首页> 外文会议>MICCAI 2011;International conference on medical image computing and computer-assisted intervention >Myocardial Segmentation of Late Gadolinium Enhanced MR Images by Propagation of Contours from Cine MR Images
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Myocardial Segmentation of Late Gadolinium Enhanced MR Images by Propagation of Contours from Cine MR Images

机译:从C MR图像的轮廓传播,对晚期Ga增强的MR图像进行心肌分割

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Automatic segmentation of myocardium in Late Gadolinium Enhanced (LGE) Cardiac MR (CMR) images is often difficult due to the intensity heterogeneity resulting from accumulation of contrast agent in infarcted areas. In this paper, we propose an automatic segmentation framework that fully utilizes shared information between corresponding cine and LGE images of a same patient. Given myocardial contours in cine CMR images, the proposed framework achieves accurate segmentation of LGE CMR images in a coarse-to-fine manner. Affine registration is first performed between the corresponding cine and LGE image pair, followed by nonrigid registration, and finally local deformation of myocardial contours driven by forces derived from local features of the LGE image. Experimental results on real patient data with expert outlined ground truth show that the proposed framework can generate accurate and reliable results for myocardial segmentation of LGE CMR images.
机译:由于梗塞区造影剂积聚导致强度不均,通常难以在晚期Ga增强(LGE)心脏MR(CMR)图像中进行心肌的自动分割。在本文中,我们提出了一种自动分割框架,该框架可以充分利用同一患者的相应电影和LGE图像之间的共享信息。给定电影CMR图像中的心肌轮廓,提出的框架以粗到精的方式实现了LGE CMR图像的精确分割。首先在对应的电影和LGE图像对之间执行仿射配准,然后进行非刚性配准,最后是由LGE图像局部特征衍生的力驱动的心肌轮廓局部变形。用专家概述的地面真实情况对真实患者数据进行的实验结果表明,所提出的框架可以为LGE CMR图像的心肌分割产生准确而可靠的结果。

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