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Multi-atlas propagation based left atrium segmentation coupled with super-voxel based pulmonary veins delineation in late gadolinium-enhanced cardiac MRI

机译:late增强心脏MRI中基于多图谱传播的左心房分割加上基于超体素的肺静脉轮廓

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摘要

Late Gadolinium-Enhanced Cardiac MRI (LGE CMRI) is a non-invasive technique, which has shown promise in detecting native and post-ablation atrial scarring. To visualize the scarring, a precise segmentation of the left atrium (LA) and pulmonary veins (PVs) anatomy is performed as a first step—usually from an ECG gated CMRI roadmap acquisition—and the enhanced scar regions from the LGE CMRI images are superimposed. The anatomy of the LA and PVs in particular is highly variable and manual segmentation is labor intensive and highly subjective. In this paper, we developed a multi-atlas propagation based whole heart segmentation (WHS) to delineate the LA and PVs from ECG gated CMRI roadmap scans. While this captures the anatomy of the atrium well, the PVs anatomy is less easily visualized. The process is therefore augmented by semi-automated manual strokes for PVs identification in the registered LGE CMRI data. This allows us to extract more accurate anatomy than the fully automated WHS. Both qualitative visualization and quantitative assessment with respect to manual segmented ground truth showed that our method is efficient and effective with an overall mean Dice score of 0.91.
机译:晚期Ga增强心脏MRI(LGE CMRI)是一种非侵入性技术,已显示出在检测天然和消融性心房瘢痕形成方面的前景。为了可视化瘢痕形成,第一步是对左心房(LA)和肺静脉(PVs)进行精确分割(通常是从ECG门控CMRI路线图获取),并叠加LGE CMRI图像中增强的疤痕区域。尤其是LA和PV的解剖结构变化很大,手动分割非常费力且主观性高。在本文中,我们开发了一种基于多图谱传播的全心分割(WHS),以通过ECG门控CMRI路线图扫描描绘LA和PV。虽然这可以很好地捕获心房的解剖结构,但PV的解剖结构却不容易看到。因此,通过在注册的LGE CMRI数据中进行PV识别的半自动手动笔划来增强该过程。这使我们可以提取比全自动WHS更准确的解剖结构。定性可视化和定量评估的人工分割地面真相都表明,我们的方法是有效和有效的,整体平均骰子得分为0.91。

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