On the performance of improved ICP algorithms for registration of intra-ultrasound with pre-MR images; A phantom study

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS

Volumn , Issue , 2012, Pages 4390-4393

  Farnia, Parastoo ^a   Ahmadian, Alireza ^a   Sedighpoor, Mahdi ^a   Khoshnevisan, Alireza ^b   Siyah Mansoory, Meysam ^a  

^a TEHRAN UNIVERSITY OF MEDICAL SCIENCES   (Iran)

^b TEHRAN UNIVERSITY OF MEDICAL SCIENCES   (Iran)

Author keywords

[No Author keywords available]

Indexed keywords

BRAIN PHANTOMS; CLINICAL SETTINGS; DE-NOISING; DENOISING METHODS; DIFFUSION FILTER; ICP ALGORITHMS; IMAGE-GUIDED NEUROSURGERY; INTRA-OPERATIVE; ITERATIVE CLOSEST POINT ALGORITHM; PHANTOM STUDIES; POINT-BASED; REAL TIME; SPECKLE NOISE; ULTRASOUND IMAGING;

IMAGE REGISTRATION; IMAGE SEGMENTATION; MAGNETIC RESONANCE IMAGING; NEUROSURGERY; STATISTICS; ULTRASONIC IMAGING;

ALGORITHMS;

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; ECHOGRAPHY; EQUIPMENT; HUMAN; IMAGE ENHANCEMENT; IMAGE QUALITY; IMAGE SUBTRACTION; METHODOLOGY; NUCLEAR MAGNETIC RESONANCE IMAGING; PREOPERATIVE CARE; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; PATTERN RECOGNITION, AUTOMATED; PHANTOMS, IMAGING; PREOPERATIVE CARE; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE; ULTRASONOGRAPHY;

MLCS; MLOWN;

EID: 84880945399     PISSN: 1557170X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/EMBC.2012.6346939     Document Type: Conference Paper

References (20)

1. D. W. Roberts, et al., "Intraoperative brain shift and deformation: a quantitative analysis of cortical displacement in 28 cases," Neurosurgery, vol. 43, p. 749, 1998.
2. A. Roche, et al., "Generalized correlation ratio for rigid registration of 3D ultrasound with MR images," 2000, pp. 203-220.
3. I. Reinertsen, et al., "Validation of vessel-based registration for correction of brain shift," Medical Image Analysis, vol. 11, pp. 374-388, 2007.
4. R. M. Comeau, et al., "Intraoperative ultrasound for guidance and tissue shift correction in image-guided neurosurgery," Medical Physics, vol. 27, p. 787, 2000.
5. J. Sutcliffe, "The value of Intraoperative ultrasound in neurosurgery," British journal of neurosurgery, vol. 5, pp. 169-178, 1991.
6. R. McLaughlin, et al., "A comparison of 2D-3D intensity-based registration and feature-based registration for neurointerventions," Medical Image Computing and Computer-Assisted Intervention-MICCAI 2002, pp. 517-524, 2002.
7. M. A. Audette, et al., "An algorithmic overview of surface registration techniques for medical imaging," Medical Image Analysis, vol. 4, pp. 201-217, 2000.
8. G. L. Scott "An algorithm for associating the features of two images," Proceedings: Biological Sciences, pp. 21-26, 1991.
9. N. A. Parra, "Rigid and non-rigid point-based medical image registration," 2009.
10. A. Myronenko and X. Song, "Point set registration: coherent point drift," Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol. 32, pp. 2262-2275, 2010.
11. P. J. Besl and N. D. McKay, "A method for registration of 3-D shapes," IEEE Transactions on pattern analysis and machine intelligence, vol. 14, pp. 239-256, 1992.
12. H. M. Kjer and J. Wilm, "Evaluation of surface registration algorithms for PET motion correction," 2010.
13. S. Rusinkiewicz and M. Levoy, "Efficient variants of the ICP algorithm," 2001, pp. 145-152.
14. P. Farnia, A. Ahmadian, et al," An efficient point based registration of intra-operative ultrasound images with MR images for computation of brain shift; A phantom study," EMBC 2011, pp. 8074 - 8077.
15. I. Reinertsen and D. Collins, "A realistic phantom for brain-shift simulations," Medical Physics, vol. 33, p. 3234, 2006.
16. P. Perona and J. Malik, "Scale-space and edge detection using anisotropic diffusion," Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol. 12, pp. 629-639, 1990.
17. J. Weickert, Anisotropic diffusion in image processing vol. 1: Teubner Stuttgart, 1998.
18. F. Catté, et al., "Image selective smoothing and edge detection by nonlinear diffusion," SIAM Journal on Numerical Analysis, pp. 182-193, 1992.
19. Y. Yu and S. T. Acton, "Speckle reducing anisotropic diffusion," Image Processing, IEEE Transactions on, vol. 11, pp. 1260-1270, 2002.
20. A. L. Yuille and N. M. Grzywacz, "The motion coherence theory," 1988, pp. 344-353.