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Abstract #2581

Automatic ROI Specification and Reference Frame Selection for Motion Correction in Cardiac Imaging

Jieying Luo1, R. Reeve Ingle1, Dwight G. Nishimura1

1Electrical Engineering, Stanford University, Stanford, CA, United States

An automatic method for ROI specification and reference frame selection has been developed to enable automatic motion estimation from two-dimensional image navigators. Filtering and feature region searching techniques are used to automatically detect an ROI covering the heart. A novel principal component analysis technique is used to extract respiratory information from the image navigators. This respiratory information is used to identify an image at end expiration to use as a reference for subsequent motion estimation. This method is applied to a free-breathing coronary MR angiography acquisition to enable automatic display of motion-corrected images after a scan.