Robust Nonrigid Multimodal Image Registration Using Local Frequency Maps

Automatic multi-modal image registration is central to numerous tasks in medical imaging today and has a vast range of applications e.g., image guidance, atlas construction, etc. In this paper, we present a novel multi-modal 3D non-rigid registration algorithm where in 3D images to be registered are represented by their corresponding local frequency maps efficiently computed using the Riesz transform as opposed to the popularly used Gabor filters. The non-rigid registration between these local frequency maps is formulated in a statistically robust framework involving the minimization of the integral squared error a.k.a. L2E (L2 error). This error is expressed as the squared difference between the true density of the residual (which is the squared difference between the non-rigidly transformed reference and the target local frequency representations) and a Gaussian or mixture of Gaussians density approximation of the same. The non-rigid transformation is expressed in a B-spline basis...

• Type: Conference
• Year: 2005
• Where: IPMI
• Authors: Bing Jian, Baba C. Vemuri, José L. Marroquín
• Keywords: IPMI 2005, Local Frequency, Medical Imaging, Non-rigid Registration, Non-rigid Registration Algorithm