Automated initialization and region of interest detection for successful head registration of truncated CT/MR head & neck images

Maximization of a voxel based similarity metric like mutual information is the state of the art for the multimodal rigid registration of the head. To achieve satisfactory results the transform needs to be initialized properly and the region of interest (ROI) containing only rigid structures has to be defined in both images. In this paper we present and comprehensively evaluate an automated initialization and ROI detection method that enables the fully automated rigid registration of routinely gathered head CT and MR images.

[1]  C. Pelizzari,et al.  Retrospective geometric correlation of MR, CT, and PET images. , 1988, Radiology.

[2]  N. Otsu.  A threshold selection method from gray level histograms , 1979 .

[3]  M. Langlois,et al.  Society of Photo-Optical Instrumentation Engineers , 2005 .

[4]  Guy Marchal,et al.  Multi-modality image registration by maximization of mutual information , 1996, Proceedings of the Workshop on Mathematical Methods in Biomedical Image Analysis.

[5]  Balraj Naren,et al.  Medical Image Registration , 2022 .

[6]  Gerald Q. Maguire,et al.  Comparison and evaluation of retrospective intermodality brain image registration techniques. , 1997, Journal of computer assisted tomography.

[7]  Tracy L. Faber,et al.  Orientation of 3-D Structures in Medical Images , 1988, IEEE Trans. Pattern Anal. Mach. Intell..

[8]  Georgios Sakas,et al.  Feature Extraction from Medical Images for an Oral Cancer Reoccurrence Prediction Environment , 2009 .

[9]  D. Hill,et al.  Accurate frameless registration of MR and CT images of the head: applications in planning surgery and radiation therapy. , 1994, Radiology.

[10]  David R. Haynor,et al.  Nonrigid multimodality image registration , 2001, SPIE Medical Imaging.

[11]  Colin Studholme,et al.  Automated 3-D registration of MR and CT images of the head , 1996, Medical Image Anal..

[12]  Paul A. Viola,et al.  Multi-modal volume registration by maximization of mutual information , 1996, Medical Image Anal..

[13]  J. Hajnal,et al.  A Registration and Interpolation Procedure for Subvoxel Matching of Serially Acquired MR Images , 1995, Journal of computer assisted tomography.

[14]  Guy Marchal,et al.  Multimodality image registration by maximization of mutual information , 1997, IEEE Transactions on Medical Imaging.

[15]  Martin Styner,et al.  Automatic method to assess local CT-MR imaging registration accuracy on images of the head. , 2005, AJNR. American journal of neuroradiology.

[16]  Yunmei Chen,et al.  Cumulative residual entropy, a new measure of information & its application to image alignment , 2003, Proceedings Ninth IEEE International Conference on Computer Vision.