HVSMR-2.0 (cropped_norm)

<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的3D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常与正常个体存在显著差异，往往需要接受多次心脏手术。术前心血管磁共振（CMR）扫描的图像分割可构建个体化的心脏三维表面模型，有望优化手术规划、实现手术模拟，并自动计算心脏功能的量化指标。然而，目前尚无面向先天性心脏病患者的公开全心分割CMR数据集。 在此，我们发布HVSMR-2.0数据集，包含60例CMR扫描数据，以及对应4个心腔和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史病例。此外，数据集还提供了大血管的必需与可选分割范围掩码，可实现不同算法间更公平的性能对比。同时，每例受试者的详细诊断信息也一并公开。我们发布HVSMR-2.0数据集，旨在推动适用于先天性心脏病的鲁棒分割算法与临床相关工具的研发。 <i>cropped_norm</i>：经图像归一化处理后的手动裁剪CMR图像文件<i>pat#_cropped_norm.nii.gz</i>，以及对应的全心分割掩码文件<i>pat#_cropped_seg.nii.gz</i>与端点文件<i>pat#_cropped_seg_endpoints.nii.gz</i>.<br>