Measuring myofiber orientations from high-frequency ultrasound images using multiscale decompositions

Xulei Qin, Baowei Fei

Research output: Contribution to journalArticlepeer-review

14 Scopus citations

Abstract

High-frequency ultrasound (HFU) has the ability to image both skeletal and cardiac muscles. The quantitative assessment of these myofiber orientations has a number of applications in both research and clinical examinations; however, difficulties arise due to the severe speckle noise contained in the HFU images. Thus, for the purpose of automatically measuring myofiber orientations from two-dimensional HFU images, we propose a two-step multiscale image decomposition method. It combines a nonlinear anisotropic diffusion filter and a coherence enhancing diffusion filter to extract myofibers. This method has been verified by ultrasound data from simulated phantoms, excised fiber phantoms, specimens of porcine hearts, and human skeletal muscles in vivo. The quantitative evaluations of both phantoms indicated that the myofiber measurements of our proposed method were more accurate than other methods. The myofiber orientations extracted from different layers of the porcine hearts matched the prediction of an established cardiac mode and demonstrated the feasibility of extracting cardiac myofiber orientations from HFU images ex vivo. Moreover, HFU also demonstrated the ability to measure myofiber orientations in vivo.

Original languageEnglish (US)
Pages (from-to)3907-3924
Number of pages18
JournalPhysics in medicine and biology
Volume59
Issue number14
DOIs
StatePublished - Jul 21 2014
Externally publishedYes

Keywords

  • multiscale decomposition
  • myofiber orientation
  • ultrasound imaging

ASJC Scopus subject areas

  • Radiological and Ultrasound Technology
  • Radiology Nuclear Medicine and imaging

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