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 Video

Updated: Jun 20, 2026

Control of Cell Adhesion using Hydrogel Patterning Techniques for Applications in Traction Force Microscopy
12:26

Control of Cell Adhesion using Hydrogel Patterning Techniques for Applications in Traction Force Microscopy

Published on: January 29, 2022

Efficient implementations of a pseudodynamical stochastic filtering strategy for static elastography.

Biswanath Banerjee1, Debasish Roy, Ram Mohan Vasu

  • 1Department of Civil Engineering, Structures Laboratory, Indian Institute of Science, Bangalore 560012, India.

Medical Physics
|September 15, 2009
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

Characterizing and screening of wheat genotypes under salinity stress condition using thermography and multivariate techniques.

Scientific reports·2025
Same author

The GLP-1 Receptor Agonist Dulaglutide Attenuates Hepatic Steatosis in Obesity via a Weight-Independent Mechanism.

Diabetes·2025
Same author

Dual treatment with Val-083 and AZD1775 shows potent anti-tumor activity in diffuse midline glioma models.

NPJ precision oncology·2025
Same author

Pitfalls in the Diagnosis of Wilson Disease.

Current neurology and neuroscience reports·2025
Same author

Assessing the accuracy of multi-model approaches for downscaling land surface temperature across diverse agroclimatic zones.

Scientific reports·2025
Same author

Role of PARP Inhibitors: A New Hope for Breast Cancer Therapy.

International journal of molecular sciences·2025
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

This study introduces pseudodynamic Kalman filters for efficient elasticity imaging, reconstructing soft tissue properties from displacement data. The pseudodynamic ensemble Kalman filter (PD-EnKF) demonstrated superior robustness and accuracy compared to other methods.

Area of Science:

  • Medical Imaging
  • Computational Mechanics
  • Biomedical Engineering

Background:

  • Elasticity imaging reconstructs soft tissue mechanical properties, crucial for disease diagnosis.
  • Traditional methods like quasi-Newton methods (QNM) involve computationally intensive matrix inversions.
  • Partial and static displacement data present challenges for accurate reconstruction.

Purpose of the Study:

  • To establish a computationally efficient pseudodynamical filtering setup for elasticity imaging.
  • To reconstruct shear modulus distribution in soft-tissue organs using limited displacement data.
  • To compare the performance of pseudodynamic extended Kalman filter (PD-EKF) and pseudodynamic ensemble Kalman filter (PD-EnKF) against QNM.

Main Methods:

  • Development of pseudodynamic filtering approaches (PD-EKF and PD-EnKF) utilizing recursion over pseudotime.

Related Experiment Videos

Last Updated: Jun 20, 2026

Control of Cell Adhesion using Hydrogel Patterning Techniques for Applications in Traction Force Microscopy
12:26

Control of Cell Adhesion using Hydrogel Patterning Techniques for Applications in Traction Force Microscopy

Published on: January 29, 2022

  • Parsimonious representation of states to bypass explicit regularization.
  • Application to elasticity imaging using statically recorded and partially measured displacement data.

    • Main Results:

    • The pseudodynamic ensemble Kalman filter (PD-EnKF) showed the highest robustness.
    • PD-EnKF exhibited no sensitivity to process noise covariance.
    • Good reconstruction quality was achieved with PD-EnKF even with small ensemble sizes.

    Conclusions:

    • Pseudodynamic Kalman filters offer an efficient alternative for elasticity imaging.
    • PD-EnKF is a robust and reliable method for reconstructing soft tissue mechanical properties.
    • The proposed methods are suitable for scenarios with limited and noisy displacement data.