Synthetic aperture pulse-echo imaging with rectangular boundary arrays (acoustic imaging)

Kozick, R.J.; Kassam, S.A.

doi:10.1109/83.210867

Cited by 42 publications

(16 citation statements)

References 15 publications

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“…Nikolov et al [30] introduced recursive ultrasound imaging as a method for increasing frame rate. Synthesizing an effective aperture for 3-D imaging using 2-D transducer arrays using only the outermost elements was described in [31]. The use of coded excitation is a current area of study that has benefits of improved frame rates, increased SNR, and improved depth penetration [32]- [35].…”

Section: Introductionmentioning

confidence: 99%

Coherent-array imaging using phased subarrays. Part I: basic principles

Johnson

Karaman

Khuri-Yakub

2005

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

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Abstract-The front-end hardware complexity of a coherent array imaging system scales with the number of active array elements that are simultaneously used for transmission or reception of signals. Different imaging methods use different numbers of active channels and data collection strategies. Conventional full phased array (FPA) imaging produces the best image quality using all elements for both transmission and reception, and it has high front-end hardware complexity. In contrast, classical synthetic aperture (CSA) imaging only transmits on and receives from a single element at a time, minimizing the hardware complexity but achieving poor image quality. We propose a new coherent array imaging method-phased subarray (PSA) imaging-that performs partial transmit and receive beamforming using a subset of adjacent elements at each firing step. This method reduces the number of active channels to the number of subarray elements; these channels are multiplexed across the full array and a reduced number of beams are acquired from each subarray. The low-resolution subarray images are laterally upsampled, interpolated, weighted, and coherently summed to form the final high-resolution PSA image. The PSA imaging reduces the complexity of the front-end hardware while achieving image quality approaching that of FPA imaging.

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Section: Introductionmentioning

confidence: 99%

Coherent-array imaging using phased subarrays. Part I: basic principles

Johnson

Karaman

Khuri-Yakub

2005

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

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“…, (L + 1)/2 } ( · is the floor operator) that i) has an integer-valued pair N 2 = (L − N 1 + 1)/( N 1 + 1) ∈ N and ii) is closest to the ideal N * 1 computed using Eq. (14). If no such parameter is found, then a solution for aperture L does not exist.…”

Section: General Solutionmentioning

confidence: 99%

“…For example, optimal sparse linear arrays with spatially separated transmitting and receiving elements may be generated by simple interpolation [13]. Furthermore, it has been shown that placing elements on the convex boundary of an active planar array is effectively equivalent to filling the interior of the array with virtual elements [12], [14]. Although planar arrays are of considerable practical interest due to their capability of beamforming in both the azimuthal and elevational directions, linear arrays also have value in many applications, as well as in developing array processing methods and theory.…”

Section: Introductionmentioning

confidence: 99%

Sparse linear nested array for active sensing

Rajamäki

Koivunen

2017

2017 25th European Signal Processing Conference (EUSIPCO)

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Abstract-Sparse sensor arrays can match the performance of fully populated arrays using substantially fewer elements. However, finding the array configuration with the smallest number of elements is generally a computationally difficult problem. Consequently, simple to generate array configurations that may be suboptimal are of high practical interest. This paper presents a novel closed-form sparse linear array configuration designed for active sensing, called the Concatenated Nested Array (CNA). The key parameters of the CNA are derived. The CNA is also compared to the optimal Minimum-Redundancy Array (MRA) in numerical simulations. The CNA is shown to require only about 10% more elements than the MRA in the limit of large apertures.

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“…Comparison of Methods I and 11: Because A (RT, 0,) and the width of triangles generated by the same point target are identical in these two methods, the first term in (44) is the same in Methods I and 11. From (9) and (17), …”

Section: Parameters Of F ( R ) Useful For the Comparison F ( T ) Hmentioning

confidence: 96%

“…The meaning of these conditions (and conditions derived below) will be discussed in Section II,F, which shows that it is not difficult to satisfy these conditions. Next, we compare the first term in (44). From (16) and (23), the variance U: (RT, 8,) (62) becomes (54); therefore, the condition for u~,,,, < us,Iv is the same as that for us,II < us,I.…”

Section: Parameters Of F ( R ) Useful For the Comparison F ( T ) Hmentioning

confidence: 96%

Small element array algorithm for correcting phase aberration using near-field signal redundancy. I. Principles

2000

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

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A near-field, signal-redundancy algorithm for measuring phase-aberration profiles has been proposed previously. It is designed for arrays with a relatively large element size for which relatively narrow beams are transmitted and received. The algorithm measures the aberration profile by cross-correlating signals collected with the same midpoint position between transmitter and receiver, termed common midpoint signals, after a dynamic near-field delay correction. In this paper, a near-field signal-redundancy algorithm for small element arrays is proposed. In this algorithm, subarrays are formed of adjacent groups of elements to narrow the beams used to collect common midpoint signals and steer the beam direction, so that angle-dependent, phase-aberration profiles can be measured. There are several methods that could be used to implement the dynamic near-field delay correction on common midpoint signals collected with subarrays. In this paper, the similarity between common midpoint signals collected with these methods is also analyzed and compared using a so-called corresponding-signal concept. This analysis should be valid for general target distributions in the near field and wide-band signals.

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Synthetic aperture pulse-echo imaging with rectangular boundary arrays (acoustic imaging)

Cited by 42 publications

References 15 publications

Coherent-array imaging using phased subarrays. Part I: basic principles

Coherent-array imaging using phased subarrays. Part I: basic principles

Sparse linear nested array for active sensing

Small element array algorithm for correcting phase aberration using near-field signal redundancy. I. Principles

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