Separation of mainlobe and sidelobe contributions to B-mode ultrasound images based on the aperture spectrum.

Rehman AliTrevor MitchamLeandra BricksonWentao HuMarvin DoyleyDeborah RubensZeljko IgnjatovicNebojsa DuricJeremy E P Dahl

Published in: Journal of medical imaging (Bellingham, Wash.) (2022)

The mainlobe contribution to the ultrasound image can be isolated based on the receive aperture spectrum, which greatly reduces the computational cost and memory requirement of this approach as compared with MIST.

Keyphrases

deep learning
magnetic resonance imaging
ultrasound guided
convolutional neural network
working memory
optical coherence tomography
computed tomography