A Temporal-Consistency Segmentation-Inpainting Virtual Subtraction for Roadmap Imaging.

Chengyu Zheng¹, Weilong Mao², Yikang Liu², Chunhua Jiang³, Zhengyu Shi¹, Tianliang Yao⁴, Canzhen Ma⁵, Peng Qi⁶

¹Department of Control Science and Engineering, College of Electronics and Information Engineering, and Shanghai Institute of Intelligent Science and Technology, Tongji University, Shanghai, China.

²Shanghai United Imaging Healthcare Co., Ltd., Shanghai, China.

³United Imaging Intelligence, Boston, MA, USA.

⁴Department of Electronic Engineering, The Chinese University of Hong Kong, Hong Kong SAR, China.

⁵Shanghai United Imaging Healthcare Co., Ltd., Shanghai, China. canzhen.ma@united-imaging.com.

⁶Department of Control Science and Engineering, College of Electronics and Information Engineering, and Shanghai Institute of Intelligent Science and Technology, Tongji University, Shanghai, China. pqi@tongji.edu.cn.

PubMed DOI

Abstract

Digital subtraction angiography (DSA) roadmap imaging is widely used in endovascular interventions, but conventional mask-based subtraction is often affected by device contamination and motion-related misregistration. Existing mask-free methods commonly rely on unconstrained image synthesis, with limited interpretability and temporal stability. This study developed an interpretable virtual subtrac…

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