Digital image processing and analysis for medical applications

Significant progress in imaging techniques • Advanced quantum physics theories (e.g. NMR) • Progress in microelectronics (tremendous increase in speed and capacity of integrated circuits) • Revolution in information technology (Internet, multimedia) • Importance of vision as a primary sense of humans.

Various image modalities are available to visualize internal human organs • Magnetic resonance imaging is a revolutionary noninvasize imaging technique • Image processing and analysis tools support quantative medical diagnosis • Digital image analysis can contribute to increased accuracy and objectivity of medical diagnosis • There are many other issues in medical image processing/analysis, such as image registration, that could not be covered by this tutorial due to limited time…


Prognosis • Increase of image resolution, reduction of noise, new techniques (e.g. functional MRI) • Digital storage and transmission of images • Wide usage of virtual reality technologies (e.g. in surgery and education) • Increase of significance of quantitative analysis methods ⇒ accuracy, repeatability, objectivity • Faster diagnosis (more powerful computers, object-oriented programing, artificial intelligence) • Broad utilisation of computer networks for telemedicine (cable and wireless Internet, image compression)


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