Abstract #2087

Carotid Artery Self-navigation Coughing Motion Correction Using Principle Component Analysis Jointed with Differential Threshold Method

Yu Wang¹, Haikun Qi², Yajie Wang¹, Guanhua Wang¹, and Huijun Chen¹

¹Department of Biomedical Engineering, School of Medicine, Tsinghua University, Beijing, China, ²School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom

Black-blood MRI is an important tool to evaluate atherosclerosis for carotid artery, however, it is susceptible to motion and no former motion correction method for carotid artery could achieve 100% acquisition efficiency. Therefore, a 100% acquisition efficiency self-navigation carotid artery motion correction method based on Principle Component Analysis (PCA) jointed with Differential Threshold Method (DTM) was proposed for carotid artery imaging using radial sampling. Experimental results demonstrated that the proposed method can detect acute motions such as coughing, compute the motion-corrupted interval, and achieve higher reconstruction quality after removing the motion-corrupted spokes.

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