HVSMR-2.0 (orig)

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.orig: CMR images pat#_orig.nii.gz manually cropped at the chin, with original spacing and no normalization, with corresponding whole-heart segmentations pat#_orig_seg.nii.gz and endpoints files pat#_orig_seg_endpoints.nii.gz.

HVSMR-2.0：用于先天性心脏病（congenital heart disease）患者全心脏分割的三维心血管磁共振（CMR）数据集。
先天性心脏病患者的心脏解剖结构往往与正常人体存在显著差异，常需接受多次心脏手术。术前心血管磁共振（CMR）扫描图像的分割工作，可用于构建针对患者个体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，并实现心脏功能量化指标的自动计算。然而，目前尚无面向先天性心脏病患者全心脏分割任务的公开CMR数据集。
在此背景下，我们本次发布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（great vessels）的手动分割掩码（segmentation masks）。该数据集涵盖多种心脏畸形与既往手术干预案例，此外还包含大血管的必填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，每份受试者样本均附带详细诊断信息。我们发布HVSMR-2.0数据集的初衷，是推动适用于先天性心脏病的高鲁棒性分割算法与临床相关工具的研发。
原始数据说明：CMR图像文件命名格式为pat#_orig.nii.gz，该图像已在下巴区域完成手动裁剪，保留原始体素间距且未进行归一化处理；对应的全心脏分割掩码文件为pat#_orig_seg.nii.gz，端点文件为pat#_orig_seg_endpoints.nii.gz。

搜集汇总

背景与挑战

背景概述

HVSMR-2.0 (orig)是一个包含60个3D心血管MR扫描和手动分割掩码的数据集，专门用于先天性心脏病的全心脏分割研究。数据集提供了详细的病例诊断信息，旨在支持开发更稳健的分割算法和临床工具。