Literature DB >> 17036791

Adaptive imaging on a diagnostic ultrasound scanner at quasi real-time rates.

Jeremy J Dahl1, Stephen A McAleavey, Gianmarco F Pinton, Mary S Soo, Gregg E Trahey.   

Abstract

Constructing an ultrasonic imaging system capable of compensating for phase errors in real-time is a significant challenge in adaptive imaging. We present a versatile adaptive imaging system capable of updating arrival time profiles at frame rates of approximately 2 frames per second (fps) with 1-D arrays and up to 0.81 fps for 1.75-D arrays, depending on the desired near-field phase correction algorithm. A novel feature included in this system is the ability to update the aberration profile at multiple beam locations for 1-D arrays. The features of this real-time adaptive imaging system are illustrated in tissue-mimicking phantoms with physical near-field phase screens and evaluated in clinical breast tissue with a 1.75-D array. The contrast-to-noise ratio (CNR) of anechoic cysts was shown to improve dramatically in the tissue-mimicking phantoms. In breast tissue, the width of point-like targets showed significant improvement: a reduction of 26.2% on average. Brightness of these targets, however, marginally decreased by 3.9%. For larger structures such as cysts, little improvement in features and CNR were observed, which is likely a result of the system assuming an infinite isoplanatic patch size for the 1.75-D arrays. The necessary requirements for constructing a real-time adaptive imaging system are also discussed.

Mesh:

Year:  2006        PMID: 17036791     DOI: 10.1109/tuffc.2006.115

Source DB:  PubMed          Journal:  IEEE Trans Ultrason Ferroelectr Freq Control        ISSN: 0885-3010            Impact factor:   2.725


  11 in total

1.  Combining Slow Flow Techniques With Adaptive Demodulation for Improved Perfusion Ultrasound Imaging Without Contrast.

Authors:  Jaime Tierney; Kristy Walsh; Helen Griffith; Jennifer Baker; Daniel B Brown; Brett Byram
Journal:  IEEE Trans Ultrason Ferroelectr Freq Control       Date:  2019-02-07       Impact factor: 2.725

2.  Adaptive Clutter Demodulation for Non-Contrast Ultrasound Perfusion Imaging.

Authors:  Jaime Tierney; Crystal Coolbaugh; Theodore Towse; Brett Byram
Journal:  IEEE Trans Med Imaging       Date:  2017-06-13       Impact factor: 10.048

3.  Aberration compensation of an ultrasound imaging instrument with a reduced number of channels.

Authors:  Wei Jiang; Jeffrey P Astheimer; Robert C Waag
Journal:  IEEE Trans Ultrason Ferroelectr Freq Control       Date:  2012-10       Impact factor: 2.725

4.  Sources of image degradation in fundamental and harmonic ultrasound imaging: a nonlinear, full-wave, simulation study.

Authors:  Gianmarco F Pinton; Gregg E Trahey; Jeremy J Dahl
Journal:  IEEE Trans Ultrason Ferroelectr Freq Control       Date:  2011-06       Impact factor: 2.725

5.  The Impact of Model-Based Clutter Suppression on Cluttered, Aberrated Wavefronts.

Authors:  Kazuyuki Dei; Brett Byram
Journal:  IEEE Trans Ultrason Ferroelectr Freq Control       Date:  2017-07-20       Impact factor: 2.725

6.  Harmonic spatial coherence imaging: an ultrasonic imaging method based on backscatter coherence.

Authors:  Jeremy Dahl; Marko Jakovljevic; Gianmarco F Pinton; Gregg E Trahey
Journal:  IEEE Trans Ultrason Ferroelectr Freq Control       Date:  2012-04       Impact factor: 2.725

7.  Sources of image degradation in fundamental and harmonic ultrasound imaging using nonlinear, full-wave simulations.

Authors:  Gianmarco F Pinton; Gregg E Trahey; Jeremy J Dahl
Journal:  IEEE Trans Ultrason Ferroelectr Freq Control       Date:  2011-04       Impact factor: 2.725

8.  Pitch-catch phase aberration correction of multiple isoplanatic patches for 3-D transcranial ultrasound imaging.

Authors:  Brooks D Lindsey; Stephen W Smith
Journal:  IEEE Trans Ultrason Ferroelectr Freq Control       Date:  2013-03       Impact factor: 2.725

9.  Robust finite impulse response beamforming applied to medical ultrasound.

Authors:  Drake A Guenther; William F Walker
Journal:  IEEE Trans Ultrason Ferroelectr Freq Control       Date:  2009-06       Impact factor: 2.725

10.  Training improvements for ultrasound beamforming with deep neural networks.

Authors:  A C Luchies; B C Byram
Journal:  Phys Med Biol       Date:  2019-02-18       Impact factor: 4.174

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