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

SYF2 suppression mitigates neurodegeneration in models of diverse forms of ALS.

Cell stem cell·2023
Same author

Haploinsufficiency leads to neurodegeneration in C9ORF72 ALS/FTD human induced motor neurons.

Nature medicine·2018
Same author

HEAT TRANSFER MODEL AND QUANTITATIVE ANALYSIS OF DEEP TISSUE INJURY.

International Mechanical Engineering Congress and Exposition : [proceedings]. International Mechanical Engineering Congress and Exposition·2015
Same author

Magnetic nanoparticle hyperthermia enhances radiation therapy: A study in mouse models of human prostate cancer.

International journal of hyperthermia : the official journal of European Society for Hyperthermic Oncology, North American Hyperthermia Group·2015
Same author

Thermal analysis of cancerous breast model.

International Mechanical Engineering Congress and Exposition : [proceedings]. International Mechanical Engineering Congress and Exposition·2014
Same author

SIMULATION OF DISCRETE BLOOD VESSEL EFFECTS ON THE THERMAL SIGNATURE OF A MELANOMA LESION.

International Mechanical Engineering Congress and Exposition : [proceedings]. International Mechanical Engineering Congress and Exposition·2014

Related Experiment Video

Updated: May 4, 2026

Quantitative Visualization and Detection of Skin Cancer Using Dynamic Thermal Imaging
06:08

Quantitative Visualization and Detection of Skin Cancer Using Dynamic Thermal Imaging

Published on: May 5, 2011

17.6K

Involuntary motion tracking for medical dynamic infrared thermography using a template-based algorithm.

Tze-Yuan Cheng1, Cila Herman1

  • 1Department of Mechanical Engineering, Johns Hopkins University, 3400 N. Charles Street, Baltimore, MD, USA 21218-2682.

Proceedings of Spie--The International Society for Optical Engineering
|January 7, 2014
PubMed
Summary

This study introduces a template-based tracking method to correct motion artifacts in dynamic infrared (IR) thermography for medical diagnosis. The approach accurately compensates for patient movement, enhancing the reliability of thermal signature analysis.

Keywords:
dynamic infrared imagingmotion trackingtemplate-based algorithm

More Related Videos

In Vivo Quantification of Hip Arthrokinematics during Dynamic Weight-bearing Activities using Dual Fluoroscopy
07:43

In Vivo Quantification of Hip Arthrokinematics during Dynamic Weight-bearing Activities using Dual Fluoroscopy

Published on: July 2, 2021

2.8K
Measuring 3D In-vivo Shoulder Kinematics using Biplanar Videoradiography
06:09

Measuring 3D In-vivo Shoulder Kinematics using Biplanar Videoradiography

Published on: March 12, 2021

3.2K

Related Experiment Videos

Last Updated: May 4, 2026

Quantitative Visualization and Detection of Skin Cancer Using Dynamic Thermal Imaging
06:08

Quantitative Visualization and Detection of Skin Cancer Using Dynamic Thermal Imaging

Published on: May 5, 2011

17.6K
In Vivo Quantification of Hip Arthrokinematics during Dynamic Weight-bearing Activities using Dual Fluoroscopy
07:43

In Vivo Quantification of Hip Arthrokinematics during Dynamic Weight-bearing Activities using Dual Fluoroscopy

Published on: July 2, 2021

2.8K
Measuring 3D In-vivo Shoulder Kinematics using Biplanar Videoradiography
06:09

Measuring 3D In-vivo Shoulder Kinematics using Biplanar Videoradiography

Published on: March 12, 2021

3.2K

Area of Science:

  • Medical Imaging
  • Biomedical Engineering
  • Thermal Analysis

Background:

  • Dynamic Infrared (IR) Thermography analyzes skin temperature variations for medical diagnosis.
  • Patient movement during IR imaging causes motion artifacts, reducing diagnostic accuracy.
  • Accurate thermal signature analysis is crucial for detecting skin abnormalities.

Purpose of the Study:

  • To develop and evaluate a motion artifact compensation method for dynamic IR thermography.
  • To improve the accuracy and robustness of thermal signature analysis in medical applications.
  • To address the challenge of involuntary patient movements during IR image acquisition.

Main Methods:

  • A template-based tracking approach using an affine warping model was proposed.
  • The Lucas-Kanade algorithm was employed to optimize motion parameters.
  • A weighting mask was incorporated to enhance algorithmic robustness.

Main Results:

  • The proposed tracking approach successfully compensated for motion artifacts in IR image sequences.
  • Satisfactory tracking results were achieved in both steady-state and thermal recovery trials.
  • The method demonstrated robustness, particularly during thermal recovery analysis.

Conclusions:

  • The developed template-based tracking method effectively mitigates motion artifacts in dynamic IR thermography.
  • This technique enhances the reliability of analyzing temporal skin temperature variations for medical diagnosis.
  • The approach offers a robust solution for improving the accuracy of IR-based medical assessments.