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 Experiment Videos

Fast normalized cross correlation for motion tracking using basis functions.

A J H Hii1, C E Hann, J G Chase

  • 1Department of Mechanical Engineering, University of Canterbury, Private Bag 4800, Christchurch, New Zealand.

Computer Methods and Programs in Biomedicine
|April 4, 2006
PubMed
Summary
This summary is machine-generated.

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

Cheek support affects lung mechanics measurements of tidal-based spontaneous breathing.

Computer methods and programs in biomedicine·2020
Same author

Inspiratory respiratory mechanics estimation by using expiratory data for reverse-triggered breathing cycles.

Computer methods and programs in biomedicine·2019
Same author

The Lung Physiome and virtual patient models: From morphometry to clinical translation.

Morphologie : bulletin de l'Association des anatomistes·2019
Same author

Modelling intestinal glucose absorption in premature infants using continuous glucose monitoring data.

Computer methods and programs in biomedicine·2018
Same author

A virtual patient model for mechanical ventilation.

Computer methods and programs in biomedicine·2018
Same author

Viscoelastic power law parameters of in vivo human brain estimated by MR elastography.

Journal of the mechanical behavior of biomedical materials·2017
Same journal

A novel Milstein-stochastic epidemiologically-informed neural network for approaching epidemic dynamics: Application to Mpox disease.

Computer methods and programs in biomedicine·2026
Same journal

Accounting for approximation errors using surrogate-based parameter estimation of cardiac mechanics digital twins.

Computer methods and programs in biomedicine·2026
Same journal

Facial iPPG heatmap patterns based on period-aware autoencoder show association with carotid atherosclerosis towards non-contact hemodynamic assessment.

Computer methods and programs in biomedicine·2026
Same journal

Explainable machine learning models predict liver fibrosis risk and outcome in the general population: Development and multi-cohort external validation.

Computer methods and programs in biomedicine·2026
Same journal

Evaluation of surrogate endpoints for survival outcomes using the surrogate package in R.

Computer methods and programs in biomedicine·2026
Same journal

Relative spectral and frication-based descriptors as numerical indicators of place of articulation shifts in fricatives produced by Polish children.

Computer methods and programs in biomedicine·2026
See all related articles

A new method speeds up motion tracking for digital image-based elasto-tomography (DIET) breast cancer screening. This faster technique uses rectangular approximations for normalized cross correlation (NCC), making DIET more clinically viable.

Area of Science:

  • Biomedical Engineering
  • Medical Imaging
  • Computational Imaging

Background:

  • Digital image-based elasto-tomography (DIET) is a promising non-invasive breast cancer screening technique.
  • Clinical use of DIET requires efficient and accurate surface motion tracking of actuated breasts.
  • Normalized cross correlation (NCC) is accurate but computationally intensive, especially with Fast Fourier Transform (FFT) methods.

Purpose of the Study:

  • To develop a computationally efficient method for motion tracking in DIET.
  • To reduce the computational load of Normalized Cross Correlation (NCC) for real-time applications.
  • To enhance the feasibility of high-resolution DIET breast cancer screening.

Main Methods:

  • Introduced a novel NCC calculation method using rectangular approximations instead of landmark points.

Related Experiment Videos

  • Utilized automatically detected rectangular approximations as basis functions for rapid computation.
  • Validated the method's accuracy and speed against FFT-based NCC using simulated data, a breast phantom, and human skin.

    • Main Results:

    • The proposed NCC method demonstrated 37-150 times greater speed compared to FFT-based NCC.
    • Achieved comparable accuracy to traditional FFT-based NCC methods.
    • Successfully tracked thousands of points rapidly and accurately on various surfaces.

    Conclusions:

    • The novel NCC approach significantly reduces computational requirements for DIET motion tracking.
    • This advancement enables high-resolution, real-time tracking essential for clinical DIET applications.
    • The method enhances the practicality and potential widespread adoption of DIET for breast cancer screening.