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Poster Abstract: The Concept of a Lightweight Ultrasound Tomograph for Brain Scanning Using a Heterogeneous Neural Model

Published:26 April 2024Publication History

ABSTRACT

The primary objective of the research is the development of a lightweight and cost-effective headband-style tomographic apparatus capable of non-invasively capturing real-time internal cerebral images. A prototype of an ultrasonic tomograph was engineered, comprising a lightweight cranial band synergized with ultrasonic transducers and the tomographic system. Ultrasonic measurements were transmuted into visualizations via a heterogeneous convolutional neural network (CNN). The Ultrasonic Computed Tomography (USCT) architecture was conceived to facilitate untethered data interchange between the head-worn sensor array and the tomographic machinery.

References

  1. Weibao Qiu, Ayache Bouakaz, Elisa E. Konofagou, and Hairong Zheng. 2021. Ultrasound for the Brain: A Review of Physical and Engineering Principles, and Clinical Applications. IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control 68, 1. Google ScholarGoogle ScholarCross RefCross Ref

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  • Published in

    cover image ACM Conferences
    SenSys '23: Proceedings of the 21st ACM Conference on Embedded Networked Sensor Systems
    November 2023
    574 pages
    ISBN:9798400704147
    DOI:10.1145/3625687

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    • Published: 26 April 2024

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    Overall Acceptance Rate174of867submissions,20%
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