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A PC-based neural network for on-line measurement of regional cerebral blood flow

โœ Scribed by F.Y. Wu; K.K. Yen

Publisher
Elsevier Science
Year
1992
Tongue
English
Weight
831 KB
Volume
22
Category
Article
ISSN
0010-4825

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โœฆ Synopsis

The measurement of regional cerebral blood flow has been used in diagnoses for many cerebral disorders. However, the complexity of data processing makes the technique only possible for off-line study. This paper explores a PC-based neural net technique for on-line determination of the blood flow rate. Experimental results justify the efficiency of the proposed methodology and raise the possibility of designing a portable system for time-critical applications.

Regional cerebral blood flow 133Xe inhalation method network

Back-propagation learning algorithm Feed-forward neural About the Author-FRED Y. Wu received his B.S. in Electrical Engineering from the Tatung Institute of Technology (Taiwan) in 1980 and the Ph.D. degree in Computer Engineering from

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## Introduction: The bolus-tracking (bt) technique is the most popular perfusion-weighted (pw) dynamic susceptibility contrast mri method used for estimating cerebral blood flow (cbf), cerebral blood volume and mean transit time. the bt technique uses a convolution model that establishes the input-