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Semi-Automated Quantification of Left Ventricular Volumes and Mass from Cardiac Magnetic Resonance Images by Level Set Models

机译:左心室体积的半自动量化和通过水平设定模型的心脏磁共振图像的质量

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Cardiac magnetic resonance imaging (CMRI) is the standard for estimates of LV volumes, ejection fraction and mass. These computations are based on extensive manual tracing of endocardial and epicardial borders and are subjective and time-consuming. We developed a new technique for semi-automated surface detection for the measurement of LV end-systolic and end-diastolic volumes, ejection fraction and mass from CMRI data. This procedure is performed in the 3D domain, and does not rely on geometrical approximations. Twenty-two consecutive patients referred for CMRI were studied. Measurements were compared with the values derived by manual tracing using linear regression and Bland-Altman analyses. For both volumes, ejection fraction and mass, the analysis resulted in high correlation coefficients and depicted no significant biases and narrow limits of agreement. The proposed technique is fast and objective and provides accurate measurements of LV volumes, ejection fraction and mass.
机译:心脏磁共振成像(CMRI)是LV体积,喷射分数和质量估计的标准。这些计算基于心外膜和心外膜边界的广泛手动跟踪,是主观和耗时的。我们开发了一种新的半自动表面检测技术,用于测量LV端收缩量和末端 - 舒张压体积,喷射分数和CMRI数据的质量。该过程在3D域中执行,并且不依赖于几何近似。研究了二十两名CMRI的连续患者。将测量与使用线性回归和Bland-Altman分析进行的手动跟踪导出的值进行比较。对于两种体积,喷射分数和质量,分析导致高相关系数,并且没有显着的偏见和狭窄的协议限制。所提出的技术快速且客观,并提供了LV体积,喷射分数和质量的精确测量。

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