Broadband minimum variance beamforming for ultrasound imaging

Holfort, I.K.; Gran, Fredrik; Jensen, Jørgen Arendt

doi:10.1109/tuffc.2009.1040

Cited by 215 publications

(105 citation statements)

References 16 publications

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“…MV based adaptive beamforming can be implemented in the frequency domain, 14 where the broad-band, ultrasound sensor signals are divided into frequency bands. This is to ensure that the original narrow-band condition of the adaptive beamformer is met.…”

Section: -13mentioning

confidence: 99%

A comparison between temporal and subband minimum variance adaptive beamforming

Diamantis¹,

Voxen

Greenaway³

et al. 2014

SPIE Proceedings

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Section: -13mentioning

confidence: 99%

A comparison between temporal and subband minimum variance adaptive beamforming

Diamantis¹,

Voxen

Greenaway³

et al. 2014

SPIE Proceedings

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“…Blinding and randomizing the evaluation takes care of many biasing effects, but there are still cases where tradition or other effect might be limiting. For new imaging methods like minimum variance [7], [53] or spatial coherence [54], [55] the images might appear radically different than conventional ultrasound images, and this will in general bias the evaluation towards the conventional image and preclude new inventions. This is a general problem in a necessarily conservative field.…”

Section: Phase IIImentioning

confidence: 99%

“…This includes improved B-mode schemes like non-linear imaging [1], synthetic aperture imaging [2], [3] and the derived method synthetic aperture sequential beamforming (SASB) [4], plane wave imaging [5], and minimum variance beamforming [6], [7]. Often these methods claim to improve on image quality with an underlying assumption that this translates into better diagnostic accuracy.…”

Section: Introductionmentioning

confidence: 99%

A Methodology for Anatomic Ultrasound Image Diagnostic Quality Assessment

Hemmsen

Lange

Brandt

et al. 2017

IEEE Trans. Ultrason., Ferroelect., Freq. Contr.

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Abstract-This paper discusses methods for assessment of ultrasound image quality based on our experiences with evaluating new methods for anatomic imaging. It presents a methodology to ensure a fair assessment between competing imaging methods using clinically relevant evaluations. The methodology is valuable in the continuing process of method optimization and guided development of new imaging methods. It includes a three phased study plan covering from initial prototype development to clinical assessment. Recommendations to the clinical assessment protocol, software, and statistical analysis are presented. Earlier uses of the methodology has shown that it ensures validity of the assessment, as it separates the influences between developer, investigator, and assessor once a research protocol has been established. This separation reduces confounding influences on the result from the developer to properly reveal the clinical value. The paper exemplifies the methodology using recent studies of Synthetic Aperture Sequential Beamforming tissue harmonic imaging.

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“…Tong et al investigated the influence of window shape on the rejection of interference during reception [4]. To go further, the adaptive Capon's minimum variance beamformer was proposed to compute the optimal weighting window that corresponds to each pixel [6,7]. This approach achieves a lot thinner main lobe and strong side-lobe rejection, compared with conventional DAS.…”

Section: Introductionmentioning

confidence: 99%

A Nonlinear Beamformer Based on p-th Root Compression—Application to Plane Wave Ultrasound Imaging

et al. 2018

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Ultrafast medical ultrasound imaging is necessary for 3D and 4D ultrasound imaging, and it can also achieve high temporal resolution (thousands of frames per second) for monitoring of transient biological phenomena. However, reaching such frame rates involves reduction of image quality compared with that obtained with conventional ultrasound imaging, since the latter requires each image line to be reconstructed separately with a thin ultrasonic focused beam. There are many techniques to simultaneously acquire several image lines, although at the expense of resolution and contrast, due to interference from echoes from the whole medium. In this paper, a nonlinear beamformer is applied to plane wave imaging to improve resolution and contrast of ultrasound images. The method consists of the introduction of nonlinear operations in the conventional delay-and-sum (DAS) beamforming algorithm. To recover the value of each pixel, the raw radiofrequency signals are first dynamically focused and summed on the plane wave dimension. Then, their amplitudes are compressed using the signed p th root. After summing on the element dimension, the signed p-power is applied to restore the original dimensionality in volts. Finally, a band-pass filter is used to remove artificial harmonics introduced by these nonlinear operations. The proposed method is referred to as p-DAS, and it has been tested here on numerical and experimental data from the open access platform of the Plane wave Imaging Challenge in Medical UltraSound (PICMUS). This study demonstrates that p-DAS achieves better resolution and artifact rejection than the conventional DAS (for p = 2 with eleven plane wave imaging on experimental phantoms, the lateral resolution is improved by 21%, and contrast ratio (CR) by 59%). However, like many coherence-based beamformers, it tends to distort the conventional speckle structure (contrast-to-noise-ratio (CNR) decreased by 45%). It is demonstrated that p-DAS, for p = 2, is very similar to the nonlinear filtered-delay-multiply-and-sum (FDMAS) beamforming, but also that its impact on image quality can be tuned changing the value of p.

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Broadband minimum variance beamforming for ultrasound imaging

Cited by 215 publications

References 16 publications

A comparison between temporal and subband minimum variance adaptive beamforming

A comparison between temporal and subband minimum variance adaptive beamforming

A Methodology for Anatomic Ultrasound Image Diagnostic Quality Assessment

A Nonlinear Beamformer Based on p-th Root Compression—Application to Plane Wave Ultrasound Imaging

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