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2012 | OriginalPaper | Chapter

Bio-inspired Genetic Algorithms on FPGA Evolvable Hardware

Authors : Vladimir Kasik, Marek Penhaker, Vilem Novak, Radka Pustkova, Frantisek Kutalek

Published in: Intelligent Information and Database Systems

Publisher: Springer Berlin Heidelberg

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The results presented in this article introduce the possibility of software processing by image data from CT and MRI in clinical practice. It is important to work with the most accurate data in the diagnosis and further monitoring of the patient. Especially in case of the birth defects or post-traumatic conditions of head called Hydrocephalus, it is necessary to work with this data. A production increase of the cerebrospinal fluid, called cerebrospinal fluid (CSF), causes bring intracranial pressure up. The oppression of the brain tissue has resulted of this procedure. The determination of CSF ratio to the skull in medical practice is used to improve diagnosis and monitoring before and after surgery in patients with Hydrocephalus diagnosed. Software was implemented in Matlab2006b using Image processing Toolbox. Next, the article also describes the design of hardware solutions to these methods of real-time image processing using FPGA programmable logic and genetic algorithm.

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Metadata
Title
Bio-inspired Genetic Algorithms on FPGA Evolvable Hardware
Authors
Vladimir Kasik
Marek Penhaker
Vilem Novak
Radka Pustkova
Frantisek Kutalek
Copyright Year
2012
Publisher
Springer Berlin Heidelberg
DOI
https://doi.org/10.1007/978-3-642-28490-8_46

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