机电工程技术2026，Vol.55Issue(1)：23-28,6.DOI:10.3969/j.issn.1009-9492.2026.01.005
面向血管形态学分析的点云统计形状模型构建与研究
Construction and Research of a Point-cloud Statistical Shape Model for Vascular Morphological Analysis
曾耀 1李卓 1刘奥 1孙强 1赵海峰1
作者信息
- 1. 沈阳工业大学化工装备学院,辽宁 辽阳 111000
- 折叠
摘要
Abstract
Traditional mesh-based statistical shape models(SSMs)are widely used in medical image analysis but face challenges in handling complex vascular geometric shapes such as bifurcations,curvatures,and plaque deformations due to insufficient precision.A point cloud-based SSM is proposed that directly processes discrete three-dimensional(3D)point cloud data using a fusion algorithm of dynamic graph convolutional neural networks(DGCNNs)and spatial attention mechanisms,establishing a topology-free vascular morphological model.The experimental study utilizes a dataset of 114 carotid artery time-of-flight magnetic resonance angiography(TOF-MRA)images,preprocessed with a hybrid filtering method,to construct a comparative framework of point cloud and mesh models.The results demonstrate that the point cloud model significantly enhances the uniformity of grid quality by 42%(the coefficient of variation of the Jacobi coefficient changes from 0.13 to 0.08),making it more suitable for subsequent fluid dynamics simulation analysis.Additionally,under the condition of preserving 90%of the shape variation,the point cloud model reduces the principal component dimensions by 18%compared to the traditional mesh model(9 vs 11).In subsequent specificity and generalization evaluations,the point cloud model exhibits stronger robustness.关键词
三维建模/网格处理/血管形态学/深度学习/脑血管疾病Key words
3D modeling/mesh processing/vascular morphology/deep learning/cerebrovascular diseases分类
医药卫生引用本文复制引用
曾耀,李卓,刘奥,孙强,赵海峰..面向血管形态学分析的点云统计形状模型构建与研究[J].机电工程技术,2026,55(1):23-28,6.
