Literature DB >> 17523563

Strain imaging using conventional and ultrafast ultrasound imaging: numerical analysis.

Suhyun Park1, Salavat R Aglyamov, W Guy Scott, Stanislav Y Emelianov.   

Abstract

In elasticity imaging, the ultrasound frames acquired during tissue deformation are analyzed to estimate the internal displacements and strains. If the deformation rate is high, high-frame-rate imaging techniques are required to avoid the severe decorrelation between the neighboring ultrasound images. In these high-frame-rate techniques, however, the broader and less focused ultrasound beam is transmitted and, hence, the image quality is degraded. We quantitatively compared strain images obtained using conventional and ultrafast ultrasound imaging methods. The performance of the elasticity imaging was evaluated using custom-designed, numerical simulations. Our results demonstrate that signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR) and spatial resolutions in displacement and strain images acquired using conventional and ultrafast ultrasound imaging are comparable. This study suggests that the high-frame-rate ultrasound imaging can be reliably used in elasticity imaging if frame rate is critical.

Mesh:

Year:  2007        PMID: 17523563     DOI: 10.1109/tuffc.2007.344

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


  6 in total

1.  Photoacoustic imaging of clinical metal needles in tissue.

Authors:  Jimmy Su; Andrei Karpiouk; Bo Wang; Stanislav Emelianov
Journal:  J Biomed Opt       Date:  2010 Mar-Apr       Impact factor: 3.170

Review 2.  Medical ultrasound: imaging of soft tissue strain and elasticity.

Authors:  Peter N T Wells; Hai-Dong Liang
Journal:  J R Soc Interface       Date:  2011-06-16       Impact factor: 4.118

Review 3.  Recent technological advancements in cardiac ultrasound imaging.

Authors:  Jaydev K Dave; Maureen E Mc Donald; Praveen Mehrotra; Andrew R Kohut; John R Eisenbrey; Flemming Forsberg
Journal:  Ultrasonics       Date:  2017-11-23       Impact factor: 2.890

4.  An autocorrelation-based method for improvement of sub-pixel displacement estimation in ultrasound strain imaging.

Authors:  Seungsoo Kim; Salavat R Aglyamov; Suhyun Park; Matthew O'Donnell; Stanislav Y Emelianov
Journal:  IEEE Trans Ultrason Ferroelectr Freq Control       Date:  2011-04       Impact factor: 2.725

5.  A comparison between unfocused and focused transmit strategies in cardiac strain imaging.

Authors:  Vincent Sayseng; Julien Grondin; Rachel A Weber; Elisa Konofagou
Journal:  Phys Med Biol       Date:  2020-01-24       Impact factor: 3.609

6.  Non-invasive spinal vibration testing using ultrafast ultrasound imaging: A new way to measure spine function.

Authors:  Tarek Kaddoura; Anthony Au; Greg Kawchuk; Richard Uwiera; Richard Fox; Roger Zemp
Journal:  Sci Rep       Date:  2018-06-25       Impact factor: 4.379

  6 in total

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