Clutter filtering strategies for peripheral muscle perfusion imaging using ultrasound

Michael F. Insana, Yang Zhu, Somaye Babaei, Denise Medina Almora, L. Wawrzyniec Dobrucki, Craig K. Abbey

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


In this report, we explore the strengths and limitations of principal component analysis (PCA) and independent component analysis (ICA) for clutter and noise filtering in ultrasonic peripheral perfusion imaging. The advantages of pre-filtering spatial registration to reduce the bandwidth of coherent clutter motion is also considered. PCA methods excel when the echo covariance exhibits a significant blood-scattering component orthogonal to the tissue clutter component. This situation exists in peripheral perfusion imaging when the echo signals are temporally stationary and normally distributed. ICA methods separate non-orthogonal blood-clutter echo components often found in moving clutter, but only for echo signals with either non-normal-amplitude distributions or nonstationary normal distributions. When clutter movement is large and spatially coherent, echo registration followed by PCA filtering can be ideal. Effective filtering is essential for contrast-free ultrasonic perfusion imaging of muscle tissues in the extremities of patients at risk for developing peripheral artery diseases. Statistical filter performance is examined using simulation and echo data from an in vivo ischemic hindlimb mouse model.

Original languageEnglish (US)
Title of host publicationMedical Imaging 2021
Subtitle of host publicationUltrasonic Imaging and Tomography
EditorsBrett C. Byram, Nicole V. Ruiter
ISBN (Electronic)9781510640337
StatePublished - 2021
EventMedical Imaging 2021: Ultrasonic Imaging and Tomography - Virtual, Online, United States
Duration: Feb 15 2021Feb 19 2021

Publication series

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


ConferenceMedical Imaging 2021: Ultrasonic Imaging and Tomography
Country/TerritoryUnited States
CityVirtual, Online


  • Basis decomposition
  • Independent and principal component analyses
  • Scatterer statistics

ASJC Scopus subject areas

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


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