甲襞微血管影像之血流速量測分析

Capillary Blood Flow Measurement Based on Nailfold Microscopic Images

陳雪惠(Hsuen-Hui Chen)

指導教授 ： 林康平

中原大學/工學院/電機工程研究所/碩士(2002年)

https://doi.org/10.6840/cycu200200116

摘要

近年來微循環顯微影像之研究應用於臨床診斷時，可以利用不同之微循環觀測指標所獲得之權值，以顯示身體部位的組織結構或生理變化。其中血流速度是反映微循環狀態好壞的一個重要指標，而這個生理訊息在醫療診療上具有相當重要的意義。
因甲襞微血管動態顯微影像易受到各種因子干擾，常會導致影像有晃動現象及影像本身品質不佳等問題。因此在量測血流速度之前，必須先進行動態顯微影像對位處理、動態顯微影像血管輪廓的標定和影像增強等修正。此外，本論文主要目的在以Motion Estimation 演算法，快速地自動計算沿微血管中心線上逐點的血流速度分佈，它是一個便捷，又能讓觀察者對血流速結果一目瞭然的實用分析方法。本論文分別以圖片位移法、紅血球移動法及雙窗標定法等不同方法之分析果加以相互驗證。
在量測者之血流結果方面，對於健康狀態良好且外形正常之甲襞微血管影像，以本論文所完成之分析方法，深入地探討微血管內速度之詳細變化，會呈現兩個高斯分佈之常態現象，經簡易歸納後，可獲得部分顯著的血流分析特性參數，這些參數若能深入探究，對找出微循環之生理與病理的關聯性，以及提供醫學臨床上早期診斷，更可提供許多臨床應用與發展。

關鍵字

微循環 ； 血流速度 ； 甲襞 ； Motion Estimation

並列摘要

Microscopic video images of microcirculation have been used in clinical diagnosis for years, and the parameters obtained from images reveal most physiological activities and body organizations. Particularly, the blood flow speed is one of important indexes, which reflects the state of microcirculation and means very much in diagnosis.
Because the microscopic video images of microcirculation from finger nailfold are easily influenced by some external factors such as trembling which incurs an inferior image and other problems, dynamic microscopic video images matching, edge detection of blood vessel, and enhancement must be done when measuring blood flow speed. In addition,the main purpose of this paper is using Motion Estimation algorithm to quickly and automatically calculate the blood flow speed distribution point by point along the middle line of blood vessel. This is a practicable method for analysis not only convenient but also easy to read the results for the observant. Moreover, this paper also introduces picture shifting, red blood cell motion, and double windows marking to analyze and to confirm the results.
In the resultant micro blood vessel images of the blood flow measured for a testee of healthy condition and normal finger nalfold appearance, the detail activities of micro blood vessel are deeply discussed by virtue of the algorithm proposed in the paper, which will show two Gaussian distributions. Simplifying the results can acquire some obvious characteristic parameters of blood flow analysis. If these parameters are explored further more, the relationship between physiological and pathological microcirculation can found, and which can provide clinical medicine diagnosis in advance and more for applications and future
development.

並列關鍵字

Motion Estimation ； Blood Flow Speed ； Microcirculation ； Nailfold

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