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HVSMR-2.0 (cropped)

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DataCite Commons2025-06-01 更新2024-08-19 收录
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https://figshare.com/articles/dataset/HVSMR-2_0_cropped_/25226366/2
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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</i>: Manually cropped CMR images <i>pat#_cropped.nii.gz</i>, without 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>.

<b>HVSMR-2.0:用于先天性心脏病全心分割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通常与正常个体存在显著差异,往往需要接受多次心脏手术。通过术前心血管磁共振(Cardiovascular Magnetic Resonance, CMR)扫描进行图像分割,能够构建患者专属的心脏三维表面模型,该模型有望优化手术规划、支持手术模拟,并实现心脏功能定量指标的自动化计算。然而,目前尚无公开可用的针对先天性心脏病患者的全心分割CMR数据集。 本研究发布HVSMR-2.0数据集,包含60例CMR扫描数据,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损与既往手术干预案例,同时还提供了大血管的必要分割范围与可选分割范围掩码,便于不同算法间开展更公平的性能对比。此外,数据集还包含每位受试者的详细诊断信息。我们发布HVSMR-2.0数据集的初衷,是推动针对先天性心脏病的高鲁棒性分割算法与临床相关工具的开发。 <i>裁剪样本</i>:经手动裁剪的CMR图像<i>pat#_cropped.nii.gz</i>,未经过图像归一化处理,配套文件包括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>.
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figshare
创建时间:
2024-02-15
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