An auto TCD probe design and visualization

Huang, Yi and Wen, Peng and Song, Bo and Li, Yan (2018) An auto TCD probe design and visualization. In: 11th International Conference on Brain Informatics (BI 2018), 7-9 Dec 2018, Arlington, Texas, USA.

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Abstract

Transcranial Doppler ultrasound (TCD) is a non-invasive ultrasound method used to examine blood circulation within the brain. During TCD, ultrasound waves are transmitted through the tissues including skull. These sound waves reflect off blood cells moving within the blood vessels, allowing the radiologist to interpret their speed and direction. In this paper, an auto TCD probe is developed to control the 2D deflection angles of the probe. The techniques of Magnetic Resonance Angiography (MRA) and Magnetic Resource Imagine (MRI) have been used to build the 3D human head model and generate the structure of cerebral arteries. The K-Nearest Neighbors (KNN) algorithm as a non-parametric method has been used for signal classification and regression of corresponding arteries . Finally, a global search and local search algorithms are used to locate the ultrasound focal zone and obtain a stronger signal efficient and more accurate result.


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Item Type: Conference or Workshop Item (Commonwealth Reporting Category E) (Paper)
Refereed: Yes
Item Status: Live Archive
Additional Information: Submitted version deposited in accordance with the copyright policy of the publisher.
Faculty/School / Institute/Centre: Current - Faculty of Health, Engineering and Sciences - School of Mechanical and Electrical Engineering
Date Deposited: 17 Apr 2019 02:40
Last Modified: 24 Jun 2019 03:53
Uncontrolled Keywords: auto TCD probe, K-nearest neighbor, signal search and classification
Fields of Research : 08 Information and Computing Sciences > 0899 Other Information and Computing Sciences > 089999 Information and Computing Sciences not elsewhere classified
Identification Number or DOI: 10.1007/978-3-030-05587-5
URI: http://eprints.usq.edu.au/id/eprint/35907

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