Literature DB >> 28328504

Blocked Elements in 1-D and 2-D Arrays-Part I: Detection and Basic Compensation on Simulated and In Vivo Targets.

Marko Jakovljevic, Gianmarco F Pinton, Jeremy J Dahl, Gregg E Trahey.   

Abstract

During a transcostal ultrasound scan, ribs and other highly attenuating and/or reflective tissue structures can block parts of the array. Blocked elements tend to limit the acoustic window and impede visualization of structures of interest. Here, we demonstrate a method to detect blocked elements and we measure the loss of image quality they introduce in simulation and in vivo. We utilize a fullwave simulation tool and a clinical ultrasound scanner to obtain element signals from fully sampled matrix arrays during simulated and in vivo transcostal liver scans, respectively. The elements that were blocked by a rib showed lower average signal amplitude and lower average nearest-neighbor cross correlation than the elements in the remainder of the 2-D aperture. The growing receive-aperture B-mode images created from the element data indicate that the signals on blocked elements are dominated by noise and that turning them OFF has a potential to improve visibility of liver vasculature. Adding blocked elements to the growing receive apertures for five in vivo transcostal acquisitions resulted in average decrease in vessel contrast and contrast to noise ratio of 19% and 10%, respectively.

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Year:  2017        PMID: 28328504      PMCID: PMC5829368          DOI: 10.1109/TUFFC.2017.2683559

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


  13 in total

Review 1.  Compilation of empirical ultrasonic properties of mammalian tissues. II.

Authors:  S A Goss; R L Johnston; F Dunn
Journal:  J Acoust Soc Am       Date:  1980-07       Impact factor: 1.840

Review 2.  Transthoracic ultrasound.

Authors:  F J F Herth; H D Becker
Journal:  Respiration       Date:  2003 Jan-Feb       Impact factor: 3.580

3.  Transcostal high-intensity-focused ultrasound: ex vivo adaptive focusing feasibility study.

Authors:  J-F Aubry; M Pernot; F Marquet; M Tanter; M Fink
Journal:  Phys Med Biol       Date:  2008-05-12       Impact factor: 3.609

4.  Measurements of ultrasonic pulse distortion produced by human chest wall.

Authors:  L M Hinkelman; T L Szabo; R C Waag
Journal:  J Acoust Soc Am       Date:  1997-04       Impact factor: 1.840

Review 5.  Comprehensive compilation of empirical ultrasonic properties of mammalian tissues.

Authors:  S A Goss; R L Johnston; F Dunn
Journal:  J Acoust Soc Am       Date:  1978-08       Impact factor: 1.840

6.  FOCUS SPLITTING ASSOCIATED WITH PROPAGATION OF FOCUSED ULTRASOUND THROUGH THE RIB CAGE.

Authors:  V A Khokhlova; S M Bobkova; L R Gavrilov
Journal:  Acoust Phys       Date:  2010-09       Impact factor: 0.856

7.  Modelling of the acoustic field of a multi-element HIFU array scattered by human ribs.

Authors:  Pierre Gélat; Gail Ter Haar; Nader Saffari
Journal:  Phys Med Biol       Date:  2011-08-09       Impact factor: 3.609

8.  Mediastinal tumors: sensitivity of detection with sonography compared with CT and radiography.

Authors:  K Wernecke; P Vassallo; R Pötter; H G Lückener; P E Peters
Journal:  Radiology       Date:  1990-04       Impact factor: 11.105

9.  Adaptive transthoracic refocusing of dual-mode ultrasound arrays.

Authors:  John R Ballard; Andrew J Casper; Yayun Wan; Emad S Ebbini
Journal:  IEEE Trans Biomed Eng       Date:  2009-07-31       Impact factor: 4.538

10.  A heterogeneous nonlinear attenuating full-wave model of ultrasound.

Authors:  Gianmarco F Pinton; Jeremy Dahl; Stephen Rosenzweig; Gregg E Trahey
Journal:  IEEE Trans Ultrason Ferroelectr Freq Control       Date:  2009-03       Impact factor: 2.725

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  2 in total

1.  Unsupervised clustering method to convert high-resolution magnetic resonance volumes to three-dimensional acoustic models for full-wave ultrasound simulations.

Authors:  Kevin Looby; Carl D Herickhoff; Christopher Sandino; Tao Zhang; Shreyas Vasanawala; Jeremy J Dahl
Journal:  J Med Imaging (Bellingham)       Date:  2019-07-22

2.  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

  2 in total

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