Biomedical Imaging by Karen M. Mudry, Robert Plonsey, Joseph D. Bronzino

By Karen M. Mudry, Robert Plonsey, Joseph D. Bronzino

Created from chapters conscientiously chosen from CRC's best-selling engineering handbooks, volumes within the ideas and functions in Engineering sequence supply handy, affordable references sharply all for specific engineering themes and subspecialties. Culled from the Biomedical Engineering instruction manual, Biomedical Imaging offers an summary of the most scientific imaging units and highlights rising platforms. With purposes starting from imaging the complete physique to replicating mobile elements, the imaging modalities mentioned contain x-ray structures, computed tomographic structures, magnetic resonance imaging, nuclear drugs, ultrasound, MR microscopy, digital truth, and extra.

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In the case of the visual system, one could call the receptive field a well-defined region of the visual field which, when stimulated, will change the firing rate of a neuron in the visual pathway. The response of that neuron will usually depend on the distribution of light in the receptive field. Therefore, the information collected by the brain from the outside world is transformed into spatial as well as temporal patterns of neuronal activity. The question often asked is how do we perceive and recognize faces, objects, and scenes.

Copyright © 2003 CRC Press, LLC 1810_ BOOK Page 3 Monday, January 20, 2003 7:39 AM Vision System 4-3 Thus bipolar cells respond only at the border between dark and light areas. Bipolar cells come in two varieties, on-center and off-center, with the center brighter or darker, respectively, than the surround. The center response of bipolar cells results from direct contact with the receptors. The surround response is supplied by the horizontal cells, which run parallel to the surface of the retina between the receptor layer and the bipolar layer, allowing the surrounding area to oppose the influence of the center.

Such methods include: Functional notations Graphic solutions Tabular solution Taylor’s series expansions Artificial neural network modeling These models include both one-dimensional examination of the phenomenon and two-dimensional treatment, where a two-dimensional array is used as a stimulus. This two-dimensional treatment is justified because most of the sensory receptors of the body form two-dimensional maps (receptive fields). In principle, if a one-dimensional lateral inhibition system is linear, one can extend the analysis to two dimensions by means of superposition.

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