@inbook{ef00ffe7ff17447b810077b60a0649e0,
title = "Brain Sensing with Ultrasound Tomography and Deep Learning Algorithms",
abstract = "Ultrasound computer tomography (USCT) represents a medical imaging modality designed to visualize alterations in the speed of ultrasonic waves. The primary objective of the study presented was to devise a lightweight, portable, and cost-effective tomographic device capable of non-invasively capturing internal images of the human brain in real-time. To achieve this aim, a prototype ultrasonic tomograph was developed, comprising a lightweight head hoop integrated with ultrasonic transducers and a tomograph unit. Ultrasonic measurements were transformed into images using a heterogeneous convolutional neural network (CNN). The USCT system was engineered to facilitate wireless communication between the sensors embedded within the wearable head cap and the tomographic apparatus.",
keywords = "brain imaging, brain phantom, deep learning, speed of sound imaging, ultrasound tomography",
author = "Grzegorz K{\l}osowski and Tomasz Rymarczyk and Manuchehr Soleimani",
year = "2023",
month = oct,
day = "6",
doi = "10.1145/3570361.3615734",
language = "English",
isbn = "9781450399906",
series = "Proceedings of the Annual International Conference on Mobile Computing and Networking, MOBICOM",
publisher = "Association for Computing Machinery",
pages = "1507--1509",
booktitle = "ACM MobiCom '23: Proceedings of the 29th Annual International Conference on Mobile Computing and Networking",
address = "USA United States",
note = "29th Annual International Conference on Mobile Computing and Networking, MobiCom 2023 ; Conference date: 02-10-2023 Through 06-10-2023",
}