A Biplanar Reconstruction Method Based on 2D and 3D Contours: Application to the Distal Femur

A three-dimensional (3D) reconstruction algorithm based on contours identification from biplanar radiographs is presented. It requires, as technical prerequisites, a method to calibrate the biplanar radiographic environment and a surface generic object (anatomic atlas model) representing the structure to be reconstructed. The reconstruction steps consist of: the definition of anatomical regions, the identification of 2D contours associated to these regions, the calculation of 3D contours and projection onto the radiographs, the associations between points of the X-rays contours and points of the projected 3D contours, the optimization of the initial solution and the optimized object deformation to minimize the distance between X-rays contours and projected 3D contours. The evaluation was performed on 8 distal femurs comparing the 3D models obtained to CT-scan reconstructions. Mean error for each distal femur was 1 mm.

[1]  Stephane Veron Modelisation geometrique et mecanique tridimensionnelle par elements finis du rachis cervical superieur , 1997 .

[2]  S Laporte,et al.  3D reconstruction of the pelvis using the NSCP technique. , 2002, Studies in health technology and informatics.

[3]  P Olivier,et al.  Structural evaluation of articular cartilage: potential contribution of magnetic resonance techniques used in clinical practice. , 2001, Arthritis and rheumatism.

[4]  H Labelle,et al.  Optimized vertical stereo base radiographic setup for the clinical three-dimensional reconstruction of the human spine. , 1994, Journal of biomechanics.

[5]  Rafael E. Riveros,et al.  Studies in Health Technology and Informatics , 2005 .

[6]  J.A. de Guise,et al.  3D-biomedical modeling: merging image processing and computer aided design , 1988, Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[7]  I A Stokes,et al.  Measurements of the three-dimensional shape of the rib cage. , 1988, Journal of biomechanics.

[8]  Stuart I. Herbert,et al.  Computer Methods and Programs in Biomedicine 48 (1995) 21-26 , 1995 .

[9]  F. Trochu A contouring program based on dual kriging interpolation , 1993, Engineering with Computers.

[10]  Jacques A. de Guise,et al.  Modélisation 3D de structures ostéarticulaires par rétroprojections radiographiques multiplanaires , 2000 .

[11]  H. Damasio,et al.  IEEE Transactions on Pattern Analysis and Machine Intelligence: Special Issue on Perceptual Organization in Computer Vision , 1998 .

[12]  M Viceconti,et al.  CT data sets surface extraction for biomechanical modeling of long bones. , 1999, Computer methods and programs in biomedicine.

[13]  R Burgkart,et al.  Magnetic resonance imaging-based assessment of cartilage loss in severe osteoarthritis: accuracy, precision, and diagnostic value. , 2001, Arthritis and rheumatism.

[14]  Vincent de Paul,et al.  3 D Personalized Geometric Modeling of the Pelvis Using Stereo X rays , 2001 .

[15]  I A Stokes,et al.  Three-dimensional osseo-ligamentous model of the thorax representing initiation of scoliosis by asymmetric growth. , 1990, Journal of biomechanics.

[16]  F Cheriet,et al.  Self-calibration of a biplane X-ray imaging system for an optimal three dimensional reconstruction. , 1999, Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society.