Motion Estimation in X-Ray Image Sequences with Bi-Distributed Transparency

This paper is concerned with motion estimation in transparent X-Ray image sequences. Most of these medical images can be divided into areas containing at most two moving transparent layers. We will call it bi-distributed transparency. The first contribution of this paper is a motion estimation framework for the two-layer transparency case, able to handle noisy and low-contrasted X-Ray image sequences. It involves three steps: block-matching, affine fit and gradient-based parametric estimation. This estimation scheme is then extended to the bi-distributed transparency case. The second step is now formulated as a joint motion segmentation-estimation problem solved by the iterative minimization of a MRF-based energy function. This framework has been applied to synthetic and real image sequences with quite satisfactory results.

• Type: Conference
• Year: 2006
• Where: ICIP
• Authors: Jean Liénard, Patrick Bouthemy, Vincent Auvray
• Keywords: Gradient-based Parametric Estimation, ICIP 2006, Image Processing, Motion Estimation Framework, Transparent X-ray Image, Two-layer Transparency Case, X-ray Image Sequences