Open Access Journal

ISSN : 2394 - 6849 (Online)

International Journal of Engineering Research in Electronics and Communication Engineering(IJERECE)

Monthly Journal for Electronics and Communication Engineering

Open Access Journal

International Journal of Engineering Research in Electronics and Communication Engineering(IJERECE)

Monthly Journal for Electronics and Communication Engineering

ISSN : 2394-6849 (Online)

Broadband Beamformer Combined With Dcd Weighting

Author : Meenu Unnikrishnan 1 Jayaraj U Kidav 2

Date of Publication :7th October 2015

Abstract: Medical electronic technology has developed to a great extend in last few decades. Ultra sound imaging has been one of the greatest gift to medical science technology. In last few decades, ultrasound imaging technology has revolutionized the field of medical science. Adaptive beam-forming method has contributed much to the resolution and contrast of image. In this work, minimum variance (MV) beamforming for broadband data is proposed. We implement it in frequency domain and for each of these frequency sub band a set of complete, adapted apodization weight is provided. The simulation is done in FIELD ll environment. The simulation is done on point targets as well as on cyst phantoms. We aim at showing that the resolution and image clarity in the case of MV beam former is more when compared to the conventional DAS (delay and sum) beam former, even for fewer number of emission. Investigation on different methods for computation of inverse of the covariance matrix has been done. Also in this work we make use of DCD algorithm for computing the apodization weight and also we aim at showing that the DCD algorithm finds the best place compared to the other iterative algorithm for hardware implementation.

Reference :

  1. [1] IbenKraglundHolfort, Jrgen Arendt Jensen, ”Broadband Minimum Variance Beam- forming for Ultrasound Imaging” , IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, vol. 56, no. 2, February 2009.

    [2] Johan-Fredrik Synnevg, Sverre Holm, ”A LowComplexity Data-Dependent Beam- former”,IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, vol. 57, no. 2, February 2010.

    [3] BabakMohammadzadehAsl and Ali Mahloojifar,” A Low-Complexity Adaptive Beamformer for Ultrasound Imaging Using Structured Covariance Matrix” ,IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, vol. 59, no. 4, April 2012.

    [4] BabakMohammadzadehAsl, Ali Mahloojifar,”Minimum Variance Beamforming Combined with Adaptive Coherence Weighting Applied to Medical Ultrasound Imag- ing”,IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, vol. 56, no. 9, September 2009.

    [5] MinfenShen,QiongZhang,DelaiLi,Jinyao Yang,”Beamspace Sparse Representation Weighting Beamforming for Plane Wave Emission Ultrasound Instrument”,2011 IEEE.


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