2D matrix array optimization by simulated annealing for 3D hepatic imaging

Diarra, Birama; Liebgott, Hervé; Tortoli, Piero; Cachard, Christian

doi:10.1109/ultsym.2011.0396

Cited by 6 publications

(1 citation statement)

References 19 publications

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“…In the approach, the point spread function (PSF) can be calculated by an analytical method [4]. However, it does not guarantee that the solution is optimized for the imaging of the actual operating range of the transducer.…”

Section: Simulation Conditionmentioning

confidence: 99%

2D Sparse Array Transducer Optimization for 3D Ultrasound Imaging

Choi¹,

Park²

2014

Journal of the Korean Society for Nondestructive Testing

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A 3D ultrasound image is desired in many medical examinations. However, the implementation of a 2D array, which is needed for a 3D image, is challenging with respect to fabrication, interconnection and cabling. A 2D sparse array, which needs fewer elements than a dense array, is a realistic way to achieve 3D images. Because the number of ways the elements can be placed in an array is extremely large, a method for optimizing the array configuration is needed. Previous research placed the target point far from the transducer array, making it impossible to optimize the array in the operating range. In our study, we focused on optimizing a 2D sparse array transducer for 3D imaging by using a simulated annealing method. We compared the far-field optimization method with the near-field optimization method by analyzing a point-spread function (PSF). The resolution of the optimized sparse array is comparable to that of the dense array.

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Section: Simulation Conditionmentioning

confidence: 99%

2D Sparse Array Transducer Optimization for 3D Ultrasound Imaging

Choi¹,

Park²

2014

Journal of the Korean Society for Nondestructive Testing

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Design of Optimal 2-D Nongrid Sparse Arrays for Medical Ultrasound

Diarra

Robini

Tortoli

et al. 2013

IEEE Trans. Biomed. Eng.

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Three-dimensional imaging with 2-D matrix probes is one of the most exciting recent ultrasound innovations. Unfortunately, the number of elements of a 2-D matrix probe is often very high, and reducing this number deteriorates the beam properties. In this paper, we propose a new sparse-array design technique with irregular element positioning, which significantly reduces the number of active elements as well as the grating-lobe level. In particular, we introduce a new cost function for optimizing the weighting coefficients of the elements and a new annealing-based algorithm to compute the lowest cost solutions. Numerical simulations show substantial improvements over standard sparse arrays.

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