Analysis of Medical Image Pre-Processes of Selected Magnetic Resonance Images
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2017, Vol 5, Issue 7
Abstract
The medical image processing is one of the most challenging procedures, as it deals with the diagnosis of pathology and treatment is planned accordingly. MRI and other imaging modalities have become the most effective advanced technique in the medical sector thus it requires high accuracy and computational capabilities. Because of this reason the image processing techniques are crucial to enhance image quality in order to diagnose pathology accurately. Pre-processing is the most important step in the MRI image analysis due to poor captured MRI image quality and it is also very important to correct and adjust the MRI image for further subsequent steps of image processing. There are different types of techniques available for pre-processing such as filtering. Filters are applied on raw data to improve image quality, noise suppression, contrast enhancement, intensity equalization, outlier elimination, bias compensation, time/space filtering remove the noise, preserves the edges within an image, enhance and smoothen the image. This report evaluates the different types of pre-processing methods by the use of commercially available MATALB.
Authors and Affiliations
S Gamalendira, Shilpa Singh
Keywords
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