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

Brain Imaging01:14

Brain Imaging

Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans),  magnetic resonance imaging (MRI),  functional magnetic resonance imaging (fMRI), and Transcranial Magnetic Stimulation (TMS).

You might also read

Related Articles

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

Sort by
Same author

Machine-learning-assisted artificial olfactory colorimetric sensor array for bladder cancer early detection from urinary volatile organic compounds.

Biosensors & bioelectronics·2026
Same author

Decouple-Then-Synergize: A Self-Paced Collaborative Learning Network for RGB-T Snowy Urban Scene Parsing.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same author

Targeting Osteoclastogenesis: Sabutoclax reduces tumor-associated osteolysis and tumor burden within the bone microenvironment.

American journal of cancer research·2026
Same author

Isobavachin inhibits osteoclastogenesis in inflammatory osteolysis loss by modulating the ROS-mediated Nrf2/HO-1 signaling pathway.

The Journal of pharmacy and pharmacology·2026
Same author

Safety and efficacy of direct versus conventional transfer to angiography suite in patients with severe acute stroke treated with thrombectomy (DIRECT ANGIO) in France: a multicentre, open-label, blinded-endpoint, randomised controlled trial.

The Lancet. Neurology·2026
Same author

CT-guided cyanoacrylate injection for spinal cerebrospinal fluid leaks in spontaneous intracranial hypotension: outcomes from an expanded cohort.

Journal of neuroradiology = Journal de neuroradiologie·2026
Same journal

[Advances in research on neuroelectrophysiological characteristics of post-stroke cognitive impairment based on quantitative electroencephalography and acupuncture interventions].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi·2026
Same journal

[Mechanisms and applications of magnesium ion-regulated stem cell functions in promoting tendon-bone interface healing].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi·2026
Same journal

[Applications and challenges of ultra-high molecular weight polyethylene fibers in minimally invasive medical devices].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi·2026
Same journal

[Research on auditory neurofeedback technology and its multi-disciplinary applications].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi·2026
Same journal

[Application and perspective of novel auditory intervention paradigms based on verbal and nonverbal stimuli for severe traumatic brain injury].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi·2026
Same journal

[Research progress on the neuromodulation targets in stroke rehabilitation].

Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi·2026
See all related articles

Related Experiment Video

Updated: Jul 1, 2026

Concurrent EEG and Functional MRI Recording and Integration Analysis for Dynamic Cortical Activity Imaging
11:28

Concurrent EEG and Functional MRI Recording and Integration Analysis for Dynamic Cortical Activity Imaging

Published on: June 30, 2018

[Brain MRI image segmentation based on active contour model using electrostatic field method].

Liang Liao1, Tusheng Lin, Weidong Zhang

  • 1School of Electronic and Information Engineering, South China University of Technology, Guangzhou 510640, China.

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi = Journal of Biomedical Engineering = Shengwu Yixue Gongchengxue Zazhi
|September 16, 2008
PubMed
Summary
This summary is machine-generated.

This study introduces an enhanced Snake algorithm for medical image segmentation, improving accuracy with a novel Greedy method and electrostatic model. The modified algorithm refines adjacent point selection and external forces for better segmentation results.

More Related Videos

Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images
14:08

Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images

Published on: April 13, 2013

High-resolution Functional Magnetic Resonance Imaging Methods for Human Midbrain
10:06

High-resolution Functional Magnetic Resonance Imaging Methods for Human Midbrain

Published on: May 10, 2012

Related Experiment Videos

Last Updated: Jul 1, 2026

Concurrent EEG and Functional MRI Recording and Integration Analysis for Dynamic Cortical Activity Imaging
11:28

Concurrent EEG and Functional MRI Recording and Integration Analysis for Dynamic Cortical Activity Imaging

Published on: June 30, 2018

Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images
14:08

Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images

Published on: April 13, 2013

High-resolution Functional Magnetic Resonance Imaging Methods for Human Midbrain
10:06

High-resolution Functional Magnetic Resonance Imaging Methods for Human Midbrain

Published on: May 10, 2012

Area of Science:

  • Computer Vision
  • Medical Imaging
  • Algorithm Development

Context:

  • Medical image segmentation is crucial for diagnosis and treatment planning.
  • Existing segmentation algorithms face challenges with accuracy and efficiency.
  • The Snake algorithm is a popular active contour model for image segmentation.

Purpose:

  • To present a modified Snake algorithm for enhanced medical image segmentation.
  • To improve the Greedy method with a new adjacent point selection strategy.
  • To introduce an external image force based on an electrostatic field model.

Summary:

  • The proposed algorithm enhances the Greedy method by incorporating a novel adjacent point selection strategy for improved snake point identification.
  • A new external image force, derived from an electrostatic field model, is integrated to guide the segmentation process.
  • Simplified force field computations are achieved through image preprocessing, enhancing computational efficiency.

Impact:

  • The modified Snake algorithm demonstrates improved accuracy and efficiency in medical image segmentation tasks.
  • This advancement can lead to more precise diagnostic tools and better treatment planning.
  • The study validates the method through comparative experiments, highlighting its practical applicability.