An automatic image processing algorithm for initiating and terminating intracoronary OFDI pullback.
An automatic image processing algorithm for initiating and terminating intracoronary
OFDI pullback.
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DOI：
10.1364/boe.1.000566
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发表时间：
2010-08-10
影响因子：
3.4
通讯作者：
Tearney GJ
中科院分区：
文献类型：
--
作者：
Hariri LP;Bouma BE;Waxman S;Shishkov M;Vakoc BJ;Suter MJ;Freilich MI;Oh WY;Rosenberg M;Tearney GJ
冠状动脉内光学频域成像（OFDI）提供冠状动脉微观结构的高分辨率三维视图，但需要非闭塞性盐水/造影剂清除血液以获得清晰的动脉视图。最近的研究采用基于实时图像观察的手动回拉启动/终止。通过实时对外直接投资信号分析自动回拉启动/终止将使数据采集更有效。我们评估了使用简单的成像参数来自动和可靠地区分诊断质量的清晰动脉壁（CAW）和血阻区（BOF）。算法使用冠状动脉内OCT人类数据进行回顾性测试，冠状动脉内OFDI猪和人类数据进行前瞻性测试。在OFDI猪数据的前瞻性分析中，第二矩和第一矩之比（对比参数）的敏感性和特异性分别为99.6%和97.2%。在OFDI临床资料的前瞻性分析中，对比参数的敏感性为96.0%，特异性为94.5%。通过分析序列帧进一步提高了精度。这些结果表明，该算法可用于冠状动脉内OFDI启动和终止自动回拉和数字数据记录。
Intracoronary optical frequency domain imaging (OFDI) provides high resolution, three-dimensional views of coronary artery microstructure, but requires a non-occlusive saline/contrast purge to displace blood for clear artery views. Recent studies utilized manual pullback initiation/termination based on real-time image observation. Automated pullback initiation/termination by real-time OFDI signal analysis would enable more efficient data acquisition. We evaluate the use of simple imaging parameters to automatically and robustly differentiate between diagnostic-quality clear artery wall (CAW) versus blood-obstructed fields (BOF). Algorithms are tested using intracoronary OCT human data retrospectively and intracoronary OFDI swine and human data prospectively. In prospective analysis of OFDI swine data, the sensitivity and specificity of the ratio of second and first moments (contrast parameter) were 99.6% and 97.2%, respectively. In prospective analysis of OFDI clinical data, the contrast parameter yielded 96.0% sensitivity and 94.5% specificity. Accuracy improved further by analyzing sequential frames. These results indicate the algorithm may be utilized with intracoronary OFDI for initiating and terminating automated pullback and digital data recording.