Deformable 3D Volume Registration Using Efficient MRFs Model with Decomposed Nodes

K.J. Lee, Do Yoon Kwon, Il Dong Yun, S.U. Lee · 2008

An efficient registration algorithm working on non-rigid 3D objects is presented. We formulate the registration as a discrete labeling problem on MRFs model whose energy can be minimized by optimization techniques in the literature. Due to the huge search range in three-dimensional space, previous approaches produces a vast amount of labels for a node in the MRFs graph. To reduce the number of labels, we decompose a node into three nodes so that the labels in each node represent just one-dimensional displacement. This procedure introduces a factor node with a clique potential of size three, defining ternary interaction between the decomposed nodes. We convert the factor node into pairwise interactions and adopt the tree-reweighted message passing technique, which guarantees the convergence of lower bound of the energy function. In experiments we use clinical and synthetically deformed 3D medical images. Result shows the proposed method enhances computational efficiency without loss of accuracy. 1

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