Keywords: Blood Vessels, Vessel Wall
Motivation: 3D MR vessel wall imaging is valuable to quantify plaque burden. Current protocols require a companion angiography image to localize and define vessel to guide subsequent VWI analysis, leading to additional effort, time, and risk of misalignment to VWI.
Goal(s): To develop an MRA-free intracranial vessel mapping method.
Approach: We define distance between VWI samples based on deformation complexity. K-medoid clustering is performed on a VWI-MRA atlas and the medoids are used to represent each cluster. Vessel trees is inferred from new VWI by deforming the closest medoid MRA.
Results: Our method manage to generate vessel tree with high agreement with MRA.
Impact: By organizing atlas with clustering, our approach provides a stable approach to infer vessel from VWI alone, mainlining the intrinsic consistency. This progress would simplify and expedite VWI protocol, and improve consistency.
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