title: Mutual information for Lucas-Kanade Tracking (MILK): an inverse compositional formulation.
abstract: Mutual Information (MI) is popular for registration via function optimisation. This work proposes an inverse compositional formulation of MI for Levenberg-Marquardt optimisation. This yields a constant Hessian, which may be pre-computed. Speed improvements of 15% were obtained, with convergence accuracies similar to those of the standard formulation.
authors.affiliation: Siemens Molecular Imaging, Oxford, OX1 2EP, UK. nicholas.dowson@siemens.com
authors.forename: Nicholas
authors.initials: N
authors.lastname: Dowson
authors.forename: Richard
authors.initials: R
authors.lastname: Bowden
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods*; D009038:Motion; D010363:Pattern Recognition, Automated / Q000379:methods*; D013382:Subtraction Technique