本論文旨在利用Micro LED面板實現醫療顯示器的色溫與灰階階調校正。醫療顯示器在醫學影像診斷和手術引導等領域扮演著重要角色，因此準確的色彩再現和細膩的灰階表現對於提供精確的診斷結果至關重要。然而一般的商用顯示器的灰階階調曲線為γ或是高動態範圍，而這些顯示器灰階訊號與亮度的關係並不適合人眼觀看黑白醫療影像。
醫療影像管理的協定DICOM詳細規範了醫療顯示器的標準灰階顯示函數-DICOM GSDF，如果能符合該標準便能夠保證醫療影像內容的細節與提高判讀精準度。Micro LED面板技術作為新一代醫療顯示器的顯示技術，這種面板具有高亮度、高對比度和廣色域等特點，能夠提供更準確和真實的色彩再現。本論文希望能透過所提出的醫療顯示器色溫與灰階階調校正演算法實現所需的色溫以及在不同環境照度、面板反射係數的條件最佳化灰階的細節和平滑度，使醫學影像的內容更加清晰、容易判讀。 為了驗證本論文所提演算法的有效性，本論文在將校正演算法套用在Micro LED與LCD上進行不同條件的校正後，分別進行了亮度響應以及色溫的評估實驗。從結果來看本論文所提的演算法能夠通用在不同的面板種類、環境照度、面板反射係數、色溫需求。預期隨著Micro LED本身技術的成熟，對於大幅提高醫學影像的準確性和可靠性具有重要意義，有望在醫學診斷和手術引導等領域得到廣泛應用。

This paper aims to achieve color temperature and grayscale calibration in medical displays using Micro LED panel technology. Medical displays play a crucial role in medical imaging diagnosis and surgical guidance, where accurate color reproduction and subtle grayscale performance are vital for providing precise diagnostic results. However, conventional commercial displays utilize γ or higher dynamic range curves like PQ (Perceptual Quantization) and HLG (Hybrid Log–Gamma), which are not suitable for viewing black-and-white medical images due to the mismatch between grayscale signals and brightness perceived by the human eye. The DICOM (Digital Imaging and Communication in Medicine) protocol, used for medical image management, details the standard grayscale display function for medical displays called DICOM GSDF (Grayscale Standard Display Function). Complying with this standard ensures the preservation of image details and improves interpretive accuracy. Micro LED panel technology, as a next-generation display technology for medical displays, offers features such as high brightness, high contrast ratio, and wide color gamut, enabling more accurate and realistic color reproduction. This paper proposes an algorithm for color temperature and grayscale calibration in medical displays, aiming to optimize the details and smoothness of grayscale based on the desired color temperature, different ambient illumination conditions, and panel surface reflectance coefficients. The goal is to enhance the clarity and interpretability of medical image content. To validate the effectiveness of the algorithm proposed in this paper, experiments were conducted by applying the algorithm to both Micro LED panels and mainstream LCDs under various conditions. The brightness response and color temperature were evaluated according to the standards set by the American Association of Physicists in Medicine (AAPM). The results indicate that the algorithm presented in this paper is applicable to different panel types, varying ambient illuminations, different panel surface reflectance coefficients, and diverse color temperature requirements. Moreover, as Micro LED technology continues to mature, it holds significant potential for greatly improving the accuracy and reliability of medical imaging. Therefore, its wide application in medical diagnosis and surgical guidance can be expected.

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