4DCT XCAT phantom dataset for "Resolving Variable Respiratory Motion From Unsorted 4D Computed Tomography", MICCAI2024

The XCAT phantom dataset used in our paper "Resolving Variable Respiratory Motion From Unsorted 4D Computed Tomography", MICCAI 2024. For details on how to use the dataset, please visit https://github.com/Yuliang-Huang/4DCT-irregular-motion. If you find this dataset useful for your research, please cite our MICCAI paper.Note: We thank Prof Paul Segars from Duke University for the permission of releasing this single simulation example. If you want to use the XCAT software, please contact him.Introduction to the dataset:A digital phantom of thoracic region with motion was generated by the 4DXCAT software [1] and post-processed by the cid-X software [2]. The simulation was controlled by two respiration traces, i.e. the motion of the chest and the diaphragm, which were measured from 2D Cine MRI from a real patient. The diaphragm trace was deliberately delayed by 1 second to add hysteresis, i.e. the breathing would follow different paths during inhalation and exhalation. The chest trace could simulate the skin marker or belt signals normally used to sort 4DCT data in clinical practice and was stored in the rpm_signal.txt file.The phantom dataset consisted of images of thoracic regions at 182 timepoints in NIFTI format, each with size 355x280x115 voxels and resolution of 1x1x3 mm. Binary masks of the tumour were also provided for each timepoint. The dynamic volumes and tumor masks can be found in the compressed ground_truth.zip folder.The ref_empty_image.nii.gz file is an image with zero voxel values that define the reference image space. The ref_tumor_mask.nii.gz is the ground-truth tumor mask at the time average position.References:[1]Segars, W.P., Sturgeon, G., Mendonca, S., Grimes, J., Tsui, B.M.: 4d xcat phantomfor multimodality imaging research. Medical physics 37(9), 4902–4915 (2010)[2]Eiben, B., Bertholet, J., Menten, M.J., Nill, S., Oelfke, U., McClelland, J.R.: Con-sistent and invertible deformation vector fields for a breathing anthropomorphicphantom: a post-processing framework for the xcat phantom. Physics in Medicine& Biology 65(16), 165005 (2020)

本研究论文《从未排序的四维计算机断层扫描中解决可变呼吸运动》中采用了 XCAT 虚拟影像数据集。有关数据集的使用方法，请访问 https://github.com/Yuliang-Huang/4DCT-irregular-motion。如本数据集对您的研究有所帮助，敬请引用本 MICCAI 论文。注：本数据集的发布得到了杜克大学 Paul Segars 教授的许可，特此致谢。若需使用 XCAT 软件，请联系他。数据集简介：采用 4DXCAT 软件 [1] 生成了含有运动的胸部虚拟影像，并经 cid-X 软件 [2] 后处理。模拟过程受两个呼吸轨迹控制，即胸廓和膈肌的运动，这些轨迹由实际患者的二维 cine MRI 数据测量获得。为引入滞后效应，即呼吸在吸气和呼气过程中遵循不同的路径，膈肌轨迹故意延迟了 1 秒。胸廓轨迹可模拟临床实践中用于排序四维计算机断层扫描数据的皮肤标记或腰带信号，并存储在 rpm_signal.txt 文件中。虚拟影像数据集包含 182 个时间点的胸部区域影像，每个影像大小为 355x280x115 个体素，分辨率为 1x1x3 毫米。每个时间点还提供了肿瘤的二值掩码。动态体积和肿瘤掩码可从压缩的 ground_truth.zip 文件夹中找到。ref_empty_image.nii.gz 文件是一个零体素值的图像，用于定义参考图像空间。ref_tumor_mask.nii.gz 是平均位置处的真实肿瘤掩码。参考文献：[1]Segars, W.P. 等：4d xcat phantom for multimodality imaging research. Medical physics 37(9), 4902–4915 (2010)[2]Eiben, B. 等：Consistent and invertible deformation vector fields for a breathing anthropomorphic phantom: a post-processing framework for the xcat phantom. Physics in Medicine & Biology 65(16), 165005 (2020)