Accelerated Intravascular Ultrasound Imaging using Deep Reinforcement Learning

Tristan S.W. Stevens, Nishith Chennakeshava, Frederik J. de Bruijn, Martin Pekař, Ruud J.G. van Sloun

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

Samenvatting

Intravascular ultrasound (IVUS) offers a unique perspective in the treatment of vascular diseases by creating a sequence of ultrasound-slices acquired from within the vessel. However, unlike conventional hand-held ultrasound, the thin catheter only provides room for a small number of physical channels for signal transfer from a transducer-array at the tip. For continued improvement of image quality and frame rate, we present the use of deep reinforcement learning to deal with the current physical information bottleneck. Valuable inspiration has come from the field of magnetic resonance imaging (MRI), where learned acquisition schemes have brought significant acceleration in image acquisition at competing image quality. To efficiently accelerate IVUS imaging, we propose a framework that utilizes deep reinforcement learning for an optimal adaptive acquisition policy on a per-frame basis enabled by actor-critic methods and Gumbel top-K sampling.
Originele taal-2Engels
Titel2022 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2022 - Proceedings
UitgeverijInstitute of Electrical and Electronics Engineers
Pagina's1216-1220
Aantal pagina's5
ISBN van elektronische versie978-1-6654-0540-9
DOI's
StatusGepubliceerd - 27 apr. 2022
Evenement2022 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2022 - Marina Bay Sands Expo & Convention Center, Signapore, Singapore
Duur: 22 mei 202227 mei 2022
https://2022.ieeeicassp.org/

Congres

Congres2022 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2022
Verkorte titelICASSP
Land/RegioSingapore
StadSignapore
Periode22/05/2227/05/22
Internet adres

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