Real-Time Coded Excitation Imaging Using a CMUT-based Side Looking Array for Intravascular Ultrasound

Journal Article (2021)
Author(s)

Reza Pakdaman Zangabad (Erasmus MC)

Johan G. Bosch (Erasmus MC)

Frits Mastik (Erasmus MC)

Robert H.S.H. Beurskens (Erasmus MC)

Vincent A. Henneken (Philips Research)

Johannes W. Weekamp (Philips Research)

Antonius F.W. van der Steen (TU Delft - ImPhys/Medical Imaging, Erasmus MC, Philips Research)

Gijs van Soest (Erasmus MC)

Research Group
ImPhys/Medical Imaging
DOI related publication
https://doi.org/10.1109/TUFFC.2021.3054971
More Info
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Publication Year
2021
Language
English
Research Group
ImPhys/Medical Imaging
Issue number
6
Volume number
68
Article number
9336716
Pages (from-to)
2048-2058
Downloads counter
393
Collections
Institutional Repository
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Abstract

Intravascular ultrasound (IVUS) is a well-established diagnostic method that provides images of the vessel wall and atherosclerotic plaques. We investigate the potential for phased-array IVUS utilizing coded excitation (CE) for improving the penetration depth and image signal-to-noise ratio (SNR). It is realized on a new experimental broadband capacitive micromachined ultrasound transducer (CMUT) array, operated in collapse mode, with 96 elements placed at the circumference of a catheter tip with a 1.2- {mm} diameter. We characterized the array performance for CE imaging and showed that the -6-dB device bandwidth at a 30-V dc biasing is 25 MHz with a 20-MHz center frequency, with a transmit sensitivity of 37 kPa/V at that frequency. We designed a linear frequency modulation code to improve penetration depth by compensating for high-frequency attenuation while preserving resolution by a mismatched filter reconstruction. We imaged a wire phantom and a human coronary artery plaque. By assessing the image quality of the reconstructed wire phantom image, we achieved 60- and 70- mu{mathrm {m}} axial resolutions using the short pulse and coded signal, respectively, and gained 8 dB in SNR for CE. Our developed system shows 20-frames/s, pixel-based beam-formed, real-time IVUS images.