Automated intracranial vessel labeling with learning boosted by vessel connectivity, radii and spatial context
Automated intracranial vessel labeling with learning boosted by vessel connectivity, radii and spatial context
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发表时间：
2022-11
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通讯作者：
Jannik Sobisch;Žiga Bizjak;A. Chien;Žiga Špiclin
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作者：
Jannik Sobisch;Žiga Bizjak;A. Chien;Žiga Špiclin
脑血管疾病是世界上最主要的死亡原因之一，其筛查和诊断依赖于血管造影成像。我们专注于脑动脉的自动解剖标记，使其横断面量化和受试者间比较成为可能，从而确定与脑血管疾病相关的几何危险因素。我们使用了来自三个公开数据集的152张大脑TOF-MRA血管图，并使用Slicer3D手动创建了参考标签。我们使用VesselVio从基于nnU-net的分割中提取中心线，并根据参考标记对其进行标记。船舶中心线坐标，结合额外的船舶连通性、半径和空间环境特征，用于训练七种不同的PointNet++模型。仅在血管中心线坐标上训练的模型ACC为0.93，跨标签平均TPR为0.88。加入血管半径后，ACC显著提高至0.95，TPR显著提高至0.91。最后，将空间背景聚焦于威利斯圈的最佳ACC值为0.96，最佳平均TPR值为0.93。因此，利用血管半径和空间背景极大地改善了血管标记，所获得的性能为颅内血管标记的临床应用开辟了道路。
Cerebrovascular diseases are among the world's top causes of death and their screening and diagnosis rely on angiographic imaging. We focused on automated anatomical labeling of cerebral arteries that enables their cross-sectional quantification and inter-subject comparisons and thereby identification of geometric risk factors correlated to the cerebrovascular diseases. We used 152 cerebral TOF-MRA angiograms from three publicly available datasets and manually created reference labeling using Slicer3D. We extracted centerlines from nnU-net based segmentations using VesselVio and labeled them according to the reference labeling. Vessel centerline coordinates, in combination with additional vessel connectivity, radius and spatial context features were used for training seven distinct PointNet++ models. Model trained solely on the vessel centerline coordinates resulted in ACC of 0.93 and across-labels average TPR was 0.88. Including vessel radius significantly improved ACC to 0.95, and average TPR to 0.91. Finally, focusing spatial context to the Circle of Willis are resulted in best ACC of 0.96 and best average TPR of 0.93. Hence, using vessel radius and spatial context greatly improved vessel labeling, with the attained perfomance opening the avenue for clinical applications of intracranial vessel labeling.