Enhanced 3-D-reconstruction algorithm for C-arm systems suitable for interventional procedures

IEEE Transactions on Medical Imaging

Volumn 19, Issue 5, 2000, Pages 391-403

  Wiesenl, Karl ^a,b   Barth, K ^a,b   Navab, N ^a,b   Durlak, P ^a,b   Brunner, T ^a,b   Schuetz, O ^a,b   Scissler, W ^a,b  

^a SIEMENS AG   (Germany)

^b SIEMENS CORPORATE RESEARCH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; BONE; COMPUTATIONAL GEOMETRY; IMAGE QUALITY; IMAGE RECONSTRUCTION; MEDICAL IMAGING; ORTHOPEDICS;

COMPUTERIZED ARM BASE TOMOGRAPHY; CRANIAL VESSEL IMAGING; FELDKAMP ALGORITHM; THREE DIMENSIONAL IMAGE RECONSTRUCTION;

COMPUTERIZED TOMOGRAPHY;

ALGORITHM; ANEURYSM; ANIMAL; ARTHROGRAPHY; ARTICLE; ARTIFACT; BONE; BRAIN ARTERY; CAROTID ARTERY DISEASE; CATTLE; COMPARATIVE STUDY; COMPUTER ASSISTED TOMOGRAPHY; DIGITAL SUBTRACTION ANGIOGRAPHY; HUMAN; IMAGE PROCESSING; INSTRUMENTATION; INTERNAL CAROTID ARTERY; METHODOLOGY; NEURORADIOLOGY; RADIOGRAPHY; ROTATION;

ALGORITHMS; ANEURYSM; ANGIOGRAPHY, DIGITAL SUBTRACTION; ANIMALS; ARTHROGRAPHY; ARTIFACTS; BONE AND BONES; CAROTID ARTERY DISEASES; CAROTID ARTERY, INTERNAL; CATTLE; CEREBRAL ARTERIES; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; NEURORADIOGRAPHY; ROTATION; TOMOGRAPHY, X-RAY COMPUTED;

EID: 0034178299     PISSN: 02780062     EISSN: None     Source Type: Journal    
DOI: 10.1109/42.870250     Document Type: Article

References (52)

1. [ l ] A.C. Kak, C. V. Jakowatz, N. A. Baily, and R. A. Keller, Computerized tomography using video recorded fluoroscopic images, IEEE Trans. Biomed. Eng., vol. 24, pp. 157-169, 1977.
2. L.A. Feldkamp, L. C. Davis, and J. W. Kress, Practical cone-beam algorithm, J. Opt. Soc. Amer. A, vol. 6, pp. 612-619, 1984.
3. R.A. Kruger, D. R. Reinecke, S. W. Smith, and R. Ning, Reconstruction of blood vessels from x-ray subtraction projections: limited angle tomography, Med. Phys.. vol. 14, no. 6, pp. 940-949, Nov./Dec. 1987.
4. W.J. T. Spyra, A. Faridani, K. T. Smith, and E. L. Ritman, Computed tomographic imaging of the coronary arterial tree-use of local tomography, IEEE Trans. Med. Imag., vol. 9, pp. 1-4, Mar. 1990.
5. D. Saint-Felix, Y. Trousset, C. Picard, C. Ponchut, R. Romeas, and A. Rougee, In vivo evaluation of a new system for 3D computerized angiography, Phys. Med. Biol., vol. 39, pp. 583-595, 1994.
6. R. Ning and R.A. Kruger, Image intensifier-based computed tomography volume scanner for angiography, Acad. Radial., vol. 3, pp. 344-350, 1996.
7. R. Fahrig, A.J. Fox, S. Lownie, and D. W. Holdsworth, Use of a C-arm system to generate true 3-D computed rotational angiograms: preliminary in vitro and in vivo results, Am. J. Neuroradiotogy, vol. 18, pp. 1507-1514, 1997.
8. R. Kempkers, J. Op de Beek, H. Aerts, R. Koppe, E. Klotz, M. Grass, and J. Moret, 3D-rotational angiograhy: first clinical application with use of a standard Philips C-arm system, in CAR '98, H.U. Lemke, M. W. Vannier, K. Inamura, and A. Farman, Eds. New York: Elsevier Science, 1998, pp. 182-187.
9. Y Trousset, R. Vaillant, L. Launay, J. Obadia, N. Pivet, R. Anxionat, and L. Picard, A fully automated system for three-dimensional X-ray angiography, in CARS'99, H.U. Lemke, M. W. Vannier, K. Anamura, and A. G. Farman, Eds. New York: Elsevier Science, 1999, pp. 39-13.
10. J. Moret, R. Kemkers, J. Op de Beek, R. Koppe, E. Klotz, and M. Grass, 3D rotational angiography: clinical value in endovascular treatment, Medico Mundi, vol. 42, no. 3, pp. 8-14, 1998.
11. B. Unger, J. Link, J. Trenkler, and H. Böhm-Jurkovic, Digital 3D rotational angiography in preoperative and preinterventional diagnosis of intracranial aneurysms, RöFo, pp. 482-191, Mai 1999. (full paper in German only).
12. R.P. Klucznik and M. E. Mawad, Utilization of three-dimensional rotational angiography in the evaluation and endovascular treatment of cerebral aneurysms and arteriovenous malformations, RSNA 99, Supplement to Radiology, vol. 213P, p. 276, Nov. 1999.
13. R. Fahrig, Computed rotational angiography: Use of a C-arm-mounted XRII for 3D imaging of intracranial vessels during neuro-interventional procedures, dissertation, Univ. Western Ontario, London, Ontario, 1999.
14. A. Rougée, K.M. Hanson, and D. Saint-Felix, Comparison of 3D-tomographic algorithms for vascular reconstruction, SPIE, vol. 914, Medical Imaging II, pp. 397-05, 1988.
15. E. Payot, F J. Preteux, Y. Trousset, and R. Guillemaud, Generalized support constraint for three-dimensional reconstruction from incomplete Fourier spectra, J. Electron. Imag., vol. 6, no. 4, pp. 426-138, Oct. 1997.
16. K.M. Andress, Evidential reconstruction of vessel trees from rotational angiograms, in IEEE Int. Conf. Image Process., Los Alamitos, CA, 1998. pp. 385-389.
17. Ph. Rizo, P. Orangeat, and R. Guillemaud, Geometric calibration method for multiple-head cone-beam SPECT system, IEEE Trans. Nuclear Sci, vol. 41, no. 6, pp. 2748-2757, Dec. 1994.
18. S. Schaller, M. Karolczak, K. Engelke, K. Wiesent, and W. Kalender, Implementation of a fast cone-beam backprojection algorithm for Micro-CT using homogeneous coordinates, RSNA 1998, Supplement to Radiology, vol. 209P, pp. 433-134, Nov. 1998.
19. K.J. Kyriakopoulos, P. Yiannakos, V. Kallipolites, and K. Domales, A geometric calibration methodology for single-head cone-beam X-ray systems,/ Intell. Robot. Syst., vol. 24, pp. 151-174, 1999.
20. R. Fahrig, M. Moreau, and D.W. Holdsworth, Three-dimensional computed tomographic reconstruction using a C-arm mounted XRII: correction of image intensifier distortion, Med. Phys., vol. 24, no. 7, pp. 1097-1106, July 1997.
21. H. Tuy, An inversion formula for cone-beam reconstruction, SIAM J. Appl. Math., vol. 43, pp. 546-552, 1983.
22. P. Orangeat, P. Sire, R. Guillemaud, and V. La, Indirect cone-beam three-dimensional image reconstruction, in Contemporary Perspectives in Three-Dimensional Biomédical Imaging, C. Roux and J.L. Coatrieux, Eds. Amsterdam: IOS, 1997.
23. C. Jacobson, Fourier methods in 3D-reconstruction from cone-beam data, Linköping Studies in Science and Technology Dissertations no. 427, 1996.
24. Y. Trousset, C. Picard, C. Ponchut, R. Romeas, R. Campagnolo, S. Croci, J.M. Scarabin, and M. Amiel, 3D X-ray angiography: from numerical simulations to clinical routine (invited paper), in P roc. 1995 Int. Mtg. Fully Three-Dimensional Image Reconstruct. Radial. Nuclear Med., Aix-les-Bains, July 4-6, 1995, pp. 3-9.
25. R. Ning, The construction and evaluation of a prototype system for an image intensifier-based system, dissertation, Univ. Utah, 1989.
26. R.H. Johnson, J. Hsieh, R. C. Molthen, and C. A. Dawson, Efficacy of beam-hardening correction for vascular morphometry using 3D conebeam micro-CT, in Proc. 1999 Int. Mtg. Fully Three-Dimensional Image Reconstruct. Radial. Nuclear Med., Egmond aan Zee, June 23-26, 1999, pp. 208-211.
27. R. Fahrig, A.J. Fox, and D. Holdsworth, Characterization of a C-arm mounted XRII for 3D image reconstruction during interventional neuroradiology, Proc. SPIE, vol. 2708, pp. 351-360, 1996.
28. P.M. Joseph and R. A. Schulz, View sampling requirements in fan beam tomography, Med. Phys., vol. 7, pp. 692-702, Nov./Dec. 1980.
29. H.H. Barrett and W. S windell, Radiological Imaging. New York: Academic Press, 1981.
30. G. Schwierz, W. Haerer, and K. Wiesent, Sampling and discretization problems in X-ray CT, in Mathematical Aspects of Computerized Tomography, Proc. Oberwolfach 1980. New York: Springer, 1981, vol. 8, Lecture Notes in Medical Informatics, pp. 292-309.
31. F. Natterer, The Mathematics of Computerized Tomography. Stuttgart: Teubner, 1986.
32. _, Numerical methods in tomography, Acta Numerica, 1999.
33. R.R. Galigekere, K. Wiesent, and D. W. Holdsworth, Techniques to alleviate the effects of view aliasing artifacts in computed tomography, Med. Phys., vol. 26, no. 6, pp. 896-904, 1999.
34. D.L. Parker, Optimal short scan convolution for fanbeam CT, Med. Phys., vol. 9, pp. 254-257, 1982.
35. G.L. Zeng and G. T. Gullberg, Short-scan cone beam algorithm for circular and noncircular detector orbits, SPIE, vol. 1233, Medical Imaging IV: Image Process., pp. 453-63, 1990.
36. R. Fahrig and D.W. Holdsworth, Three-dimensional computed tomographic reconstruction using a C-arm mounted XRII: image-based correction of gantry motion nonidealities, Med. Phys., vol. 27, no. 1, pp. 30-38, 2000.
37. R. Koppe, E. Klotz, J. Op de Beek, and H. Aerts, 3D vessel reconstruction based on rotational angiography, in Computer Assisted Radiology, Proc. Int. Symp., CAR '95 Berlin, H.U. Lemke, K. Inamura, C. C. Jaffe, and M. V. Vannier, Eds. New York: Springer Verlag, 1995, pp. 101-107.
38. N. Navab, A. Bani-Hashemi, M. Mitschke, A.J. Fox, D. W. Holdsworth, R. Fahrig, and R. Graumann, Dynamic geometrical calibration for 3-D cerebral angiography, SPIE, vol. 2708, pp. 361-370, 1996.
39. A. Rougée, C. Picard, Y. Trousset, and C. Ponchut, Geometrical calibration for 3D X-ray imaging, SPIE, vol. 1897, Image Capture, Formatting, and Display, pp. 161-169, 1993.
40. O.D. Faugeras, Three-Dimensional Computer Vision: A Geometric Viewpoint. Cambridge, MA: MIT Press, 1993.
41. K. Wiesent, K. Barth, N. Navab, T. Brunner, and W. Scissler, Enhanced 3D-reconstruction algorithms for C-arm based interventional procedures, in Proc. 1999 Int. Mtg. Fully Three-Dimensional Image Reconstruct. Radial. Nuclear Med., Egmond aan Zee, June 23-26, 1999, pp. 167-170.
42. N. Navab, A. Bani-Hashemi, M.S. Nadar, K. Wiesent, P. Durlak, T. Brunner, K. Barth, and R. Graumann, 3D reconstruction from projection matrices in a C-arm based 3D-angiography system, in MICCAI'98, Proceedings, W. M. Wells, A. Colchester, and S. Delp, Eds. New York: Springer, 1998, pp. 119-129.
43. B.M. Ohnesorge, T. Flohr, K. T. Bae, and J. P. Heiken, An efficient correction for artifacts in CT images caused by objects extending beyond the scanfield of view, RSNA 1998, Supplement to Radiology, vol. 209P, p. 435, Nov. 1998.
44. A. Faridani, E.R. Ritman, and K. T. Smith, Local tomography, SI AM J. Appl. Math., vol. 52, no. 2, pp. 459-84, April 1992.
45. K. Wiesent, R. Graumann, R. Fahrig, D.W. Holdsworth, A. J. Fox, N. Navab, and A. Bani-Hashemi, 3D-reconstruction during interventional neurological procedures, in Proc. 1997Int. Mtg. Fully Three-Dimensional Image Reconstruct. Radial. Nuclear Med., Nemacolin Woodlands, 1997.
46. G. Lauritsch and W. Härer, A theoretical framework for filtered backprojection in tomosynthesis, SPIE, vol. 3338, Conf. Image Process., pp. 1127-1137, Feb. 1998.
47. M. Ingerhed, Fast backprojection for computed tomography, dissertation, Univ Linköping, 1999.
48. H. Turbell and P. Danielsson, Fast Feldkamp reconstruction, in Proc. 1999 Int. Mtg. Fully Three-Dimensional Image Reconstruct. Radiol. Nuclear Med., Egmond aan Zee, June 23-26, 1999, pp. 311-314.
49. T. Brunner, P. Durlak, K. Barth, K. Wiesent, R. Graumann, H. Barfu, A. Bani-Hashemi, N. Navab, and M. Nadar, 3D reconstruction of cerebral vessels based on a rotational angiography with a C-arm, ECR'99, Supplement 1 to Euro. Radial., vol. 9, p. 167, 1999.
50. U. Missler and T.E. Mayer, Clinical evaluation of 3D reconstructed rotational DSA for treatment planning of intracranial aneurysms, RSNA 98, Suppl. Radial, vol. 209P, p. 155, Nov. 1998.
51. M. Skalej, U. Ernemann, and K. Barth, 3D-reconstructions of intracranial vessel trees based on a rotational angiography imaging system, RSNA 98, Suppl. Radial., vol. 209P, p. 156, Nov. 1998.
52. N. Navab, M. Mitschke, and O. Schütz, Camera-augmented mobile C-arm (CAMC) application: 3D reconstruction using a low cost mobile C-arm, in Medical Image Computing and Computer-Assisted Intervention-MICCAI '99, C. Taylor and A. Colchester, Eds. New York: Springer, 1999, pp. 688-697.