2019
DOI: 10.1109/tuffc.2019.2914348
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Imaging Performance for Two Row–Column Arrays

Abstract: This study evaluates the volumetric imaging performance of two prototyped 62+62 row-column-addressed (RCA) 2-D array transducer probes using three Synthetic Aperture Imaging (SAI) emission sequences and two different beamsformers. The probes are fabricated using capacitive micromachined ultrasonic transducer (CMUT), and piezoelectric transducer (PZT) technology. Both have integrated apodization to reduce ghost echoes and are designed with similar acoustical features i.e., 3 MHz center frequency, λ /2-pitch, an… Show more

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Cited by 36 publications
(45 citation statements)
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“…This again can be used for increasing the center frequency of the probe and thereby resolution. Arrays with only 64+64 elements at 3 MHz have attained a decent volumetric image quality and a penetration down to 30 cm for SA imaging sequences [79].…”
Section: From 2-d To 4-dmentioning
confidence: 99%
“…This again can be used for increasing the center frequency of the probe and thereby resolution. Arrays with only 64+64 elements at 3 MHz have attained a decent volumetric image quality and a penetration down to 30 cm for SA imaging sequences [79].…”
Section: From 2-d To 4-dmentioning
confidence: 99%
“…In both experiments, the inter-volume stage movement was 12.5 µm, which emulates a 2 mm/s velocity at a 160 Hz volume rate. The imaging probe was a prototype 62 + 62 elements 3 MHz piezo-electric, row-column addressed (RCA) transducer [11]. The probe was connected to the experimental scanner SARUS [12], a system capable of storing all channel data to be processed offline.…”
Section: B Experimental Setup and Proceduresmentioning
confidence: 99%
“…Transmissions were conducted using the rows, and data were received on all 62 columns. The virtual line sources emitted cylindrical waves [17] in a sequence with 32 positive emissions and 32 negative emission to make pulse inversion imaging possible. The transmit F-number was -1 using 32 Hanning apodized active elements, with the virtual source placed behind the array.…”
Section: A Data Acquisition and Beamformingmentioning
confidence: 99%
“…The beamformed volumes are processed in Matlab using our 3-D SR processing pipeline consisting of three steps. The first is to beamform the stored RF data from the SARUS scanner using the beamforming strategy described by Rasmussen et al [16,17] implemented in Matlab and running on an Nvidia GeForce GTX 1050 Ti (Nvidia, Santa Clara, CA, USA) GPU [19]. For the flow micro-phantom the second harmonic signal is employed, and a filter matched to the second harmonic is employed on all the received signals.…”
Section: Processing Pipelinementioning
confidence: 99%