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A new beamforming method and hardware architecture for real time two way dynamic depth focusing

total focus phased array
virtual array
dynamic depth focusing - DDF
dynamic depth full focusing -DDFF
beamforming
refraction
Jorge F. Cruza, Jorge Camacho, Raúl Mateos, Carlos Fritsch
Ultrasonics Volume 99, November 2019, 105965
https://doi.org/10.1016/j.ultras.2019.105965

The Total Focusing Method (TFM) yields a focused image in emission and in reception while Phased Array (PA) imaging provides Dynamic Depth Focusing (DDF) in reception only. Besides, most NDE applications have two propagation media, where refraction at the interface complicates time-of-flight (TOF) and focal law computations. This affects especially TFM, which must compute the TOFs from all elements to image pixels and use them to select the data for imaging.

A new method with real-time Dynamic Depth Full Focusing (DDFF), in emission and reception, is proposed in this work. It is called Total Focusing Phased Array (TFPA) because it uses concepts of TFM and PA. Omnidirectional emissions are used to create a synthetic aperture as in TFM, while beamforming is carried out along scan lines as in PA, simplifying the delay calculation in the presence of interfaces and providing an efficient hardware implementation.

Refraction at the interface between two media is eliminated by a Virtual Array (VA) that converts such scenario into a simple homogeneous medium. Propagation can be considered along scan lines from the virtual array at constant speed, as in homogeneous media. Strict dynamic focusing is performed in real-time, an important difference with other approaches that require iterative Fermat search to get the focal laws for every imaged point. With TFPA only 3 parameters per element and scan line are required to perform this task.

Experiments are carried out to compare the three techniques, PA, TFM and TFPA. TFM and TFPA yield similar image quality, offering improved depth of field and resolution over PA. On the other hand, TFPA avoids most of the burden for computing TOFs and operates in real time with one or two media propagation.

Acknowledgement

Dr. Jorge Fernández received fellowship PTQ-17-09089 of the ‘Programa Torres Quevedo’ of the Spanish Ministry of Economy and Competitiveness. This work is partially supported by the project RTI2018-099118-A-I00 founded by MCIU/AEI/FEDER, UE.

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