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电影磁共振成像中左心室分割的准确性及其对收缩功能值的影响。

The exactness of left ventricular segmentation in cine magnetic resonance imaging and its impact on systolic function values.

作者信息

Barbier C Ebeling, Johansson L, Lind L, Ahlström H, Bjerner T

机构信息

Department of Radiology, Uppsala University Hospital, Uppsala, Sweden.

出版信息

Acta Radiol. 2007 Apr;48(3):285-91. doi: 10.1080/02841850601182154.

Abstract

PURPOSE

To evaluate the impact of exactness of the segmentation of the left ventricle (LV), using cine magnetic resonance imaging (MRI).

MATERIAL AND METHODS

Steady-state free-precession cine MRI was performed on 100 randomly selected subjects. Myocardial borders were outlined on short-axis images using three methods: method 1 was computer assisted, excluding papillary muscles from the left ventricular mass (LVM); method 2 was similar but included papillary muscles; and method 3 was manually traced including papillary muscles. LV end-systolic (ES) and end-diastolic (ED) masses and volumes, ejection fraction (EF), stroke volume (SV), and cardiac output (CO) were calculated from these measurements. The difference between the ES and ED LVM was used to estimate the exactness of the methods.

RESULTS

Method 3 was the most exact, and method 1 was the least exact. The three methods generated differing EF, SV, and CO measurements. With an ES-ED LVM difference exceeding 20 g, the mean SV measurement error was 8.8+/-3.6 ml.

CONCLUSION

Manual tracing proved more exact than computer-assisted quantification. Exactness had an impact on EF, SV, and CO measurements, and the ES-ED LVM difference can be used to identify assessments that would benefit from more exact segmentation.

摘要

目的

使用电影磁共振成像(MRI)评估左心室(LV)分割准确性的影响。

材料与方法

对100名随机选取的受试者进行稳态自由进动电影MRI检查。使用三种方法在短轴图像上勾勒心肌边界:方法1是计算机辅助,将乳头肌排除在左心室质量(LVM)之外;方法2类似,但包括乳头肌;方法3是手动追踪包括乳头肌。根据这些测量值计算左心室收缩末期(ES)和舒张末期(ED)的质量、容积、射血分数(EF)、每搏输出量(SV)和心输出量(CO)。ES和ED LVM之间的差异用于评估这些方法的准确性。

结果

方法3最准确,方法1最不准确。三种方法得出的EF、SV和CO测量值不同。当ES - ED LVM差异超过20 g时,平均SV测量误差为8.8±3.6 ml。

结论

手动追踪比计算机辅助定量更准确。准确性对EF、SV和CO测量有影响,ES - ED LVM差异可用于识别那些将受益于更精确分割的评估。

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