Computational intelligence for target assessment in Parkinson's disease

Evangelia Micheli-Tzanakou; J. L. Hamilton; J. Zheng; Richard M. Lehman

doi:10.1117/12.448327

14 November 2001 Computational intelligence for target assessment in Parkinson's disease

Evangelia Micheli-Tzanakou, J. L. Hamilton, J. Zheng, Richard M. Lehman

Proceedings Volume 4479, Applications and Science of Neural Networks, Fuzzy Systems, and Evolutionary Computation IV; (2001) https://doi.org/10.1117/12.448327
Event: International Symposium on Optical Science and Technology, 2001, San Diego, CA, United States

Abstract

Recent advances in image and signal processing have created a new challenging environment for biomedical engineers. Methods that were developed for different fields are now finding a fertile ground in biomedicine, especially in the analysis of bio-signals and in the understanding of images. More and more, these methods are used in the operating room, helping surgeons, and in the physician's office as aids for diagnostic purposes. Neural Network (NN) research on the other hand, has gone a long way in the past decade. NNs now consist of many thousands of highly interconnected processing elements that can encode, store and recall relationships between different patterns by altering the weighting coefficients of inputs in a systematic way. Although they can generate reasonable outputs from unknown input patterns, and can tolerate a great deal of noise, they are very slow when run on a serial machine. We have used advanced signal processing and innovative image processing methods that are used along with computational intelligence for diagnostic purposes and as visualization aids inside and outside the operating room. Applications to be discussed include EEGs and field potentials in Parkinson's disease along with 3D reconstruction of MR or fMR brain images in Parkinson's patients, are currently used in the operating room for Pallidotomies and Deep Brain Stimulation (DBS).

Citation Download Citation

Evangelia Micheli-Tzanakou, J. L. Hamilton, J. Zheng, and Richard M. Lehman "Computational intelligence for target assessment in Parkinson's disease", Proc. SPIE 4479, Applications and Science of Neural Networks, Fuzzy Systems, and Evolutionary Computation IV, (14 November 2001); https://doi.org/10.1117/12.448327

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