Aortic Vessel Tree (AVT) CTA Datasets and Segmentations

The datasets include 56 CTA scans from mostly healthy aortas, covering the aortic arch and its branches and the abdominal aortas with the iliac arteries. Furthermore, we include segmentations (masks) of the aortas and its branches (aortic vessel trees) as binary mask images. Note: The collections includes one case with an abdominal aortic aneurysm (AAA) and five cases with aortic dissections (ADs). -Please use the following citations if you use the datasets in your work: L. Radl, et al. “Aortic Vessel Tree (AVT) CTA Datasets and Segmentations“. Figshare, 2021. L. Radl, Y. Jin, A. Pepe, J. Li, C. Gsaxner, F. Zhao, J. Egger. “AVT: Multicenter Aortic Vessel Tree CTA Dataset Collection with Ground Truth Segmentation Masks“. Data in Brief (DIB), Elsevier, 107801, 2022. The collection partly builds upon other public data collection, the appropriate licenses apply. -The datasets can be quickly be viewed with StudierFenster: www.studierfenster.at AI-guided Therapies (AIT), Institute for Artificial Intelligence in Medicine (IKIM), University Hospital Essen (UKE), Germany本数据集包含56例计算机断层血管造影（Computed Tomography Angiography, CTA）扫描数据，样本以健康主动脉为主，覆盖主动脉弓及其分支、腹主动脉与髂动脉。此外，数据集附带主动脉及其分支（主动脉血管树，Aortic Vessel Tree, AVT）的二值图像格式分割掩码。需注意：本数据集包含1例腹主动脉瘤（Abdominal Aortic Aneurysm, AAA）病例与5例主动脉夹层（Aortic Dissection, AD）病例。 若在研究工作中使用本数据集，请引用以下文献： 1. L. Radl 等. 《主动脉血管树（AVT）CTA数据集与分割掩码》. Figshare, 2021. 2. L. Radl、Y. Jin、A. Pepe、J. Li、C. Gsaxner、F. Zhao、J. Egger. 《AVT：带真值分割掩码的多中心主动脉血管树CTA数据集集》. 《数据简报（Data in Brief, DIB）》, 爱思唯尔（Elsevier）, 107801, 2022. 本数据集部分基于其他公开数据集构建，需遵循对应许可协议。 可通过StudierFenster（网址：www.studierfenster.at）快速查看本数据集。本数据集由德国埃森大学医院（University Hospital Essen, UKE）人工智能医学研究所（Institute for Artificial Intelligence in Medicine, IKIM）的AI引导治疗（AI-guided Therapies, AIT）团队提供。

搜集汇总

背景与挑战

背景概述

该数据集是一个主动脉血管树CTA扫描和分割的集合，包含56个主要来自健康主动脉的CTA影像，覆盖主动脉弓、分支、腹主动脉及髂动脉，并提供对应的二进制掩码分割图像。其特点在于不仅包含正常主动脉数据，还特别收录了一个腹主动脉瘤和五个主动脉夹层病例，适用于医学图像分析和深度学习研究。