  Atherosclerosis is a chronic, progressive disease that primarily affects the
arterial walls. It is one of the major causes of cardiovascular disease.
Magnetic Resonance (MR) black-blood vessel wall imaging (BB-VWI) offers crucial
insights into vascular disease diagnosis by clearly visualizing vascular
structures. However, the complex anatomy of the neck poses challenges in
distinguishing the carotid artery (CA) from surrounding structures, especially
with changes like atherosclerosis. In order to address these issues, we propose
GAPNet, which is a consisting of a novel geometric prior deduced from.
