for Matched Pairs01:17

Sign Test for Matched Pairs

428
The sign test for matched pairs offers a robust method for comparing two paired samples, often for the effects of an intervention in one of them. This method is very useful in situations where the underlying distribution of the data is unknown. The test compares two related samples—often pre- and post-treatment measurements on the same subjects—to determine if there are significant differences in their median values.
To conduct the sign test, we first calculate the differences in...
428
Protein Networks02:26

Protein Networks

4.6K
An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions.
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
4.6K
Personal Choice and Fate Attributions01:19

Personal Choice and Fate Attributions

182
Some individuals interpret life events as a consequence of their personal choices and actions, while others believe that outcomes are dictated by fate or destiny. This divergence in perspective has been examined in psychological and cross-cultural studies, particularly in relation to religious faith and cultural beliefs about causality.Fate and Personal ResponsibilityPeople who emphasize personal responsibility view events as direct consequences of their decisions. For instance, breaking a leg...
182

You might also read

Related Articles

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

Sort by
Same author

A novel application of radiomics analysis for the evaluation of intradome transient velocity in cerebral aneurysms.

Journal of neurosurgery·2026
Same author

A Novel Application of Radiomics Analysis for the Evaluation of Centroid Radii Model Texture on the Surface of Cerebral Aneurysms.

Stroke (Hoboken, N.J.)·2026
Same author

Y-Stent-Assisted Coiling of Wide-Necked Intracranial Aneurysms With the Neuroform Atlas Stent System.

Stroke (Hoboken, N.J.)·2026
Same author

Morphological characteristics of healthy and aneurysmal internal carotid artery bifurcations.

Journal of neurosurgery·2026
Same author

A novel application of radiomics for the evaluation of transient wall shear stress on the surface of cerebral aneurysms.

Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia·2026
Same author

PET/CT imaging of tuberculosis lung lesions in marmosets treated with different drug regimens aligns with human clinical outcomes.

Science translational medicine·2026

Related Experiment Video

Updated: Feb 13, 2026

Soft Pneumatic Robot Modulates Graph Theory Metrics of Brain Network for Hand Rehabilitation After Stroke
05:30

Soft Pneumatic Robot Modulates Graph Theory Metrics of Brain Network for Hand Rehabilitation After Stroke

Published on: October 10, 2025

505

Cerebrovascular network registration via an efficient attributed graph matching technique.

Sepideh Almasi1, Alexandra Lauric2, Adel Malek2

  • 1Department Electrical and Computer Engineering, Tufts University, Medford, MA, USA.

Medical Image Analysis
|March 9, 2018
PubMed
Summary

This study introduces a novel graph-based method for accurate vascular network registration, improving diagnostic and prognostic analyses. The approach enhances registration by matching bifurcations and branches, overcoming limitations of traditional intensity-based methods.

Keywords:
Geometrical graph-based modelsGraph matchingVessel registration

More Related Videos

Four-Dimensional CT Analysis Using Sequential 3D-3D Registration
05:05

Four-Dimensional CT Analysis Using Sequential 3D-3D Registration

Published on: November 23, 2019

8.5K
Imaging and 3D Reconstruction of Cerebrovascular Structures in Embryonic Zebrafish
08:00

Imaging and 3D Reconstruction of Cerebrovascular Structures in Embryonic Zebrafish

Published on: April 22, 2014

15.4K

Related Experiment Videos

Last Updated: Feb 13, 2026

Soft Pneumatic Robot Modulates Graph Theory Metrics of Brain Network for Hand Rehabilitation After Stroke
05:30

Soft Pneumatic Robot Modulates Graph Theory Metrics of Brain Network for Hand Rehabilitation After Stroke

Published on: October 10, 2025

505
Four-Dimensional CT Analysis Using Sequential 3D-3D Registration
05:05

Four-Dimensional CT Analysis Using Sequential 3D-3D Registration

Published on: November 23, 2019

8.5K
Imaging and 3D Reconstruction of Cerebrovascular Structures in Embryonic Zebrafish
08:00

Imaging and 3D Reconstruction of Cerebrovascular Structures in Embryonic Zebrafish

Published on: April 22, 2014

15.4K

Area of Science:

  • Medical Imaging
  • Computational Anatomy
  • Biomedical Engineering

Background:

  • Vascular network registration is crucial for comparative analyses in diagnostic and prognostic studies.
  • Intensity-based registration methods struggle with low spatial texture and sparse structural content in vascular networks, leading to inefficiencies and errors.
  • Existing methods lack robustness to variations in vascular structure and imaging parameters.

Purpose of the Study:

  • To develop an enhanced feature-based registration method for vascular networks using graph topology and shape information.
  • To improve the accuracy and efficiency of vascular network registration, particularly for clinical applications.
  • To overcome the computational complexity of traditional graph matching techniques for registration.

Main Methods:

  • A novel feature-based registration approach utilizing graph topology to represent vascular networks.
  • Development of a node signature incorporating edge correspondences to simplify graph matching.
  • Recasting the graph matching problem from a Quadratic Assignment Problem (QAP) to a Linear Assignment Problem (LAP) for computational efficiency.
  • Validation using clinical 3-D angiography of human cerebrovasculature and synthetic datasets.

Main Results:

  • The proposed method significantly enhances vascular network registration performance by leveraging graph-based shape information.
  • The transformation of the QAP to an LAP effectively reduces computational burden, enabling scalability to larger datasets.
  • The registration method demonstrates robustness against variations in structural and algorithmic parameters.
  • Successful validation on clinical inter-subject and multimodal cerebrovascular data confirms the method's efficacy.

Conclusions:

  • The developed graph-based registration method offers a robust and efficient solution for analyzing vascular networks.
  • This approach improves upon traditional intensity-based methods, providing more accurate and reliable registration for diagnostic and prognostic applications.
  • The method's scalability and validated performance on clinical data highlight its potential for widespread use in medical imaging research and practice.