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首页> 外文期刊>Academic radiology >Accurate automatic papillary muscle identification for quantitative left ventricle mass measurements in cardiac magnetic resonance imaging.
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Accurate automatic papillary muscle identification for quantitative left ventricle mass measurements in cardiac magnetic resonance imaging.

机译：准确的自动乳头肌识别，可用于心脏磁共振成像中定量的左心室质量测量。

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RATIONALE AND OBJECTIVES: We sought to evaluate the automatic detection of the papillary muscle and to determine its influence on quantitative left ventricular (LV) mass assessment. MATERIALS AND METHODS: Twenty-eight Yorkshire-Landrace swine and 10 volunteers underwent cardiac magnetic resonance imaging (CMR) of the left ventricle. The variability in measurements of LV papillary muscles traced automatically and manually were compared to intra- and interobserver variabilities. CMR-derived LV mass with the papillary muscle included or excluded from LV mass measurements was compared to true mass at autopsy of the Yorkshire-Landrace swine. RESULTS: Automatic LV papillary muscle mass from all subjects correlated well with manually derived LV papillary muscle mass measurements (r = 0.84) with no significant bias between both measurements (mean difference +/- SD, 0.0 +/- 1.5 g; P = .98). The variability in results related to the contour detection method used was not statistically significant different compared to intra- and interobserver variabilities (P = .08 and P = .97, respectively). LV mass measurements including the papillary muscle showed significantly less underestimation (-10.6 +/- 7.1 g) with the lowest percentage variability (6%) compared to measurements excluding the papillary muscles (mean underestimation, -15.1 +/- 7.4 g percentage variability, 7%). CONCLUSION: The automatic algorithm for detecting the papillary muscle was accurate with variabilities comparable to intra- and interobserver variabilities. LV mass is determined most accurately when the papillary muscles are included in the LV mass measurements. Taken together, these observations warrant the inclusion of automatic contour detection of papillary muscle mass in studies that involve the determination of LV mass.
机译：理由和目的：我们试图评估乳头肌的自动检测，并确定其对定量左心室（LV）质量评估的影响。材料与方法：28只约克郡-兰德斯猪和10名志愿者接受了左心室的心脏磁共振成像（CMR）。将自动和手动追踪的左室乳头肌测量值的变异性与观察者内和观察者间的变异性进行比较。在约克夏-兰德斯猪的尸体解剖中，将CMR衍生的包括乳头肌或不包括在LV质量测量中的LV质量与真实质量进行比较。结果：所有受试者的自动LV乳头肌质量与人工获得的LV乳头肌质量测量值（r = 0.84）密切相关，两次测量之间无显着偏差（平均差+/- SD，0.0 +/- 1.5 g; P =。 98）。与观察者内和观察者间的差异相比，与使用的轮廓检测方法相关的结果的差异在统计学上没有显着差异（分别为P = 0.08和P = 0.97）。与不包括乳头肌的测量值（均值低估为-15.1 +/- 7.4 g百分比变化率）相比，包括乳头肌的LV质量测量结果显示低估率低得多（-10.6 +/- 7.1 g），变异率最低（6％）， 7％）。结论：自动检测乳头肌的算法是准确的，其变异性可与观察者内和观察者间的变异相媲美。当LV质量测量中包括乳头肌时，可以最准确地确定LV质量。综上所述，这些观察结果保证在涉及LV质量测定的研究中包括自动轮廓检测乳头肌质量。

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