Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Propagation of Action Potentials

Propagation of Action Potentials

The propagation of an action potential refers to the process by which a nerve impulse, or "action potential," travels along a neuron.
Neurons (nerve cells) have a resting membrane potential, with a slightly negative charge inside compared to outside. This is maintained by ion channels, such as sodium (Na+) and potassium (K+) channels, which control the flow of ions. When a stimulus, like a touch or a signal from another neuron, triggers the neuron, sodium channels open, allowing sodium ions to...

Imaging Biological Samples with Optical Microscopy

Imaging Biological Samples with Optical Microscopy

Optical microscopy uses optic principles to provide detailed images of samples. Antonie van Leeuwenhoek designed the first compound optical microscope in the 17th century to visualize blood cells, bacteria, and yeast cells. In 1830, Joseph Jackson Lister created an essentially modern light microscope. The 20th century saw the development of microscopes with enhanced magnification and resolution.
In optical microscopy, the specimen to be viewed is placed on a glass slide and clipped on the stage...

You might also read

Related Articles

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

Sort by

Same author

Editorial: Artificial intelligence advancing lung cancer screening and treatment.

Frontiers in oncology·2026

Same author

Anatomy-aware lymphoma lesion detection in whole-body PET/CT.

Frontiers in oncology·2026

Same author

Development and validation of a novel deep learning coronary artery plaque quantification model.

BMC medical imaging·2026

Same author

Kinetic modelling of [⁶⁸Ga]Ga-FAPI-46 PET in pancreaticobiliary lesions: distinguishing cancer from pancreatitis.

European journal of nuclear medicine and molecular imaging·2026

Same author

Sesquiterpenoids from the flower of <i>Chrysanthemum indicum</i> L. and their anti-lung cancer cytotoxic activity.

Natural product research·2026

Same author

TFAP2A regulates SGPP2 transcription to promote lipid accumulation and activate the Wnt/β-catenin signaling pathway to promote malignant progression in lung adenocarcinoma.

Journal of translational medicine·2026

Same journal

Correction to "On the shape of the radiation survival curve in tumor spheroids: The role of oxygen heterogeneity".

Medical physics·2026

Same journal

Multi-view constrained semi-supervised vertebra detection for 3D ultrasound spine volume.

Medical physics·2026

Same journal

Accuracy of quantitative <sup>177</sup>Lu SPECT/CT imaging: A systematic review.

Medical physics·2026

Same journal

Physics-constrained dual-domain network for CBCT reconstruction from orthogonal X-rays in gynecologic radiotherapy.

Medical physics·2026

Same journal

Decomposition-based harmonization for quantitative PET imaging across scanners and radiotracers.

Medical physics·2026

Same journal

Development and evaluation of an in vivo dose-based monitoring system for electron FLASH radiation therapy.

Medical physics·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Apr 27, 2026

From Voxels to Knowledge: A Practical Guide to the Segmentation of Complex Electron Microscopy 3D-Data

From Voxels to Knowledge: A Practical Guide to the Segmentation of Complex Electron Microscopy 3D-Data

Published on: August 13, 2014

Fast level-set based image segmentation using coherent propagation.

Chunliang Wang¹, Hans Frimmel², Örjan Smedby¹

¹Center for Medical Image Science and Visualization (CMIV), Linköping University, SE-58185 Linköping, Sweden and Division of Radiological Sciences (IMH), Linköping University, SE-58185 Linköping, Sweden.

Medical Physics

|July 4, 2014

Summary

This summary is machine-generated.

This study introduces a fast level-set algorithm using coherent propagation for 3D image segmentation. The new method significantly reduces computation time for medical image analysis, improving clinical workflow efficiency.

More Related Videos

Transient Optical Clearing Using Absorbing Molecules for Ex Vivo and In Vivo Imaging

Transient Optical Clearing Using Absorbing Molecules for Ex Vivo and In Vivo Imaging

Published on: July 11, 2025

Evaporation-reducing Culture Condition Increases the Reproducibility of Multicellular Spheroid Formation in Microtiter Plates

Evaporation-reducing Culture Condition Increases the Reproducibility of Multicellular Spheroid Formation in Microtiter Plates

Published on: March 7, 2017

Related Experiment Videos

Last Updated: Apr 27, 2026

From Voxels to Knowledge: A Practical Guide to the Segmentation of Complex Electron Microscopy 3D-Data

From Voxels to Knowledge: A Practical Guide to the Segmentation of Complex Electron Microscopy 3D-Data

Published on: August 13, 2014

Transient Optical Clearing Using Absorbing Molecules for Ex Vivo and In Vivo Imaging

Transient Optical Clearing Using Absorbing Molecules for Ex Vivo and In Vivo Imaging

Published on: July 11, 2025

Evaporation-reducing Culture Condition Increases the Reproducibility of Multicellular Spheroid Formation in Microtiter Plates

Evaporation-reducing Culture Condition Increases the Reproducibility of Multicellular Spheroid Formation in Microtiter Plates

Published on: March 7, 2017

Area of Science:

Medical Imaging
Computational Anatomy
Image Segmentation

Background:

Level-set methods are crucial for 3D image segmentation but suffer from long computation times, hindering clinical application.
Existing methods often struggle with noise and numerical errors, leading to inaccuracies and inefficiencies.

Purpose of the Study:

To develop a fast level-set algorithm utilizing coherent propagation for accelerated 3D image segmentation.
To evaluate the algorithm's performance on clinical datasets and compare it with existing methods.

Main Methods:

The coherent propagation algorithm enforces monotonic contour movement, preventing backward propagation from noise and enabling early detection of local convergence.
A novel gradual convergence scheme with a damping factor addresses overshoot errors, and the method is generalized to non-narrow band cases.
Integration with a distance-regularized level set eliminates the need for distance reinitialization.

Main Results:

The proposed algorithm achieves significant speed-ups: ~10x for brain segmentation, ~100x for aorta segmentation, and 50x for liver segmentation using a multiresolution approach.
Segmentation accuracy is high, with Dice coefficients exceeding 99% compared to the sparse field method.
The generalized coherent propagation algorithm demonstrates substantial processing time improvements on both synthetic and real medical images.

Conclusions:

A generalized coherent propagation algorithm offers a significant advancement in level-set-based image segmentation.
The developed method drastically reduces computation time, making it suitable for clinical workflows.
This approach enhances the efficiency and applicability of 3D medical image segmentation.