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  • 學位論文

熱成像信號重建法在醫學紅外線影像中的時相與環境分析

Temporal and Environmental Analysis of Thermographic Signal Reconstruction on Medical Infrared Imaging

指導教授 : 劉偉名
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摘要


對於醫學研究以及臨床上的相關應用來說,定位以及辨別出人體下的微血管和血管都有著重要的地位。其需求在醫療的領域中隨處可見,小至普通的血液分析(疾病檢查,如抽血),大至保健、復健以及手術等等。對於醫學研究單位來說也很重要,若要檢視和評估局部血管功能和全身循環系統健康,那麼辨別出人體皮膚下不同功能的血管則是首要之務。因此,如何定位以及辨別出皮下血管是一項具有高度價值的研究。然而要揭露出人體下的血管仍舊是一項艱鉅的任務,特別是微血管的部分。近年來,已有許多侵入式以及非侵入式的方法都相繼被提出來解決這個問題。而一項原本被用於航太工業去偵測大型複合材料內部缺陷的知名非破壞性檢測(Nondestructive evaluation, NDE)技術--熱訊號重建法(Thermal Signal Reconstruction, TSR),最近已被應用在一個新穎的領域─醫學紅外線影像上。它以非侵入式、無顯影劑的方法來增加影像的對比,進而顯示出各式各樣的血管。 在本研究中,我們使用了兩種驗證方法:Beghdadi & Negrate’s的對比度以及信噪比(Signal-to-Noise Ratio, SNR)來驗證TSR的可行性以及效能。此外,我們還深入探討TSR在各種環境下(如:取樣頻率快慢、室溫高低、不同波段、不同受測者、不同階的微分以及多項式擬合等等)的可用性以及被重建後的影像品質。主要的目的是研究這些參數設定在困難的應用環境中如何影響皮下血管的偵測率。

並列摘要


For the medical studies and clinical-related applications, locating and recognizing vessels or microvasculature under the human’s skin have accounted for a very important place. The needs are seen everywhere in the area of medicine, ranging from general blood analysis (disease inspection, such as blood draw) to health care, rehabilitation and surgery, etc.. It’s also very important to the medical research organizations. To further study and assess the local vascular functions and infer the systemic circulatory health, visualizing the subcutaneous vessels with different functionalities is the first task to complete. Therefore, it is a highly valuable research for locating and identifying subcutaneous vessels or microvasculature. However, exposing subcutaneous vessels especially microvasculature is not easy. Many invasive and non-invasive methods have been developed to tackle this problem. Recently, a well-known nondestructive evaluation (NDE) technique called Thermal Signal Reconstruction (TSR), which is originally used in aerospace industry to detect defects inside a large composition sample, has been applied to a new area ─ medical infrared imaging. It is a non-invasive and contrast agent-free method to increase image’s contrast, and thus help us to reveal various blood vessels. In our study, we used two verification methods: Beghdadi & Negrate’s contrast measurement and signal-to-noise ratio (SNR) to verify the feasibility and performance of TSR approach. Besides, we further explored the capability of TSR in various environments (different sampling rates, different room temperatures, different subjects, different wavelengths, different order of derivative and polynomial fitting, etc.), and the quality of reconstructed images. The main goal is to study how these parameter settings influence the detection rate of microvasculature under difficult application cases.

並列關鍵字

contrast measurement TSR NDE Medical infrared imaging SNR

參考文獻


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