HVSMR-2.0 (cropped)

HVSMR-2.0: A 3D cardiovascular MR dataset for whole-heart segmentation in congenital heart diseasePatients 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.cropped: Manually cropped CMR images pat#_cropped.nii.gz, without image normalization, with corresponding whole-heart segmentations pat#_cropped_seg.nii.gz and endpoints files pat#_cropped_seg_endpoints.nii.gz.HVSMR-2.0：面向先天性心脏病全心分割的三维心血管磁共振数据集。先天性心脏病患者的心脏解剖结构往往与正常个体存在显著差异，常需接受多次心脏手术。对术前心血管磁共振（cardiovascular magnetic resonance, CMR）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，有望优化手术规划、支持手术模拟，并自动计算心脏功能的定量指标。然而，目前尚无面向先天性心脏病患者的公开可用全心分割CMR数据集。本研究发布HVSMR-2.0数据集，包含60例CMR扫描图像，以及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类型与既往手术干预史。此外，数据集还包含大血管的必选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，每份受试者的详细诊断信息也已同步公开。我们发布HVSMR-2.0数据集，旨在推动针对先天性心脏病的鲁棒分割算法与临床相关工具的研发。裁剪子集：手动裁剪的CMR图像（命名格式为pat#_cropped.nii.gz），未经过图像归一化处理，配套包含全心分割掩码pat#_cropped_seg.nii.gz与端点文件pat#_cropped_seg_endpoints.nii.gz。