A Survey on the Progress of Computer-Assisted Vascular Intervention

Abstract

Vascular diseases seriously threaten human health. As a commonly used minimally invasive surgery, vascular interventional diagnosis and treatment faces a variety of clinical burdens, so the support of computer-aided technology is urgently needed. In recent years, the rapid development of extravascular and intravascular medical imaging technology and artificial intelligence methods has promoted the related research of computer-assisted vascular intervention technology. The organic relationship between the basic content and key technologies of computer-assisted vascular intervention and its applications are reviewed and systematically analyzed, including multi-modal medical angiography image analysis, catheter guide wire position tracking, vascular associated lesion characteristics, morphological recognition, and other hot issues, and the relationships between the above contents and surgical planning and surgical navigation are analyzed. It is concluded that the clinical application trend in this field is to combine the integration of diagnosis and treatment with vascular interventional robot technology. Through the analysis of research status and development trends, it is concluded that the challenges faced by various research content are: the accuracy of the segmentation model to quantify the vascular structure and the completeness of topology extraction, intervention path vectorization and accuracy of multimodal information fusion, correlation between vascular anatomical labeling and surgical path navigation, and the level and evaluation method of human-computer interaction in vascular intervention. Analysis shows that in the process of solving these problems, the artificial intelligence diagnosis and treatment technology will continue to be promoted, especially the rapid development and clinical application of robot-assisted vascular intervention.