本文選題：冠狀動脈 + 中心線��； 參考：《計算機工程與設(shè)計》2017年10期

【摘要】：為提高術(shù)前對冠狀動脈病變部分狹窄程度測量的準(zhǔn)確度,提出一種運用定積分測量冠狀動脈狹窄程度的方法。通過視覺化工具函式庫(VTK)和美國國家衛(wèi)生院下屬國立圖書館開發(fā)的醫(yī)學(xué)圖像分割與配準(zhǔn)算法研發(fā)平臺(ITK)對目標(biāo)血管進行三維重建;運用一種基于跟蹤點的冠狀動脈中心線提取算法,提取目標(biāo)血管的中心線;從重建的血管三維模型的水平面入手,對水平面圖像,以中心線為原點建立直角坐標(biāo)系,把圖像分割到4個象限中去,在每個象限里運用定積分定義求出血管內(nèi)血流區(qū)域與坐標(biāo)系所圍成的圖形面積;通過內(nèi)、外面積差與血管冠狀截面面積的比值得到血管的狹窄度。臨床數(shù)據(jù)實驗結(jié)果表明,該算法具有良好的有效性和準(zhǔn)確性,有助于冠心病的早期發(fā)現(xiàn)、診斷和治療,給臨床診斷和術(shù)前規(guī)劃提供了有效的依據(jù),提高了冠心病患者的生存機率和生活質(zhì)量。
[Abstract]:In order to improve the accuracy of preoperative measurement of the degree of coronary artery stenosis, a new method was proposed to measure the degree of coronary artery stenosis with definite score. Three dimensional reconstruction of target blood vessels was carried out by visual tool library (VTK) and the medical image segmentation and registration algorithm development platform developed by the National Library of the National Institutes of Health of the United States. Using an algorithm of coronary artery centerline extraction based on tracking point, extracting the center line of target vessel, starting with the horizontal plane of the reconstructed three-dimensional model of blood vessel, establishing the right-angle coordinate system for the horizontal plane image with the center line as the origin. The image is segmented into four quadrants, and the area of blood flow in each quadrant is calculated by the definition of definite integral, and the degree of vessel stenosis is obtained by the ratio of internal and external area difference to the area of coronary section of blood vessel. The experimental results of clinical data show that the algorithm is effective and accurate, which is helpful to the early detection, diagnosis and treatment of coronary heart disease, and provides an effective basis for clinical diagnosis and preoperative planning. The survival rate and quality of life of patients with coronary heart disease were improved.
【作者單位】： 上海大學(xué)計算機工程與科學(xué)學(xué)院;上海交通大學(xué)醫(yī)學(xué)院附屬瑞金醫(yī)院計算機中心;
【基金】：2015年度上海大學(xué)電影學(xué)高峰學(xué)科項目成果基金項目(n.13-a303-15-w23) 上海市信息化發(fā)展專項資金基金項目(201403014)
【分類號】：R543.3;TP391.41
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本文編號：1783020