首页> 外文会议>Image Processing pt.2; Progress in Biomedical Optics and Imaging; vol.7 no.30 >Fully automatic segmentation of left ventricular myocardium in real-time three-dimensional echocardiography
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Fully automatic segmentation of left ventricular myocardium in real-time three-dimensional echocardiography

机译:实时三维超声心动图全自动分割左心室心肌

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Purpose: We report a deformable model (DM)-based fully automatic segmentation of the left ventricular (LV) myocardium (endocardium + epicardium) in real-time three-dimensional (3D) echocardiography. Methods: Initialization of the DM is performed through automated mutual information-based registration of the image to be segmented with a 3D template (image + corresponding endo-epicardial wiremesh). The initialized endocardial and epicardial wiremesh templates are then simultaneously refined iteratively under the joint influence of mesh-derived internal forces, image-derived external (gradient vector flow-based) forces, and endo-epicardium mesh-interaction forces. Incorporation of adaptive mesh-interaction forces into the DM refinement, a novelty of the current work, ensures appropriate relative endo-epicardial orientation during simultaneous refinement. Repeating for the entire cardiac sequence provides the segmented myocardium for all phases. Preliminary comparison is presented between automatic and expert-defined myocardial segmentation for five subjects imaged in clinical settings using a Philips SONOS 7500 scanner. Results: Root mean square (rms) radial distance error between the algorithm-determined and expert-traced endocardial and epicardial contours in six predetermined planar views was 3.86 ± 0.72 mm and 4.0 ± 0.63 mm in end-diastole, 3.9 ± 0.51 mm and 4.04 ± 0.65 mm in systole, respectively. Mean absolute error between average myocardial thickness calculated using automatic and expert-defined contours was 1.64 ± 0.56 mm (apical), 1.3 ± 0.58 mm (mid) and 1.46 ± 0.45 mm (basal). The absolute difference in ejection fraction calculated using our algorithm and by the expert using the TomTec software was 7.2 ± 0.84 %. Conclusion: We demonstrate successful segmentation of LV myocardium, which allows clinically important LV structure and function (e.g. wall thickness, LV volume and ejection fraction) to be tracked over the entire cardiac cycle.
机译:目的:我们报告实时三维(3D)超声心动图中基于可变形模型(DM)的左心室(LV)心肌(心内膜+心外膜)的全自动分割。方法:DM的初始化是通过自动基于互信息的图像配准(使用3D模板(图像+相应的心外膜心内膜网片)进行分割)进行的。然后,在网格派生的内力,图像派生的外力(基于梯度矢量流)和心内膜上膜网状相互作用力的共同影响下,同时迭代地初始化初始化的心内膜和心外膜网状模板。将自适应网格交互作用力合并到DM精修中,这是当前工作的新颖之处,可确保在同时精修期间适当的相对心外膜心动方向。重复整个心脏序列可为所有阶段提供分段的心肌。使用飞利浦SONOS 7500扫描仪对在临床环境中成像的五个对象进行了自动和专家定义的心肌分割之间的初步比较。结果:在六个预定的平面图中,算法确定的和专家追踪的心内膜和心外膜轮廓之间的均方根(rms)径向距离误差在舒张末期分别为3.86±0.72 mm和4.0±0.63 mm,3.9±0.51 mm和4.04收缩期分别为±0.65 mm。使用自动轮廓线和专家定义的轮廓线计算出的平均心肌厚度之间的平均绝对误差为1.64±0.56 mm(顶端),1.3±0.58 mm(中间)和1.46±0.45 mm(基础)。使用我们的算法和专家使用TomTec软件计算的喷射分数的绝对差为7.2±0.84%。结论:我们证明了成功的LV心肌分割,可以在整个心动周期中追踪临床上重要的LV结构和功能(例如壁厚,LV体积和射血分数)。

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