Abstract
AbstractLeft subclavian artery occlusion is frequently treated by stent placement. The most commented on In-Stent Restenosis is excessive thrombus that squeezes the stent and leads to vessel occlusion. In this paper, an automatic system is provided to segment the left subclavian arteries and left aortic arches from chest MRI (Magnetic Resonance Imaging) images, and then to identify the occlusion of left subclavian artery based on the gray-levels of the extracted left subclavian artery and left aortic arch. Experimental results show that the system obtains the accuracy rate 97.33% of detecting the occlusion of left subclavian artery. The other task in this paper is to explore the relationship between stent/vascular diameter ratio and restenosis of left subclavian artery after stenting. Besides that, the experimental results also show that Assurance is useful for reducing the restenosis of left subclavian artery with stent.
Funder
Ministry of Science and Technology
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software