Deep convolutional robust PCA with application to ultrasound imaging

Regev Cohen, Yi Zhang, Oren Solomon, Daniel Toberman, Liran Taieb, Ruud J.G. van Sloun, Yonina C. Eldar

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

4 Citaten (Scopus)

Samenvatting

Sparse and low-rank decomposition, also known as robust principle component analysis, has been applied successfully in numerous applications. Typically, this approach leads to a minimization problem which is solved using iterative algorithms. Drawing inspiration from recurrent networks, in recent years deep-learning strategies have been extended to mimic the behavior of iterative algorithms, with reduced complexity. In this work, we propose an extension of these deep architectures to robust principle component analysis in which fully-connected layers are replaced with convolutional ones. This strategy offers spatial invariance and significant reduction in the number of learned parameters. We then apply the proposed method to contrast-enhanced ultrasound, in which low-rank tissue signal needs to be removed in order to visualize blood vessels. We demonstrate the effectiveness of our approach on simulations and in-vivo rat brain scans. The resulting images exhibit improved visual quality and contrast compared with images obtained by commonly practiced methods.

Originele taal-2Engels
Titel2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Proceedings
Plaats van productiePiscataway
UitgeverijInstitute of Electrical and Electronics Engineers
Pagina's3212-3216
Aantal pagina's5
ISBN van elektronische versie978-1-4799-8131-1
DOI's
StatusGepubliceerd - mei 2019
Evenement44th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Brighton, Verenigd Koninkrijk
Duur: 12 mei 201917 mei 2019

Congres

Congres44th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019
LandVerenigd Koninkrijk
StadBrighton
Periode12/05/1917/05/19

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  • Citeer dit

    Cohen, R., Zhang, Y., Solomon, O., Toberman, D., Taieb, L., van Sloun, R. J. G., & Eldar, Y. C. (2019). Deep convolutional robust PCA with application to ultrasound imaging. In 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019 - Proceedings (blz. 3212-3216). [8683030] Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ICASSP.2019.8683030