Deformable Registration of Supine and Prone Colons for Computed Tomographic Colonography

Computed tomographic colonography is a minimally invasive technique for detecting colorectal polyps and colon cancer. Most computed tomographic colonography protocols acquire both prone and supine images to improve the visualization of the lumen wall, reduce false-positives, and improve sensitivity. Comparisons between the prone and supine images can be improved by registration between the scans. In this paper, we propose registering colon lumens, segmented from prone and supine images, using feature matching of the colon centerline and nonrigid registration of the lumen shapes represented as distance functions. Experimental registration results (n = 21 subjects) show a correspondence accuracy of 13.77 ± 6.20 mm for a range of polyp sizes. The overlap in the registered lumen segmentations show an average Jaccard similarity coefficient of 0.915 ± 0.07.

[1]  D J Vining,et al.  Automatic segmentation of the colon for virtual colonoscopy. , 2000, Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society.

[2]  P. Danielsson.  Euclidean distance mapping , 1980 .

[3]  Christopher L. Wyatt,et al.  DEFORMABLE REGISTRATION OF SUPINE AND PRONE COLONS USING CENTERLINE ANALYSIS , 2007, 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

[4]  R. Jeffrey,et al.  Registration of central paths and colonic polyps between supine and prone scans in computed tomography colonography: pilot study. , 2004, Medical physics.

[5]  Judy Yee,et al.  Comparison of supine and prone scanning separately and in combination at CT colonography. , 2003, Radiology.

[6]  W. Eric L. Grimson,et al.  Intra-patient Prone to Supine Colon Registration for Synchronized Virtual Colonoscopy , 2002, MICCAI.

[7]  Christopher L. Wyatt,et al.  Registration of prone and supine colons in the presence of topological changes , 2008, SPIE Medical Imaging.

[8]  D J Vining,et al.  Virtual endoscopy: is it reality? , 1996, Radiology.

[9]  P. Pickhardt,et al.  Computed tomographic virtual colonoscopy to screen for colorectal neoplasia in asymptomatic adults. , 2003, The New England journal of medicine.

[10]  Jean-Philippe Thirion,et al.  Image matching as a diffusion process: an analogy with Maxwell's demons , 1998, Medical Image Anal..

[11]  J. Stoker,et al.  CT colonography: practical aspects and present status , 2003 .

[12]  R. Truyen,et al.  Feasibility of automated matching of supine and prone CT-colonography examinations. , 2006, The British journal of radiology.

[13]  Nikos Paragios,et al.  Non-rigid registration using distance functions , 2003, Comput. Vis. Image Underst..

[14]  S. Napel,et al.  Medial axis registration of supine and prone CT colonography data , 2001, 2001 Conference Proceedings of the 23rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[15]  Christopher L. Wyatt,et al.  Deformable Registration of Prone and Supine Colons for CT Colonography , 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.

[16]  J G Fletcher,et al.  Optimization of CT colonography technique: prospective trial in 180 patients. , 2000, Radiology.

[17]  J R Hecht,et al.  CT colonography: value of scanning in both the supine and prone positions. , 1999, AJR. American journal of roentgenology.

[18]  Zhengrong Liang,et al.  Automatic centerline extraction for virtual colonoscopy , 2002, IEEE Transactions on Medical Imaging.