Compressed sensing for reduced hardware footprint in medical ultrasound.
Abstract
null null In this work, a compressed sensing method to reduce hardware complexity of ultrasound imaging systems is proposed and experimentally verified. We provide clinical evaluation of the method with a possible high compression rates (up to 64 RF signals compressed into a single channel on receive) which uses elastic net estimation for decoding stage. This allows a reduction in size and power consumption of the front-end electronics with only...
Paper Details
Title
Compressed sensing for reduced hardware footprint in medical ultrasound.
Published Date
Dec 1, 2020
Journal
Volume
108
Pages
106214
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