Location of Repository

2D-3D registration of CT vertebra volume to fluoroscopy projection: A calibration model assessment (doi:10.1155/2010/806094)

By P. Bifulco, M. Cesarelli, R. Allen, M. Romano, A. Fratini and G. Pasquariello

Abstract

This study extends a previous research concerning intervertebral motion registration by means of 2D dynamic fluoroscopy to obtain a more comprehensive 3D description of vertebral kinematics. The problem of estimating the 3D rigid pose of a CT volume of a vertebra from its 2D X-ray fluoroscopy projection is addressed. 2D-3D registration is obtained maximising a measure of similarity between Digitally Reconstructed Radiographs (obtained from the CT volume) and real fluoroscopic projection. X-ray energy correction was performed. To assess the method a calibration model was realised a sheep dry vertebra was rigidly fixed to a frame of reference including metallic markers. Accurate measurement of 3D orientation was obtained via single-camera calibration of the markers and held as true 3D vertebra position; then, vertebra 3D pose was estimated and results compared. Error analysis revealed accuracy of the order of 0.1 degree for the rotation angles of about 1?mm for displacements parallel to the fluoroscopic plane, and of order of 10?mm for the orthogonal displacement.<br/><br/

Topics: TA
Year: 2010
OAI identifier: oai:eprints.soton.ac.uk:80505
Provided by: e-Prints Soton

Suggested articles

Preview

Citations

  1. (2008). A 3D kinematic estimation of knee prosthesis using Xray projection images: clinical assessment of the improved algorithm for fluoroscopy images,” doi
  2. (2003). A faster method for 3D/2D medical image registration—a simulation study,” doi
  3. (1999). A model-based method for the reconstruction of total knee replacement kinematics,” doi
  4. (1996). Accurate measurement of three-dimensional knee replacement kinematics using singleplane fluoroscopy,” doi
  5. (1994). An evaluation of reconstruction filters for volume rendering,” doi
  6. Anatomy based registrationofthree-dimensionalmedicalimages,rangeimages,Xray projections, and three-dimensional models using octreesplines,”
  7. (1999). and H.Schumann,“Fastvoxel-based2D/3Dregistrationalgorithm using a volume rendering method based on the shear-warp factorization,” doi
  8. (1998). Automated 3-dimensional computed tomographic and fluoroscopic image registration,” doi
  9. (2001). Automaticrecognitionofvertebrallandmarksinfluoroscopic sequences for analysis of intervertebral kinematics,” doi
  10. (2006). Calculating the 2D motion of lumbar vertebrae using splines,” doi
  11. (1990). Cervical spine motion in the sagittal plane (I) range of motionofactuallyperformedmovements,anX-raycinematographic study,” doi
  12. (1992). Cervical spine motion in the sagittal plane II: position of segmental averaged instantaneous centers of rotation—a cineradiographic study,” doi
  13. (1993). Comments on “design of fiducials for accurate registration using machine vision”,” doi
  14. (1990). Design of fiducials for accurate registration using machine vision,” doi
  15. (2002). Estimation of out-of-plane vertebra rotations on radiographic projections using CT data: a simulation study,” doi
  16. (1998). Estimation of the 3D positioning of anatomicstructuresfromradiographicprojectionandvolume
  17. (2004). Evaluation of spine kinematics after surgical intervention: a feasibility study,”
  18. (1997). Fluoroscopic analysis of inter-vertebral lumbar motion: doi
  19. (1988). High-precision three-dimensional photogrammetric calibration and object space reconstruction using a modified DLT-approach,” doi
  20. (1996). ifulc o ,M.C esar elli,R.Alle n,J .M ugglet o n,andM.B racale, “Automatic vertebrae recognition throughout a videofluoroscopic sequence for intervertebral kinematics study,” in Time Varying Image Processing and Moving Object Recognition, doi
  21. (2002). Invivo evaluation of cervical spine intervertebral kinematics by means of digital fluoroscopy: experimental set-up,”
  22. (2005). Kinematical models to reduce the effect of skin artifacts on marker-based human motion estimation,” doi
  23. (1996). L.M.GottesfeldBrownandT.E.Boult,“Registrationofplanar film radiographs with computed tomography,”
  24. (1978). Medische Rontgentechniek in de Diagostiek, Uitgeversmaatschappij de Tijdstroom,
  25. (2003). Model-guided derivation of lumbar vertebral kinematics in vivo reveals the difference between external marker-defined and internal segmental rotations,” doi
  26. (1978). Radiographic studies of lateral flexion in the lumbar spine,” doi
  27. (1996). Reconstruction of digital radiographs by texture mapping, ray casting and splatting,” doi
  28. (1995). Recovering the position and orientation of free-form objects from image contours using 3D distance maps,” doi
  29. (1999). Registration and geometric modelling of the spine during scoliosis surgery: a comparison study of different pre-operative reconstruction techniques and intra-operative tracking systems,” doi
  30. (2008). Registration of a CT-like atlas to fluoroscopic X-ray images using intensity correspondences,” doi
  31. (2005). Russakoff,J .D e n z l e r ,K .M o r i ,a n dC .R . Maurer Jr., “Progressive attenuation fields: fast 2D-3D image registrationwithoutprecomputation,”MedicalPhysics,vol.32, doi
  32. (2005). Russakoff,T .R o h l fi n g ,J .R .A d l e rJ r . ,a n dC .R . Maurer Jr., “Intensity-based 2D-3D spine image registration incorporating a single fiducial marker,” doi
  33. (1998). Simulation of the radiography formation process from CT patient volume,”
  34. (1989). Spine kinematics: a digital videofluoroscopic technique,” doi
  35. (1981). t o k e s ,D .G .W i l d e r ,J .W .F r y m o y e r ,a n dM .H . Pope, “Assessment of patients with low-back pain by biplanar radiographic measurement of intervertebral motion,” doi
  36. (1978). The basic kinematics of the human spine: a review of past and current knowledge,” doi
  37. (1983). The Physics of Radiology, Charles C. doi
  38. Three-dimensional cinematography with control object of unknown shape,” doi
  39. (1997). uggletonandR.Allen,“ A utomaticlocationofvertebrae in digitized videofluoroscopic images of the lumbar spine,” doi
  40. (2009). Vertebrae tracking through fluoroscopic sequence: a novel approach,” doi
  41. (1997). Voxel-based 2-d/3-d registration of fluoroscopy images and CT scans for image-guided surgery,” doi

To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.