Generation of Optimal Input Signals for Ultrasound Pulse-Echo Systems

Schmolke, J.; Hiller, D.; Ermert, H.; Schaefer, James; Gräβner, G.

doi:10.1109/ultsym.1982.197969

Cited by 10 publications

(2 citation statements)

References 3 publications

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“…A large constant time offset causes a smearing in the lateral direction, too; 3) a small error in the sound velocity causes the image function to be moved in axial and lateral directions. Larger errors result in an additional smearing of the image function;…”

Section: Image Deterioration Due To Errors In the Received Signalsmentioning

confidence: 99%

Detection and Imaging of Defects Especially Materials with Small UT Transducers Using Broad-Band Holography

Bernus

Kröning

Regn

et al. 1989

Review of Progress in Quantitative Nondestructive Evaluation

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Section: Image Deterioration Due To Errors In the Received Signalsmentioning

confidence: 99%

Detection and Imaging of Defects Especially Materials with Small UT Transducers Using Broad-Band Holography

Bernus

Kröning

Regn

et al. 1989

Review of Progress in Quantitative Nondestructive Evaluation

Self Cite

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“…A simple approach, suggested for transmit pulse design in nondestructive testing, is to use a weighted inverse of the double-path impulse response as an input signal for one-dimensional A-scan data. 26 In more advanced multidimensional imaging, a "stabilized" inverse of the propagation operator has been suggested for designing input signals so that a precise control over the intensity level at a predefined set of control points can be obtained. 14,27,28 This technique has also been used to improve the performance of coded-excitation methods.…”

Section: Introductionmentioning

confidence: 99%

Statistically motivated design of input signals for modern ultrasonic array systems

Lingvall

Olofsson

2008

The Journal of the Acoustical Society of America

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Modern array systems allow for excitation of separate elements using arbitrary wave forms. This is utilized in pulse compression and coded excitation techniques to improve the imaging performance. Such techniques are however somewhat inflexible since they use predefined excitation schemes. This paper presents a more flexible method for optimizing the input signals to an ultrasonic array in such a way that the scattering strengths at arbitrarily chosen control points in the insonified object can be estimated with as small an error as possible, measured with a mean squared error criteria. The statistically motivated method is based on a linear model of the array imaging system and the method takes into account both prior information regarding the scattering strengths and measurement errors. The input signals are found by using genetic optimization and are constrained to have finite duration and bounds on the maximum amplitudes. Different constellations of control points, and different signal-to-noise ratios, yield different excitation schemes. The design approach finds multiple selective focal laws when choosing relatively well separated control points and when the control points are closely spaced, the resulting excitations result in more diffuse fields. Because of the flexibility in choosing the control points, the design method will be useful when developing transmission schemes aiming at fast imaging of large image areas using few transmissions.

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Deconvolution filtering for the high‐resolution ultrasonic pulse‐echo measurement

Yamada

1989

Electron Comm Jpn Pt III

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In the ultrasonic pulse‐echo measurement system, the deconvolution signal processing enables maximum information to be extracted from the echo signal under the physical restriction of the acoustic propagation loss, thereby realizing significant improvement of the resolution capability. This paper presents the deconvolution filtering technique which satisfies the practical requirements for the mitigation of noise amplification compatible with a simple fast procedure. Specifically, the time‐domain deconvolution filter is determined in such a way that the second‐order moment of the desired response is minimized under the band‐limited condition, thereby optimizing the filter coefficient subject to the constraints of the small processing noise. In addition, the envelope detection is incorporated for the removal of the distortion due to the band‐limited nature of the signal. Furthermore, the theoretical formula for the range resolutions achievable with this technique is derived. At the end of this paper, results of the evaluation experiments are shown to demonstrate that high‐resolution measurement comparable to the theoretical limit is obtained with small processing noise.

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Generation of Optimal Input Signals for Ultrasound Pulse-Echo Systems

Cited by 10 publications

References 3 publications

Detection and Imaging of Defects Especially Materials with Small UT Transducers Using Broad-Band Holography

Detection and Imaging of Defects Especially Materials with Small UT Transducers Using Broad-Band Holography

Statistically motivated design of input signals for modern ultrasonic array systems

Deconvolution filtering for the high‐resolution ultrasonic pulse‐echo measurement

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