Enhancement of elasticity images using locally adaptive Gaussian filtering

Kenneth Hoyt, Kevin J. Parker

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The purpose of this research was to introduce and analyze a technique for enhancing elasticity image quality using locally adaptive Gaussian filtering. To assess the performance of this filtering method for reconstructing images with missing or degraded data, heterogeneous images were simulated with circular regions of intensity twice that of the surrounding material. Missing pixel data was introduced by thresholding a uniformly distributed noise matrix. Results demonstrate locally adaptive Gaussian filtering accurately reconstructs the original image while preserving boundary detail. To further analyze the performance of this filtering technique, multiple local image regions were suppressed and normally distributed noise superimposed. Consequently, locally adaptive Gaussian filtering is capable of reconstructing local missing data whereas both median and conventional Gaussian filtering fails. Using compressional elastographic experimental data, results illustrate that locally adaptive Gaussian filtering is capable of minimizing decorrelation noise artifacts while preserving lesion boundaries. Additionally, results obtained using vibrational shear velocity sonoelastography further illustrate the ability of locally adaptive Gaussian filtering to enhance image quality by minimizing estimator noise degradation in comparison to conventional spatial filtering techniques. Overall, results indicate the feasibility of employing this spatial filtering technique for improving elasticity image quality while preserving lesion boundaries.

Original languageEnglish (US)
Title of host publicationMedical Imaging 2007
Subtitle of host publicationUltrasonic Imaging and Signal Processing
DOIs
StatePublished - Oct 16 2007
EventMedical Imaging 2007: Ultrasonic Imaging and Signal Processing - San Diego, CA, United States
Duration: Feb 18 2007Feb 19 2007

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume6513
ISSN (Print)1605-7422

Other

OtherMedical Imaging 2007: Ultrasonic Imaging and Signal Processing
CountryUnited States
CitySan Diego, CA
Period2/18/072/19/07

Keywords

  • Adaptive filtering
  • Elasticity imaging
  • Elastography
  • Shear velocity imaging
  • Sonoelastography

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Biomaterials
  • Atomic and Molecular Physics, and Optics
  • Radiology Nuclear Medicine and imaging

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  • Cite this

    Hoyt, K., & Parker, K. J. (2007). Enhancement of elasticity images using locally adaptive Gaussian filtering. In Medical Imaging 2007: Ultrasonic Imaging and Signal Processing [65131F] (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 6513). https://doi.org/10.1117/12.709446