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Quantitative Ultrasound in Soft Tissues

  • Book
  • © 2013

Overview

  • Comprehensive state of the art review of quantitative ultrasound methods in tissues
  • Novel review of ultrasonic backscatter estimation
  • Large set of clinical applications of quantitative ultrasound

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Table of contents (15 chapters)

  1. Ultrasound Backscatter Coefficient

  2. Scanning Acoustic Microscopy

  3. Ultrasound Computer Tomography

Keywords

About this book

Due to parallel advances in signal processing and computer hardware in the last 15 years, quantitative ultrasound techniques have reached maturity, allowing for the construction of quantitative maps or images of soft tissues. This book will focus on 5 modern research topics related to quantitative ultrasound of soft tissues: - Spectral-based methods for tissue characterization, tissue typing, cancer detection, etc.; - Envelope statistics analysis as a means of quantifying and imaging tissue properties; - Ultrasound elastography for quantifying elastic properties of tissues (several clinical ultrasound scanners now display elastography images); - Scanning acoustic microscopy for forming images of mechanical properties of soft tissues with micron resolution (desktop size scanners are now available); and - Ultrasound computer tomography for breast cancer imaging (new ultrasound tomography systems have been developed and are currently under evaluation clinically).

Reviews

From the reviews:

“The editors made an excellent choice of their collection of methods and applications in this rapidly evolving QUS research field. Therefore the reader whatever pre-knowledge he comes with will find basic or advanced information in this book. For newcomers to this topic the book is very suitable to get an excellent understanding for the basic and statistical methods used in QUS … . This book is recommended for lecturers or teachers … .” (Christian Kollmann, Ultraschall in der Medizin European Journal of Ultrasound, Vol. 35 (2), April, 2014)

Editors and Affiliations

  • Biomedical Engineering, Riverside Research Institute F.L. Lizzi Center, New York, USA

    Jonathan Mamou

  • Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, USA

    Michael L. Oelze

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