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研究生： 胡嘉貫
WU KA KUN
論文名稱： 基於鬼影成像之光聲顯微鏡
Photoacoustic Microscopy Using Ghost Image Reconstruction
指導教授： 鍾德元
Te-yuan Chung
口試委員:
學位類別： 碩士
Master
系所名稱： 理學院 - 光電科學與工程學系
Department of Optics and Photonics
論文出版年： 2020
畢業學年度： 108
語文別： 中文
論文頁數： 141
中文關鍵詞： 光聲效應 、壓縮感知 、影像辨識 、光聲鬼影顯微成像系統 、凸優化演算法
外文關鍵詞： Compressive Sensing Theory, Ghost Imaging system, CS-GI-PAM, convex optimization program
相關次數： 點閱：9  下載：0 
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    • 中文摘要
    本研究利用計算式鬼影成像中的壓縮感知理論及鬼影成像系統，結合光聲顯微鏡架構，組建出光聲鬼影顯微成像架構。並利用碳纖維作為樣品還原其光聲影像來驗證光聲鬼影顯微成像系統。
    本實驗系統以1064 nm近紅外雷射光源，通過無聚焦系統放大光斑後投影在數位微鏡陣列上，以反射雷射光經過顯微鏡成像在物體表面上，接收產生的光聲訊號並透過壓縮感知理論的Dantzig selector演算法來還原物體的光聲影像。當中系統在Y方向上的點擴散函數半高全寬為3.35 um，X方向上半高全寬為2.78 um，成像系統可解析影像深度約3 um，還原範圍長約101.9 um和寬約64.39 um (共2880像素)，在取樣圖案數除基底總數0.22 (660次)，便能還原碳纖維的光聲影像，訊號區域平均訊號和非訊號區域平均訊號的比值在2.3以上，而其還原影像理想時間約38秒。

    Abstract
    This research is using the Compressive Sensing theory(CS theory) and Ghost Imaging system(GI system), combine with Photoacoustic microscopy system(PAM system) to build up as CS-GI-PAM system. Using the Carbon fiber as sample to reconstruct its Photoacoustic image to verify CS-GI-PAM system.
    In this study, the Pulse laser, which wavelength is 1064nm, through the afocal system to expend laser beam and project on digital micromirror device. Utilize DMD to reflect laser power distribution and image it on the sample surface, to generate photoacoustic signal and receive signal to resconstruct image. The system Y direction point spread function’s(PSF) full width at half maximum(FWHM) is 3.35 um, X direction PSF’s FWHM is 2.78 um, system imaging depth less than 3 um. The area of the image is 101.9 x 64.39 um(total pixel is 2880). The CS-GI-PAM system can use the fraction of total basis of sampling pattern ratio 0.23(660 pattern) to reconstruct the carbon fiber photoacoustic image and the signal part ratio can higher than 2.3, the rescontruct time costs about 38s.

    目錄 中文摘要 IV Abstract V 致謝 VI 目錄 VII 圖目錄 IX 表目錄 XIII 第一章 緒論 1 1-1 前言 1 1-2研究動機 4 1-3論文架構 5 第二章 理論背景 6 2-1 光聲效應原理及機制 6 2-1-1 熱膨脹光致聲波產生 7 2-2 掃描式光聲顯微鏡系統 10 2-3鬼影成像 12 2-3-1 鬼影成像背景及理論 12 2-3-2 壓縮感知 14 2-3-3 光聲鬼影成像系統及還原概念 17 2-4 訊號和影像處理 21 2-4-1 訊號訊雜比 21 2-4-2 訊號平均 22 2-4-3 還原影像平均訊號比 23 2-4-4 相關係數 24 第三章 光聲鬼影成像還原模擬 25 3-1 權重受量測錯誤影響的還原影像模擬 25 3-1-1 隨不同取樣圖案數的模擬影像還原 31 3-1-2 不同亂數圖案稀疏性之還原影像 37 3-1-3不同誤差影響下還原影像 40 第四章 光聲鬼影成像實驗架構及步驟 43 4-1 實驗架構及系統和設定 43 4-1-1 光學及聲學系統 43 4-1-2 電子及訊號系統 50 4-1-3 數位微鏡陣列設定及程序控制 52 4-1-4 壓縮感知還原影像程式設定 57 4-2 實驗樣品 58 4-2-1 碳纖維 58 4-3 實驗前置準備及步驟 60 4-3-1 實驗前置準備及說明 60 4-3-2 實驗操作步驟 62 第五章 實驗結果之分析與討論 64 5-1 碳纖維光聲鬼影成像實驗結果 64 5-1-1 不同取樣使用圖案數下的光聲鬼影成像還原 65 5-1-2 不同稀疏性亂數圖案分佈的光聲鬼影成像還原 69 5-1-3 還原交叉相疊的碳纖維影像解析成像系統景深 73 5-1-4 成像系統之PSFs 79 5-1-5 不同光強分佈(不同系統)的碳纖維還原數據 84 5-1-6 還原影像時間說明 86 第六章 結論與未來展望 88 6-1結論 88 6-2未來展望 90 參考文獻 91 附錄 94 附錄一 Matlab亂數圖案生成程式 94 附錄二 Labview控制程式 99 附錄三 Matlab還原影像程式 104 附錄四 Matlab模擬部份還原影像程式 112 附錄五 更高稀疏性還原影像 121 附錄六 樣品鋅金屬片 122 附錄七 鋅金屬邊緣光聲鬼影成像實驗結果 123 附錄八 還原人工皮底下碳纖維影像 127

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