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Inverse Problem Approach to Aberration Correction for in vivo Transcranial Imaging Based on a Sparse Representation of Contrast-enhanced Ultrasound Data

Paul Xing, Antoine Malescot, Eric Martineau, Ravi L. Rungta and Jean Provost

Article (2025)

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Department: Department of Engineering Physics
PolyPublie URL: https://publications.polymtl.ca/64696/
Journal Title: IEEE Transactions on Biomedical Engineering
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tbme.2025.3564473
Official URL: https://doi.org/10.1109/tbme.2025.3564473
Date Deposited: 28 Apr 2025 08:25
Last Modified: 28 Apr 2025 08:25
Cite in APA 7: Xing, P., Malescot, A., Martineau, E., Rungta, R. L., & Provost, J. (2025). Inverse Problem Approach to Aberration Correction for in vivo Transcranial Imaging Based on a Sparse Representation of Contrast-enhanced Ultrasound Data. IEEE Transactions on Biomedical Engineering, 1-15. https://doi.org/10.1109/tbme.2025.3564473

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