UNSPECIFIED (1992) ULTRASOUND TOMOGRAPHY IMAGING OF DEFECTS USING NEURAL NETWORKS. [Journal Item]

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Abstract

Simulations of ultrasound tomography demonstrated that artificial neural networks can solve the inverse problem in ultrasound tomography. A highly simplified model of ultrasound propagation was constructed, taking no account of refraction or diffraction, and using only longitudinal wave time of flight (TOF). TOF data were used as the network inputs, and the target outputs were the expected pixel maps, showing defects (gray scale coded) according to the velocity of the wave in the defect. The effects of varying resolution and defect velocity were explored. It was found that defects could be imaged using time of flight of ultrasonic rays.

Item Type:	Journal Item
Subjects:	Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software R Medicine > RC Internal medicine > RC0321 Neuroscience. Biological psychiatry. Neuropsychiatry
Journal or Publication Title:	NEURAL COMPUTATION
Publisher:	MIT PRESS
ISSN:	0899-7667
Date:	September 1992
Volume:	4
Number:	5
Number of Pages:	14
Page Range:	pp. 758-771
Publication Status:	Published
URI:	http://wrap.warwick.ac.uk/id/eprint/21762

Data sourced from Thomson Reuters' Web of Knowledge

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