A new formalism for the quantification of tissue perfusion by the destruction-replenishment method in contrast ultrasound imaging

Marcel Arditi, Peter J.A. Frinking, Xiang Zhou, Nicolas G. Rognin

Research output: Contribution to journalArticlepeer-review

111 Citations (Scopus)

Abstract

A now formalism is presented for the destruction-replenishment perfusion quantification approach at low mechanical index. On the basis of physical considerations, best-fit methods should be applied using perfusion functions with S-shape characteristics. Those functions are first described for the case of a geometry with a single flow velocity, then extended to the case of vascular beds with blood vessels having multiple flow velocity values and directions. The principles guiding the analysis are, on one hand, a linearization of video echo signals to overcome the log-compression of tho imaging instrument, and, on the other hand, the spatial distribution of tho transmitreceive ultrasound boam In the elevation direction. An in vitro model also is described; it was used to confirm experimentally the validity of the approach using a commercial contrast agent. The approach was implemented in the form of a computer program, taking as input a sequence of contrast-specific images, as well as parameters related to the ultrasound imaging equipment used. The generated output is either flow-parameter values computed in regions-of-interest, or parametric flow-images (e.g., moan velocity, mean transit time, mean flow, flow variance, or skewness). This approach thus establishes a base for extracting information about the morphology of vascular beds in vivo, and could allow absolute quantification provided that appropriate instrument calibration is implemented.

Original languageEnglish
Pages (from-to)1118-1129
Number of pages12
JournalIEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control
Volume53
Issue number6
DOIs
Publication statusPublished - Jun 2006

ASJC Scopus subject areas

  • Instrumentation
  • Acoustics and Ultrasonics
  • Electrical and Electronic Engineering

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