Atlas-based 3D-Shape Reconstruction from X-Ray Images

In many cases X-ray images are the only basis for surgery planning. Nevertheless it is desirable to draw conclusions about the 3D-anatomy of the patient from such data. This work presents a method to reconstruct 3D shapes from few digital X-ray images on the basis of 3D-statistical shape models. At the core of this method lies an algorithm which optimizes a similarity measure assessing the difference between projections of the shape model and the X-ray images. Based on theoretical and experimental observations we propose to measure the distance between the silhouettes of the object in the projections. The method is tested on 23 synthetically generated X-rays from CT data sets of the geometrically as well as topologically complex shape of the pelvic bone

[1]  Max Mignotte,et al.  3D/2D registration and segmentation of scoliotic vertebrae using statistical models. , 2003, Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society.

[2]  Daniel Rueckert.  Nonrigid Registration: Concepts, Algorithms, and Applications , 2001 .

[3]  Stéphane Lavallée,et al.  Nonrigid 3-D/2-D Registration of Images Using Statistical Models , 1999, MICCAI.

[4]  Steven Dawson,et al.  Real-time PC based X-ray simulation for interventional radiology training. , 2003, Studies in health technology and informatics.

[5]  Graeme P. Penney,et al.  Standardized evaluation methodology for 2-D-3-D registration , 2005, IEEE Transactions on Medical Imaging.

[6]  Johan Montagnat,et al.  A review of deformable surfaces: topology, geometry and deformation , 2001, Image Vis. Comput..

[7]  Randy E. Ellis,et al.  2D/3D Deformable Registration Using a Hybrid Atlas , 2005, MICCAI.

[8]  J R van Horn,et al.  Digital correction of magnification in pelvic x rays for preoperative planning of hip joint replacements: theoretical development and clinical results of a new protocol. , 2005, Medical physics.

[9]  G. Bergmann,et al.  Musculo-skeletal loading conditions at the hip during walking and stair climbing. , 2001, Journal of biomechanics.

[10]  J R van Horn,et al.  Digital correction of magnification in pelvic x rays for preoperative planning of hip joint replacements: Theoretical development and clinical results of a new protocol. , 2005, Medical physics.

[11]  Hans-Christian Hege,et al.  A 3D statistical shape model of the pelvic bone for segmentation , 2004, SPIE Medical Imaging.