A Quantitative Approach to Speckle Reduction via Frequency Compounding

Trahey, Gregg E.; Allison, John W.; Smith, Stephen W.; Ramm, Olaf T. von

doi:10.1177/016173468600800301

Cited by 108 publications

(73 citation statements)

References 15 publications

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“…A number of different scanning methods can be used to produce the images to be compounded. Frequency compounding uses images with separate frequency ranges within the transducer bandwidth (Galloway et al, 1988;Gehlbach & Sommer, 1987;Magnin et al, 1982;Trahey, Allison, Smith & von Ramm, 1986). A common technique is spilt spectrum processing (SSP) (Bamber & Phelps, 1991;Newhouse et al, 1982;Stetson et al, 1997), in which the wideband RF signal is split into a number of subbands using bandpass filters.…”

Section: Compounding Approachesmentioning

confidence: 99%

Speckle Reduction in Echocardiography: Trends and Perceptions

Finn¹,

Glavin²,

Jones³

2012

Echocardiography - New Techniques

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Section: Compounding Approachesmentioning

confidence: 99%

Speckle Reduction in Echocardiography: Trends and Perceptions

Finn¹,

Glavin²,

Jones³

2012

Echocardiography - New Techniques

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“…Since different frequencies have different speckle patterns, the standard deviation of the speckle in the final image is reduced by averaging [6,7]. Spatial compounding is a similar concept, in that frames are generated at different angles (figure 15), which have different speckle patterns, and the final image has reduced speckle owing to the averaging effects ( figure 16) [8,9].…”

Section: Speckle and Speckle Reductionmentioning

confidence: 99%

Medical ultrasound systems

Powers

Kremkau

2011

Interface Focus.

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Medical ultrasound imaging has advanced dramatically since its introduction only a few decades ago. This paper provides a short historical background, and then briefly describes many of the system features and concepts required in a modern commercial ultrasound system. The topics addressed include array beam formation, steering and focusing; array and matrix transducers; echo image formation; tissue harmonic imaging; speckle reduction through frequency and spatial compounding, and image processing; tissue aberration; Doppler flow detection; and system architectures. It then describes some of the more practical aspects of ultrasound system design necessary to be taken into account for today's marketplace. It finally discusses the recent explosion of portable and handheld devices and their potential to expand the clinical footprint of ultrasound into regions of the world where medical care is practically non-existent. Throughout the article reference is made to ways in which ultrasound imaging has benefited from advances in the commercial electronics industry. It is meant to be an overview of the field as an introduction to other more detailed papers in this special issue.

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“…Techniques such as spatial compounding and frequency compounding have been proposed to reduce the effect of the speckle. These compounding techniques have been widely investigated in research papers [5][6][7][8][9][10][11][12][13][14][15], and spatial compounding in the image space has been used to reduce speckle brightness variations. In the spatial compounding technique, images are created from ultrasonic echo signals gathered from a number of different ultrasonic beam angles, and these images are merged using appropriate functions such as pixel intensity averaging to form a spatially compounded image.…”

Section: Introductionmentioning

confidence: 99%

Spatial Compounding of Ultrasonic Diagnostic Images for Rotating Linear Probe with Geometric Parameter Error Compensation

Choi¹,

Bae²

2014

Journal of Electrical Engineering and Technology

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-In ultrasonic medical imaging, spatial compounding of images is a technique where ultrasonic beam is steered to examine patient tissues in multiple angles. In the conventional ultrasonic diagnostic imaging, the steering of the ultrasonic beam is achieved electronically using the phased array transducer elements. In this paper, a spatial compounding approach is presented where the ultrasonic probe element is rotated mechanically and the beam steering is achieved mechanically. In the spatial compounding, target position is computed using the value of the rotation axis and the transducer array angular position. However, in the process of the rotation mechanism construction and the control system there arises the inevitable uncertainties in these values. These geometric parameter errors result in the target position error, and the consequence is a blurry compounded image. In order to reduce these target position errors, we present a spatial compounding scheme where error correcting transformation matrices are computed and applied to the raw images before spatial compounding to reduce the blurriness in the compounded image. The proposed scheme is illustrated using phantom and live scan images of human knee, and it is shown that the blurriness is effectively reduced.

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A Quantitative Approach to Speckle Reduction via Frequency Compounding

Cited by 108 publications

References 15 publications

Speckle Reduction in Echocardiography: Trends and Perceptions

Speckle Reduction in Echocardiography: Trends and Perceptions

Medical ultrasound systems

Spatial Compounding of Ultrasonic Diagnostic Images for Rotating Linear Probe with Geometric Parameter Error Compensation

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