植基於影像處理技術之網路醫療輔助診斷系統

隨著時代的進步，影像處理技術應用在醫學上的情況越來越普遍，但是如今的醫療輔助診斷系統還是有很多不足的地方。舉例來說像是操作程序過於複雜、處理時間太久、輔助結果不夠人性化以及所分割定位出的結果並不夠準確，這些通通是現在醫學影像上的研究重點。基於以上這些理由，因此在這邊提供一個完善的醫學輔助系統。首先，可以先對所得到的醫學影像做些型態影像學的去雜點以及加強明暗對比，之後再藉由Sobel Filter的分割法將所感興趣的影像找出來;並且在一連串的影像中設立定位模組，更能夠對整個系列的圖像產生定位化的效果;再來可以由醫療人員針對所想要觀察的部位來做影像的設定及分析，觀察其體積變化以及能量強度的反應;最後再針對這些結果其所定位出來的部位定不同之門檻值並轉換以影像呈現，藉由轉換後之影像資料，來做為醫師診斷之輔助資訊。由於不需要額外的輔助工具或是消耗過多的資源，因此這個系統可以節省大量的時間。最後將這些功能通通應用在網路上，達到只要有網路就可以隨手取用的功能，可以提供一個無形又便利的輔助工具。

關鍵字

影像分割；對比增強；影像分析

並列摘要

As time goes by, it becomes common that some technologies of image processing applied on medical purposes. There are still shortages and disadvantages of current medical aid system. Complex operation procedures, long processing time, unfriendly and inaccurate results, these topics are popular issues on research of medical image processing. Based on these reasons above, we proposed a complete medical aid system to remove noises and enhance contrast from the source medical image. Then the regions of interest are divided by Sobel Filter and positioning models are established in a set of continuous frames to locate regions in a series of images. We can change the settings of medical image analysis according to users’ requirements and observe the volume variation and intensity of energy to present target images by different thresholds in cases. Theses processed image information can be referenced by doctors. There is no necessary for using additional tools and resources, so diagnosis time can be saved by using this system. Finally we integrated this system to a web component, users can access this system via network, we just develop a convenient and efficient tool.

並列關鍵字

Median Filter ； Contrast Enhancement ； Sobel Filter

參考文獻

[3] The DICOM Standard Miloš Šrámek Viskom, Austrian Academy of Sciences

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國際替代計量

植基於影像處理技術之網路醫療輔助診斷系統

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