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Bio-inspired Genetic Algorithms on FPGA Evolvable Hardware

  • Vladimir Kasik
  • Marek Penhaker
  • Vilem Novak
  • Radka Pustkova
  • Frantisek Kutalek
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7197)

Abstract

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.

Keywords

CSF Skull FPGA Genetic Algorithm 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Vladimir Kasik
    • 1
  • Marek Penhaker
    • 1
  • Vilem Novak
    • 2
  • Radka Pustkova
    • 1
  • Frantisek Kutalek
    • 1
  1. 1.Faculty of Electrical Engineering and Computer Science, Department of Cybernetics and Biomedical EngineeringVSB - Technical University of OstravaOstravaCzech Republic
  2. 2.Child Neurology ClinicFaculty Hospital OstravaOstravaCzech Republic

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