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Cascaded Framework with Complementary CMR Information for Myocardial Pathology Segmentation

机译:具有互补CMR信息的级联框架,用于心肌病理分割

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Myocardial pathology segmentation in cardiac magnetic resonance (CMR) is an important step for patients suffering from myocardial infarction. In this paper, we present a cascaded framework with complementary information for infarcted and edema regions segmentation in CMR sequences. Specifically, instead of using all the three CMR sequences as joint inputs, we first use a 2D U-Net with balanced-Steady State Free Precession (bSSFP) cine sequence to segment the whole heart (left ventricle and myocardium) because bSSFP can capture cardiac motions and present clear boundaries. Then, we crop the whole heart as a region of interest (ROI). Finally, we segment the scar and edema regions in the late gadolinium enhancement (LGE) and T2 CMR sequence ROI. We evaluate the proposed method on MICCAI 2020 MyoPS testing set and achieve Dice scores 0.6283 ± 0.2772 for scar and 0.5419 ±0.2406 for the combination of edema and scar, which is better than the inter-observer variation of manual scar segmentation (0.5243 ± 0.1578).
机译:心肌磁共振(CMR)中的心肌病理分割是患有心肌梗死的患者的重要步骤。在本文中,我们提出了一种级联框架,其具有CMR序列中梗死和水肿区域分段的互补信息。具体而言,不是使用所有三个CMR序列作为关节输入,首先使用2D U-Net,具有平衡稳态的自由进样(BSSFP)Cine序列,以分割全心脏(左心室和心肌),因为BSSFP可以捕获心脏动议和现有明确的边界。然后,我们将整个心脏作为兴趣区域作物(ROI)。最后,我们在晚钆增强(LGE)和T2 CMR序列ROI中分段瘢痕和水肿区域。我们评估Miccai 2020 Myops测试集的提出方法,为水肿和瘢痕组合的瘢痕和0.5419±0.2406的骰子分数为0.6283±0.2406,这比手工瘢痕分割的观察者间变化更好(0.5243±0.1578) 。

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