近年來在平面顯示器蓬勃發展之下，其應用的範圍日漸廣泛，而顯示器本身的顯示特性也備受重視。以醫療用的顯示器演進為例，醫生在診斷病情時，若顯示器在醫療影像的顯示性能不佳，而導致病理圖片的細節無法清晰的呈現，就可能會造成醫生在判斷病情上的困擾。

然而，DICOM (Digital Imaging and Communication in Medicine)針對醫療用的顯示裝置，制訂了一個灰階標準顯示函數GSDF (Grayscale Standard Display Function)，以確保醫療用的顯示裝置在顯示醫療影像時能具備良好的表現能力，使類似X 光片等黑白影像在顯示時能夠更清晰的表現出紋理細節。

本論文在實驗初期，依循DICOM 3.14的建議，對市面上的標準LCD顯示器產品進行醫療影像顯示性能的評價分析，結果是與其標準差異甚大，也是因為如此，市面上醫療用的LCD，都是經過複雜的校正程序，才達到較好的顯示品質。

本研究最後根據DICOM 3.14的原則及其色彩影像技術的運用，開發出一套能提升醫療影像顯示性能的系統，能應用在具備不同顯示特性的顯示器，搭配後經本論文建議的演算法，使階調複製曲線能夠符合標準GSDF的顯示特性，同時俱備標準色溫的特性，提升顯示器在顯示醫療影像的品質，並能通過由美國物理協會影像信息工作組提出的AAPM TG18準則裡，顯示器的醫療影像評價方法。

Recently, under vigorous development, the application of the flat-panel display (FPD) is applied in broader scope and its image reproduction quality also becomes an important role. Take the evolution of display on medical use into consideration, if the pathological image cannot be reproduced clearly in details which may cause doctors confused in making correct diagnosis judgment.

However, DICOM (Digital Imaging and Communications in Medicine) has already developed a Grayscale Standard Display Function (GSDF) for medical display devices to ensure that the devices can exhibit a better image performance capability when displaying medical images, such as X-ray photograph etc., these black-and-white images can be reproduced more clear in detailed textures.

This paper, following the DICOM 3.14 proposal in the first beginning, evaluates the medical images reproduction performance to the standard monitors found on the marketplaces. The results show far behind to the standard requirements. This is the reason why the complicated calibration procedures are necessary for the merchandized medical LCDs to reach a better display image quality.

In our study, finally, a system to improve the medical image display performance which can be applied on the displays with different display characteristics is generated according to the principle of DICOM 3.14 and its color imaging technology application. The Tone Reproduction Curve of the display, using algorithm mentioned in this paper, fulfills the display requirements of GSDF standard and simultaneously meets the characteristics of standard color temperature which increases the medical image quality of display and also satisfies with the image evaluation method criteria of AAPM TG18 proposed by American Association of Physicists in Medicine.

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