隨著科技的進步，醫療檢驗儀器也更為之精密，不經由侵入式檢查而診斷出病因的技術亦日益普遍，例如斷層掃描、磁振造影…等。大多數的醫學檢驗影像仍為灰階影像，然而人眼對灰階影像之辨識度並不高，也增加了在診斷病因上的困難度。 DICOM為現今醫院醫療資訊系統中通用的傳輸規格，本研究藉由應用影像處理之技術，遵循DICOM3.0之傳輸規格讀取來源影像，採用強度切片(Intensity Slicing)之技術強化原檢驗之影像資訊以強化視覺辨識效果，並延續強度切片之技術，配合三種分析值之統計與分析，提供一個醫療人員查詢/檢索(Query/Retrieval)之介面，以提供其更進一步之輔助診斷資訊，此外，對於因造影參數設定不良而造成取像失敗的檔案，本研究擬採用影像轉換技術強化其視覺效果，使其能更為人眼所接受，而對於檢驗時人體位移問題而造成取像失敗，本論文亦提供了良好的解決方案。 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.
