Literature DB >> 19811990

Benefits of minimum-variance beamforming in medical ultrasound imaging.

Johan-Fredrik Synnevag1, Andreas Austeng, Sverre Holm.   

Abstract

Recently, significant improvement in image resolution has been demonstrated by applying adaptive beamforming to medical ultrasound imaging. In this paper, we have used the minimum-variance beamformer to show how the low sidelobe levels and narrow beamwidth of adaptive methods can be used, not only to increase resolution, but also to enhance imaging in several ways. By using a minimum-variance beamformer instead of delay-and-sum on reception, reduced aperture, higher frame rates, or increased depth of penetration can be achieved without sacrificing image quality. We demonstrate comparable resolution on images of wire targets and a cyst phantom obtained with a 96-element, 18.5-mm transducer using delay-and-sum, and a 48-element, 9.25-mm transducer using minimum variance. To increase frame rate, fewer and wider transmit beams in combination with several parallel receive beams may be used. We show comparable resolution to delay-and-sum using minimum variance, 1/4th of the number of transmit beams and 4 parallel receive beams, potentially increasing the frame rate by 4. Finally, we show that by lowering the frequency of the transmitted beam and beamforming the received data with the minimum variance beamformer, increased depth of penetration is achieved without sacrificing lateral resolution.

Mesh:

Year:  2009        PMID: 19811990     DOI: 10.1109/TUFFC.2009.1263

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


  40 in total

1.  Amplitude and phase estimator combined with the Wiener postfilter for medical ultrasound imaging.

Authors:  Ali Mohades Deylami; Babak Mohammadzadeh Asl
Journal:  J Med Ultrason (2001)       Date:  2015-10-05       Impact factor: 1.314

2.  Enhancing effect of phase coherence factor for improvement of spatial resolution in ultrasonic imaging.

Authors:  Hideyuki Hasegawa
Journal:  J Med Ultrason (2001)       Date:  2015-10-07       Impact factor: 1.314

3.  Adaptive windowing in contrast-enhanced intravascular ultrasound imaging.

Authors:  Brooks D Lindsey; K Heath Martin; Xiaoning Jiang; Paul A Dayton
Journal:  Ultrasonics       Date:  2016-04-27       Impact factor: 2.890

4.  Twofold minimum variance beamforming for enhanced ultrasound imaging.

Authors:  Sayed Mahmoud Sakhaei; Seyede Elham Shamsian
Journal:  J Med Ultrason (2001)       Date:  2017-04-21       Impact factor: 1.314

5.  Apodized adaptive beamformer.

Authors:  Hideyuki Hasegawa
Journal:  J Med Ultrason (2001)       Date:  2017-01-13       Impact factor: 1.314

6.  Improving Spatial Resolution Using Incoherent Subtraction of Receive Beams Having Different Apodizations.

Authors:  Anil Agarwal; Jonathan Reeg; Anthony S Podkowa; Michael L Oelze
Journal:  IEEE Trans Ultrason Ferroelectr Freq Control       Date:  2018-10-16       Impact factor: 2.725

7.  Photoacoustic image formation based on sparse regularization of minimum variance beamformer.

Authors:  Roya Paridar; Moein Mozaffarzadeh; Mohammad Mehrmohammadi; Mahdi Orooji
Journal:  Biomed Opt Express       Date:  2018-05-08       Impact factor: 3.732

8.  Improvement of penetration of modified amplitude and phase estimation beamformer.

Authors:  Hideyuki Hasegawa
Journal:  J Med Ultrason (2001)       Date:  2016-07-21       Impact factor: 1.314

9.  MimickNet, Mimicking Clinical Image Post- Processing Under Black-Box Constraints.

Authors:  Ouwen Huang; Will Long; Nick Bottenus; Marcelo Lerendegui; Gregg E Trahey; Sina Farsiu; Mark L Palmeri
Journal:  IEEE Trans Med Imaging       Date:  2020-01-31       Impact factor: 10.048

10.  Coherent Multi-Transducer Ultrasound Imaging.

Authors:  Laura Peralta; Alberto Gomez; Ying Luan; Bae-Hyung Kim; Joseph V Hajnal; Robert J Eckersley
Journal:  IEEE Trans Ultrason Ferroelectr Freq Control       Date:  2019-06-05       Impact factor: 2.725

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