A CT-ultrasound-coregistered augmented reality enhanced image-guided surgery system and its preliminary study on brain-shift estimation

Journal of Instrumentation

Volumn 7, Issue 8, 2012, Pages

  Huang, H ^a   Hsieh, H ^a   Lee, D ^a   Huang, C ^a   Lee, T ^b   Wu, T ^b,d   Sun, N ^c  

^a CHANG GUNG UNIVERSITY   (Taiwan)

^b CHANG GUNG MEMORIAL HOSPITAL   (Taiwan)

^c NATIONAL CHENG KUNG UNIVERSITY   (Taiwan)

^d NATIONAL YANG MING UNIVERSITY   (Taiwan)

Author keywords

Algoritms and Software for radiotherapy; Calibration and fitting methods; Cluster finding; computer aided so; Medical image reconstruction methods and algorithms; Multi modality systems; Pattern recognition

Indexed keywords

EID: 84865248399     PISSN: None     EISSN: 17480221     Source Type: Journal    
DOI: 10.1088/1748-0221/7/08/P08016     Document Type: Article

References (22)

1. T.-H. Wu et al. 2009 Integration of PET-CT and cone-bean CT for image-guided radiotherapy with high image quality and registration accuracy, JINST 4 P07006
2. J.-D. Lee, C.-H. Huang and S.-T. Lee 2002 Improving stereotactic surgery using 3-D reconstruction, IEEE Eng. Med. Biol. Mag. 21 109 (Pubitemid 36215913)
3. M.M. Letteboer, P.W. Willems and W.J. Niessen 2005 Brain shift estimation in image-guided neurosurgery using 3-D ultrasound, IEEE Trans. Biomed. Eng. 52 268 (Pubitemid 40188675)
4. X. Huang, J. Ren, G. Guiraudon, D. Boughner and T.M. Peters 2009 Rapid dynamic image registration of the beating heart for diagnosis and surgical navigation, IEEE Trans. Med. Imaging 28 1802
5. N.A. Sadeghi, R.V. Patel and A. Samani 2010 CT-enhanced ultrasound image of a totally deflated lung for image-guided minimally invasive tumor ablative procedures, IEEE Trans. Med. Imaging 57 2627
6. W. Wein, O. Kutter, A. Aichert, D. Zikic, A. Kamen and N. Navab 2010 Automatic non-linear mapping of pre-procedure CT volumes to 3D ultrasound, in the proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: from Nano to Macro, April 14-17, Princeton U.S.A.
7. W. Lorensen et al. 1993 Enhancing reality in the operating room, IEEE Visual. 410
8. A. State et al. 1996 Technologies for augmented reality systems: realizing ultrasound guided needle biopsies, Comp. Graph. 30 439
9. Y.-S. Tseng et al. 2011 A pattern-less medical augmented reality system for craniofacial applications, ICIC Express Lett. 6 549
10. T. Blum, S. M. Heining, O. Kutter and N. Navab 2009 Advanced training methods using an augmented reality ultrasound simulator, in the proceedings of the 8th IEEE Internation Symposium on Mixed and Augmentes Reality, October 19-2, Munich, Germany
11. Northern Digital Inc., http://www.ndidigital.com/
12. H. Zhang, F. Banovac, K. Cleary and A. White 2007 Freehand 3D ultrasound calibration using an electromagnetically tracked needle, SPIE Proc. 6141 775
13. W. M. Donald 1963 An algorithm for least-squares estimation of nonlinear parameters, J. Soc. Ind. Appl. Math. 431
14. O.V. Solberg et al. 2007 Freehand 3D ultrasound reconstruction algorithms - - A review, Ultrasound Med. Biol. 33 991 (Pubitemid 47002137)
15. rd International Congress on Image and Signal Processing, October 16-18, Harbin, China
16. P. Karaiskos et al. 2009 On the accuracy of a mutual information algorithm for PET-MR image registration, JINST 4 P07008
17. Insight Segmentation and Registration Toolkit., http://www.itk.org/
18. Artoolkit 2002, http://www.washington.edu/ARTOOLKIT/
19. Vuzix Inc., http://www.vuzix.com/home/
20. T. Shen, H. Li and X. Huang 2011 Active volume models for medical image segmentation, IEEE Trans. Med. Imaging 30 774
21. P. Korfiatis et al. 2009 Exploiting unsupervised and supervised classification for segmentation of the pathological lung in CT, JINST 4 P07013
22. F. Maes et al. 1997 Multimodality image registration by maximization of mutual information, IEEE Trans. Med. Imaging 16 187