透過您的圖書館登入
IP:18.117.182.179
  • 學位論文

多切面電腦斷層對主動脈剝離影像上損傷體積分析之探討

Evaluation of Multislice Computer Tomography Volumetric Analysis For Patients With Aortic Dissection

指導教授 : 徐良育
若您是本文的作者,可授權文章由華藝線上圖書館中協助推廣。

摘要


心血管疾病是國內十大死亡主因之一,長期是國人所關切的疾病。而主動脈剝離在心血管疾病中,是少見卻致死率很高的急症,因此縮短治療時間是非常重要的。本研究利用各種不同的影像分析技術,針對16切電腦斷層儀器所獲取的主動脈剝離影像進行處理,以電腦自動圈選技術來描繪出主動脈組織損傷區域,可取代手動圈選的費時耗力,希望能夠及早提供資訊,以便進行臨床診斷與治療。研究過程中,以專業醫生人工手動圈選之主動脈邊緣為標準,比較五種的演算法則(Roberts、Sobel、Laplacian、Marr-Hildreth以及Canny演算法)進行主動脈組織損傷區域描繪,而將標準圈選和五種邊緣檢測法與標準圈選相同(AND演算後)的區域進行T test計算,分別得到Roberts是0.704、Sobel是0.741、Laplacian是0.771、Marr-Hildreth是0.752以及Canny是0.811。各個演算法的平均錯誤率分別是Roberts是13.14%、Sobel是13.60%、Laplacian是12.75%、Marr-Hildreth是13.49%以及Canny是10.17%。數據統計顯示以Canny演算法結果與人工手動圈選主動脈邊緣的吻合度最高、錯誤率最低,是研究時可靠的檢測演算法。利用Canny演算法可以降低人為因素造成區域的差異又可以大大縮短病人治療計畫時間。最後,利用二維切面圈選的結果以及三維立體影像重建技術,能夠正確的顯示出損傷體積及損傷區域在主動脈組織中的相關位置,提供臨床醫生對主動脈剝離患者的診斷與治療的參考依據。

並列摘要


Cardiovascular disease is one of the main causes of death in Taiwan, people has concerned about cardiovascular disease for very long time. Aortic dissection is a rare and dangerous condition associated with high morbidity and mortality, it is very important to reduce the treatment time. This research takes advantage of all sorts of different image analysis techniques applies them to the aortic dissection images from computer tomography use computer to identify the tissue damage area automatically in order to replace manual segmentation. In this study, five different edge detection algorithms ( namely Roberts algorithm, Sobel algorithm, Laplacian algorithm, Marr-Hildreth algorithm and Canny algorithm ) have been applied as preprocessor for aortic dissection edge detection. The gold standard and the area obtained by five different edge detection algorithms are analyzed using T test. The results of T test for Roberts, Sobel, Laplacian, Marr-Hildreth and Canny are 0.704, 0.741, 0.771, 0.752 and 0.811, respectively. Average error rate of Roberts, Sobel, Laplacian, Marr-Hildreth and Canny are 13.14%, 13.60%, 12.75%, 13.49% and 10.17%, respectively. The results indicate that the Canny algorithm generates most comparable result with less error when it is compated with doctors’ manual depiction aortic dissection area. It is a reliable method during research. Using Canny algorithm can reduce error caused by human intervene and reduce the process time significantly. The processed two-dimensional sections can be reconstructed using three-dimensional image reconstruction technique to accurately display the damaged volume and damaged area in the aortic tissue. This information can provide valuable reference for aortic dissection consultation and treatment basis.

參考文獻


1. Hagan PG, Nienaber CA, Jsselbacher EM, “The intermational Registry of Acute Aortic Dissection(IRAD): new insights into an old disease,” JAMA 2000:283:897-903.
2. Meszaros I, Moroez J, Szlavi J, “Epidemiology and clinicopathology of aortic dissection,” Chest 2000: 117:1271-1278.
3. Khan IA, Nair CK, “Clinical, Diagnostic, and Management Perspectives of Aortic Dissection,” Chest 2002;122:311-328.
4. Cigarroa JE, Isselbacher EM, DeSantics RW, Eagle KA, “Diagnostic imaging in the evaluation of suspected aortic dissection : old standards and new direction.” N Engl J Med 1993;328:35-43.
5. Nienaber CA, Spielmanh RP. Von Kodlitscb Y. Diagnosis of thoracic aortic dissection : magnetic resonance imaging tranesophageal echocardiography. Circulation 1992;85: 434-447.

延伸閱讀