HVSMR-2.0 (cropped_norm)
收藏DataCite Commons2024-05-13 更新2024-08-19 收录
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https://figshare.com/articles/dataset/HVSMR-2_0_cropped_norm_/25226363/1
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<b>HVSMR-2.0: A 3D cardiovascular MR dataset for whole-heart segmentation in congenital heart disease</b>Patients with congenital heart disease often have cardiac anatomy that deviates significantly from normal, frequently requiring multiple heart surgeries. Image segmentation from a preoperative cardiovascular magnetic resonance (CMR) scan would enable creation of patient-specific 3D surface models of the heart, which have potential to improve surgical planning, enable surgical simulation, and allow automatic computation of quantitative metrics of heart function. However, there is no publicly available CMR dataset for whole-heart segmentation in patients with congenital heart disease. Here, we release the HVSMR-2.0 dataset, comprising 60 CMR scans alongside manual segmentation masks of the 4 cardiac chambers and 4 great vessels. The images showcase a wide range of heart defects and prior surgical interventions. The dataset also includes masks of required and optional extents of the great vessels, enabling fairer comparisons across algorithms. Detailed diagnoses for each subject are also provided. By releasing HVSMR-2.0, we aim to encourage development of robust segmentation algorithms and clinically relevant tools for congenital heart disease.<i>cropped_norm</i>: Manually cropped CMR images <i>pat#_cropped_norm.nii.gz</i> after image normalization, with corresponding whole-heart segmentations <i>pat#_cropped_seg.nii.gz</i> and endpoints files <i>pat#_cropped_seg_endpoints.nii.gz</i>.<br>
<b>HVSMR-2.0:用于先天性心脏病全心分割(whole-heart segmentation)的三维心血管磁共振数据集</b>
先天性心脏病患者的心脏解剖结构往往与正常人存在显著差异,通常需要接受多次心脏手术。对术前心血管磁共振(CMR,cardiovascular magnetic resonance)扫描图像进行分割,可构建患者特异性的心脏三维表面模型,有望改善手术规划、支持手术模拟,并实现心脏功能定量指标的自动计算。然而目前尚无公开可用的、面向先天性心脏病患者的全心分割CMR数据集。在此,我们发布HVSMR-2.0数据集,该数据集包含60例CMR扫描图像,以及对应4个心腔与4条大血管的手动分割掩码。该数据集涵盖了多种心脏缺陷与既往手术干预案例。此外,数据集还提供了大血管的必需和可选分割范围掩码,可实现不同算法间更公平的性能对比。同时,每个受试者的详细诊断信息也已一并提供。我们发布HVSMR-2.0数据集的目标,是推动先天性心脏病领域鲁棒性分割算法与临床相关工具的开发。
<i>cropped_norm</i>:经图像归一化处理后的手动裁剪CMR图像<i>pat#_cropped_norm.nii.gz</i>,以及对应的全心分割掩码<i>pat#_cropped_seg.nii.gz</i>与端点文件<i>pat#_cropped_seg_endpoints.nii.gz</i>。<br>
提供机构:
figshare
创建时间:
2024-02-15



