Deep Learning for Automatic Segmentation of Hybrid Optoacoustic Ultrasound (OPUS) Images

Lafci, Berkan; Mercep, Elena; Morscher, Stefan; Dean-Ben, Xose Luis; Razansky, Daniel

doi:10.5167/uzh-211673

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Lafci, B., Mercep, E., Morscher, S., Dean-Ben, X. L., & Razansky, D. (2021). Deep Learning for Automatic Segmentation of Hybrid Optoacoustic Ultrasound (OPUS) Images. IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, 68, 688–696. https://doi.org/10.1109/tuffc.2020.3022324

Abstract

The highly complementary information provided by multispectral optoacoustics and pulse-echo ultrasound have recently prompted development of hybrid imaging instruments bringing together the unique contrast advantages of both modalities. In the hybrid optoacoustic ultrasound (OPUS) combination, images retrieved by one modality may further be used to improve the reconstruction accuracy of the other. In this regard, image segmentation plays a major role as it can aid improving the image quality and quantification abilities by facilitatin