计算机工程2025，Vol.51Issue(4)：37-46,10.DOI:10.19678/j.issn.1000-3428.0070221
基于多尺度聚合与高分辨率增强的CTA脑血管分割模型
CTA Cerebral Vessel Segmentation Model Based on Multi-scale Aggregation and High-resolution Enhancement
摘要
Abstract
Cerebral vessels in brain CT Angiography(CTA)images exhibit diverse morphologies and distributions with significant variations among patients.The standard U-Net often struggles to adapt to local vessel morphology,leading to the loss of small target information during down-sampling and neglecting the correlations among scattered objects.To address these challenges,this study enhances the U-Net architecture and introduces the BVU-Net,a cerebral vessel segmentation network that utilizes multi-scale aggregation and high-resolution enhancement.The BVU-Net designs a Multi-Scale Feature Aggregation(MSFA)module in its bottleneck layer,which captures local vessel features at various scales as well as global correlation features.This module integrates the Dilated Deformable Pyramid(DDP)path and the Global Attention(GA)path.In addition,a High-Resolution Feature Enhancement(HRFE)module is incorporated into the skip connection paths,allowing for the effective use of advanced features with richer semantic information.This enhancement improves the representation of high-resolution features and supplements the information on small vessels.The performance of the BVU-Net is evaluated on the public dataset 3D-IRCADb and the private dataset GLCTA,achieving Dice scores of 0.787 2 and 0.924 8 and Mean Intersection over Union(MIoU)scores of 0.832 2 and 0.932 1,respectively.These results demonstrate that the BVU-Net outperforms other improved U-Net segmentation models and exhibits notable generalization capabilities,providing valuable insights for future clinical treatment and prognosis analysis.关键词
脑血管分割/急性缺血性卒中/多尺度特征聚合/高分辨率增强/可变形卷积Key words
cerebral vessel segmentation/Acute Ischemic Stroke(AIS)/Multi-Scale Feature Aggregation(MSFA)/high-resolution enhancement/deformable convolution分类
计算机与自动化引用本文复制引用
张天旭,黄慧,黄丙仓,马燕,徐傲,李晓艳,周孝雯,刘之之..基于多尺度聚合与高分辨率增强的CTA脑血管分割模型[J].计算机工程,2025,51(4):37-46,10.基金项目
国家自然科学基金(61501297). （61501297）
