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Updated: Jul 19, 2025

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Improved right ventricular strain estimation in rats using anisotropic diffusion filtering.

Tanmay Mukherjee1, Sunder Neelakantan1, Gaurav Choudhary2,3

  • 1Department of Biomedical Engineering, Texas A&M University, College Station, TX 77843, USA.

Proceedings of Spie--The International Society for Optical Engineering
|August 16, 2023
PubMed
Summary
This summary is machine-generated.

Acoustic shadowing in rodent echocardiography can distort cardiac strain analysis. This study developed a method to identify and correct for shadowing, improving the accuracy of speckle tracking echocardiography measurements in the right ventricle.

Keywords:
2D echocardiographydenoisingdiffusion filteringsmall animalsspeckle trackingstrain estimation

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Area of Science:

  • Cardiovascular imaging
  • Biomedical engineering
  • Animal models

Background:

  • Speckle tracking echocardiography (STE) is valuable for assessing cardiac function and predicting outcomes.
  • Acoustic shadowing in rodent models, particularly affecting right ventricular free wall (RVFW) strain analysis, limits STE accuracy.
  • Shadowing artifacts are caused by rodent anatomy and operator skill, leading to non-physical strain measurements.

Purpose of the Study:

  • To minimize acoustic shadowing effects on STE in rodent right ventricular imaging.
  • To differentiate between true cardiac motion and shadow-induced artifacts.
  • To improve the accuracy of RVFW strain quantification in challenging imaging conditions.

Main Methods:

  • Parasternal 2D echocardiography and short-axis B-mode imaging of the RVFW in a rodent pulmonary hypertension model.
  • Application of an edge-enhancing anisotropic diffusion (EED) denoising algorithm.
  • Custom STE pipeline to identify speckles within and outside shadowed regions and suppress non-physical strains.

Main Results:

  • The EED algorithm enhanced the distinction between cardiac walls and shadows.
  • Identification of speckles and their movement across shadow boundaries corrected for artifacts.
  • STE analysis on processed images revealed expected circumferential contractions in the RVFW, unlike uniform strains from unprocessed images.

Conclusions:

  • The developed method effectively reduces shadowing artifacts in rodent STE.
  • This technique enhances the reliability of RVFW strain analysis for prognostic applications.
  • Improved STE accuracy aids in understanding cardiac mechanics in small animal models.