Deconvolution of ultrasound images

Publication: Research - peer-reviewJournal article – Annual report year: 1992

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Deconvolution of ultrasound images. / Jensen, Jørgen Arendt.

In: Ultrasonic Imaging, Vol. 14, No. 1, 1992, p. 1-15.

Publication: Research - peer-reviewJournal article – Annual report year: 1992

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Author

Jensen, Jørgen Arendt / Deconvolution of ultrasound images.

In: Ultrasonic Imaging, Vol. 14, No. 1, 1992, p. 1-15.

Publication: Research - peer-reviewJournal article – Annual report year: 1992

Bibtex

@article{a7a26591c7294f8e894c8cdef5479ec1,
title = "Deconvolution of ultrasound images",
keywords = "Deconvolution, Estimation, Image improvement, Signal processing",
publisher = "Dynamedia, Inc.",
author = "Jensen, {Jørgen Arendt}",
year = "1992",
volume = "14",
number = "1",
pages = "1--15",
journal = "Ultrasonic Imaging",
issn = "0161-7346",

}

RIS

TY - JOUR

T1 - Deconvolution of ultrasound images

A1 - Jensen,Jørgen Arendt

AU - Jensen,Jørgen Arendt

PB - Dynamedia, Inc.

PY - 1992

Y1 - 1992

N2 - Based on physical models, it is indicated that the received pressure field in ultrasound B-mode images can be described by a convolution between a tissue reflection signal and the emitted pressure field. This result is used in a description of current image formation and in formulating a new processing scheme. The suggested estimator can take into account the dispersive attenuation, the temporal and spatial variation of the pulse, and the change in reflection strength and signal-to-noise ratio. Details of the algorithm and the estimation of parameters to be used are given. The performance is indicated by two examples. One is for a synthetic signal and the other is for data measured from a tissue mimicking phantom. The last example shows a finer speckle pattern, giving an increased resolution.

AB - Based on physical models, it is indicated that the received pressure field in ultrasound B-mode images can be described by a convolution between a tissue reflection signal and the emitted pressure field. This result is used in a description of current image formation and in formulating a new processing scheme. The suggested estimator can take into account the dispersive attenuation, the temporal and spatial variation of the pulse, and the change in reflection strength and signal-to-noise ratio. Details of the algorithm and the estimation of parameters to be used are given. The performance is indicated by two examples. One is for a synthetic signal and the other is for data measured from a tissue mimicking phantom. The last example shows a finer speckle pattern, giving an increased resolution.

KW - Deconvolution

KW - Estimation

KW - Image improvement

KW - Signal processing

JO - Ultrasonic Imaging

JF - Ultrasonic Imaging

SN - 0161-7346

IS - 1

VL - 14

SP - 1

EP - 15

ER -