title: GPU accelerated non-rigid registration for the evaluation of cardiac function.
abstract: We present a method for the fast and efficient tracking of motion in cardiac magnetic resonance (CMR) cines. A GPU accelerated Levenberg-Marquardt non-linear least squares optimization procedure for finite element non-rigid registration was implemented on an NVIDIA graphics card using the OpenGL environment. Points were tracked from frame to frame using forward and backward incremental registration. The inner (endocardial) and outer (epicardial) boarders of the heart were tracked in six short axis cines with approximately 25 frames through the cardiac cycle in 36 patients with vascular disease. Contours placed by two independent expert observers using a semi-automatic ventricular analysis program (CIM version 4.6) were used as the gold standard. The method took 0.5 seconds per frame, and the maximum Hausdorff errors were less than 2 mm on average which was of the same order as the expert inter-observer error. In conclusion, GPU accelerated Levenberg-Marquardt non-linear optimization enables fast and accurate tracking of cardiac motion in CMR images.
authors.affiliation: Auckland Bioengineering Institute, University of Auckland, Auckland, New Zealand. b.li@auckland.ac.nz
authors.forename: Bo
authors.initials: B
authors.lastname: Li
authors.forename: Alistair A
authors.initials: AA
authors.lastname: Young
authors.forename: Brett R
authors.initials: BR
authors.lastname: Cowan
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D002318:Cardiovascular Diseases / Q000175:diagnosis*; D006801:Humans; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D019028:Magnetic Resonance Imaging, Cine / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D013382:Subtraction Technique