| Summary: | 碩士 === 淡江大學 === 資訊工程學系碩士班 === 93 === With the progress of technology, medical examination equipments have become more and more delicate. It has become more and more common to make diagnosis without having intrusive examination. Various examinations such as CT scan or MRI are available to achieve such purpose. However, most medical examination images are still in gray scale. Yet, human beings are not that sensitive to gray scale images and can’t recognize such images very well. Hence, difficulty on making diagnosis has increased.
DICOM is a transmission protocol that is commonly used in these days’ medical informative systems between hospitals. Our research has applied techniques of image processing to our system, read source images by following the DICOM3.0 transmission protocol. Also, we have adopted skills of intensity slices to enhance the original examination images for better recognition. Based on the skills of intensity slices and three different values of statistic and analysis, we have created an interface for query/retrieval. Which can provide advanced auxiliary diagnostic information. Further more, we have also proposed a fine solution for error image fetching because of incorrect parameters setting or human body movement during the examination.
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