自動化肺栓塞偵測系統

肺動脈栓塞(Pulmonary Embolism, PE)是一種肺動脈或其細支血管被栓子堵住的現象。通常是由靜脈中的血栓隨著血液的流動而到了肺動脈中，並且阻塞了肺動脈。傳統的偵測都必須藉重醫師們的專業知識，肺栓塞嚴重的時候會導致病人的死亡，因此在診斷肺栓塞的部份是相當重要的一個環節。本論文使用CT血管攝影(Computed Tomography Angiography, CTA)影像來做偵測，首先我們先使用ACM的方法將前處理影像中肺部的位置擷取出來，並且針對肺部的血管影像進行搜尋與追蹤的動作，同時利用栓塞所俱有的特徵去偵測肺動脈或其細支血管中是否有栓塞。最後，我們使用的樣板比對（Template matching）的方法將醫師所圈選出來的結果和我們所提出方法的結果進行比對，以此法來計算我們方法的準確率。實驗結果顯示系統的偵測成功率可達81%，同時系統能提供肺栓塞的位置資訊給醫師，做為輔助醫師診斷時的依據，同時也減輕醫師的負擔。

Pulmonary embolism (PE) is a blockage of the pulmonary artery or one of its branches, usually occurring when a deep vein thrombus (blood clot from a vein) becomes dislodged from its site of formation and travels, or embolisms, to the arterial blood supply of one of the lungs. This process is termed embolism. Most of the traditional detection of PE needs to rely on the professional judgments of physicians. With advances in CT technology, faster scanning and greatly enhanced the quality of image improve the diagnostic accuracy. Serious PE will lead to dead. However, it is very important for diagnosis PE. First, we use ACM method to find the lung area of the preprocessed image. And then we perform vessel searching and tracking to detect the pulmonary embolism in lung. Finally, we use the template matching method to do comparison between compare the result of system and doctor’s and obtain the precision rate. The system shows the result to help doctors checking the position of the embolism and release their work loads.