To recognise the great work of our members in the field of Neurosonology, ESNCH will spotlight relevant publications on our social media channels (Facebook, Twitter and LinkedIn) and collect them here for easy access. If you have recently published a paper or would like to nominate the work of another member, please send your suggestions for Research Spotlights to firstname.lastname@example.org with a brief summary of why the research is important.
This paper describes a deep learning–based system for automatic characterization of the optic nerve from B-mode TOS images by automatic measurement of the OND and ONSD. The authors additionally determine how the signal-to-noise ratio in two different areas of the image influences system performance.
A UNet was trained as the segmentation model. The training was performed on a multidevice, multicenter data set of 464 TOS images from 110 subjects. Fivefold cross-validation was performed, and the training process was repeated eight times. The final prediction was made as an ensemble of the predictions of the eight single models. Automatic OND and ONSD measurements were compared with the manual measurements taken by an expert with a graphical user interface that mimics a clinical setting.
Francesco Marzola, Piergiorgio Lochner, Andrea Naldi, Robert Lemor, Jakob Stögbauer, Kristen M. Meiburger, Development of a Deep Learning–Based System for Optic Nerve Characterization in Transorbital Ultrasound Images on a Multicenter Data Set, Ultrasound in Medicine & Biology, (2023).
*This pre-published link provides open access to the latest version of the article until 12 August 2023.
This recent publication focuses on the use of transcranial sonography to study white matter lesions. This project was awarded as “Best Young Investigator Study” in the 25th Conference of the European Society of Neurosonology and Cerebral Hemodynamics (Belgrade, 2021).