Molloi S Y, Ersahin A, Roeck W W, Nalcioglu O
Department of Radiological Sciences, University of California, Irvine 92717.
Invest Radiol. 1991 Feb;26(2):119-27. doi: 10.1097/00004424-199102000-00005.
Recent studies have emphasized the limitations of conventional coronary angiography. These limitations include the lack of correlation between the severity of coronary stenosis as estimated from coronary angiograms and the actual severity of stenotic lesions measured in postmortem hearts. As a result, attempts have been made to quantitate luminal dimension more precisely. The application of quantitative digital subtraction angiography (DSA) in the assessment of coronary artery lesion dimension has been limited by cardiac and respiratory motion artifacts. We have reported previously on a motion-immune dual-energy (DE) cardiac mode in which kVp and filtration are switched at 30 Hz. To assess the potential advantages of a videodensitometric technique for quantification of absolute vessel cross-sectional area (CSA), three different quantitative coronary arteriography (QCA) algorithms were compared. The three algorithms under comparison were a videodensitometric (V) algorithm, which does not require any geometric assumption for absolute vessel CSA measurement, and videodensitometric (VC) and edge detection (ED) algorithms, which do require the assumption of circular cross-section for CSA measurements. A cylindrical vessel phantom (0.5-4.75 mm in diameter) and a crescentic vessel phantom, producing 25% to 90% area stenosis, were imaged over the chest of a humanoid phantom. The low- and high-energy images were corrected for scatter and veiling glare before energy subtraction. For CSA measurements in crescentic vessel phantoms, the V algorithm produced significantly improved results (slope = 0.87, intercept = 0.51 mm2, r = .95) when compared to the VC (slope = 1.05, intercept = 4.19 mm2, r = .75) and the ED (slope = 1.57, intercept = 5.21 mm2, r = .60) algorithms.
近期研究强调了传统冠状动脉造影的局限性。这些局限性包括,根据冠状动脉造影估计的冠状动脉狭窄严重程度与在尸检心脏中测量的狭窄病变实际严重程度之间缺乏相关性。因此,人们试图更精确地量化管腔尺寸。定量数字减影血管造影(DSA)在评估冠状动脉病变尺寸方面的应用受到心脏和呼吸运动伪影的限制。我们之前报道过一种运动免疫双能(DE)心脏模式,其中千伏峰值(kVp)和滤过在30赫兹时切换。为了评估视频密度测定技术在量化绝对血管横截面积(CSA)方面的潜在优势,比较了三种不同的定量冠状动脉造影(QCA)算法。所比较的三种算法分别是一种视频密度测定(V)算法,其在测量绝对血管CSA时不需要任何几何假设;以及视频密度测定(VC)算法和边缘检测(ED)算法,这两种算法在测量CSA时确实需要假设血管横截面为圆形。一个直径为0.5 - 4.75毫米的圆柱形血管模型和一个产生25%至90%面积狭窄的新月形血管模型在一个类人模型胸部进行成像。在能量相减之前,对低能和高能图像进行散射和蒙片眩光校正。对于新月形血管模型中的CSA测量,与VC算法(斜率 = 1.05,截距 = 4.19平方毫米,r = 0.75)和ED算法(斜率 = 1.57,截距 = 5.21平方毫米,r = 0.60)相比,V算法产生了显著更好的结果(斜率 = 0.87,截距 = 0.51平方毫米,r = 0.95)。