Full text loading...
No data available.
Please log in to see this content.
You have no subscription access to this content.
No metrics data to plot.
The attempt to load metrics for this article has failed.
The attempt to plot a graph for these metrics has failed.
Evaluation of three-dimensional finite element-based deformable registration of pre- and intraoperative prostate imaging
1.“Cancer facts and figures,” American Cancer Society, Atlanta, Georgia 1997.
2.J. A. Talcott, P. Rieker, J. A. Clark, K. J. Propert, J. C. Weeks, C. J. Beard, K. I. Wishnow, I. Kaplan, K. R. Loughlin, J. P. Richie, and P. W. Kantoff, “Patient-reported symptoms after primary therapy for early prostate cancer: results of a prospective cohort study,” J. Clin. Oncol. 16, 275–1283 (1998).
3.A. V. D’Amico, R. Cormack, C. M. Tempany, S. Kumar, G. Topulos, H. M. Kooy, and C. N. Coleman, “Real-time magnetic resonance image-guided interstitial brachytherapy in the treatment of select patients with clinically localized prostate cancer,” Int. J. Radiat. Oncol., Biol., Phys. 42, 507–515 (1998).
4.D. Cheng and C. Tempany, “MR imaging of the prostate and bladder,” Semin Ultrasound CT MR 19, 67–89 (1998).
5.M. L. Schiebler, M. D. Schnall, H. M. Pollack, R. E. Lenkinski, J. E. Tomaszewski, A. J. Wein, R. Whittington, W. Rauschning, and H. Y. Kressel, “Current role of MR imaging in the staging of adenocarcinoma of the prostate,” Radiology 189, 339–352 (1993).
6.V. Narayana, P. L. Roberson, R. J. Winfield, and P. W. McLaughlin, “Impact of ultrasound and computed tomography prostate volume registration on evaluation of permanent prostate implants,” Int. J. Radiat. Oncol., Biol., Phys. 39, 341–364 (1997).
7.K. Kagawa, W. R. Lee, T. E. Schultheiss, M. A. Hunt, A. H. Shaer, and G. E. Hanks, “Initial clinical assessment of CT–MRI image fusion software in localization of the prostate for 3D conformal radiation therapy,” Int. J. Radiat. Oncol., Biol., Phys. 38, 319–325 (1997).
8.M. van Herk, A. Bruce, A. P. Kroes, T. Shouman, A. Touw, and J. V. Lebesque, “Quantification of organ motion during conformal radiotherapy of the prostate by three dimensional image registration,” Int. J. Radiat. Oncol., Biol., Phys. 33, 1311–1320 (1995).
9.M. Hirose, A. Bharatha, N. Hata, S. K. Warfield, and K. H. Zou, “Quantitative MRI assessment of prostate gland deformation before and during MRI-guided brachytherapy,” Radiological Society of North America (RSNA) Annual Meeting, 25–30 November, 2001.
10.M. Ferrant, S. Warfield, A. Nabavi, B. Macq, and R. Kikinis, Registration of 3D Intraoperative MR Images of the Brain Using a Finite Element Biomechanical Model, edited by A. M. DiGioia and S. Delp, presented at the 3rd International Conference on Medical Image Computing and Computer-assisted Intervention (MICCAI), Pittsburgh, PA, 2000 (Heidelberg, Springer-Verlag, 1999), pp. 19–28.
11.J. F. Schenck et al., “Superconducting open-configuration MR imaging system for image-guided therapy,” Radiology 195, 805–814 (1995).
12.D. Gering, A. Nabavi, R. Kikinis, W. E. L. Grimson, N. Hata, P. Everett, F. Jolesz, and W. Wells III, An Integrated Visualization System for Surgical Planning and Guidance Using Image Fusion and Interventional Imaging, edited by C. Taylor and A. Colchester, presented at the 2nd International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), Cambridge, England, 1999 (Heidelberg, Springer-Verlag, 1999), pp. 809–819.
13.S. Warfield, M. Ferrant, X. Galle, A. Nabavi, F. A. Jolesz, and R. Kikinis, Real-time Biomechanical Simulation of Volumetric Brain Deformation for Image Guided Neurosurgery, presented at the High Performance Networking and Computing Conference, Dallas, 2000.
14.M. Ferrant, B. Macq, A. Nabavi, and S. K. Warfield, Deformable Modeling for Characterizing Biomedical Shape Changes, edited by G. Borgefors, I. Nystrom, and G. Sanniti di Baja, DGCI2000: Discrete Geometry for Computer Imagery, Uppsala, Sweden, 2000 (Heidelberg, Springer, 2000), pp. 235–248.
15.A. P. Zijdenbos, B. M. Dawant, R. A. Margolin, and A. C. Palmer, “Morphometric analysis of white matter lesions in MR images: Method and validation,” IEEE Trans. Med. Imaging 13, 716–724 (1994).
16.L. R. Dice, “Measures of the amount of ecologic association between species,” Ecology 26, 297–302 (1945).
17.J. L. Fleiss, “Measuring agreement between two judges on the presence or absence of a trait,” Biometrics 31, 651–659 (1975).
18.L. Hubert, “Kappa revisited,” Psychol. Bull. 84, 289–297 (1977).
19.K. H. Zou and M. P. McDermott, “Higher-moment approaches to approximate interval estimation for a certain intraclass correlation coefficient,” Stat. Med. 18, 2051–2061 (1999).
20.J. J. Bartko, “Measurement and reliability: statistical thinking considerations,” Schizophr Bull. 17, 483–489 (1991).
21.M. A. Moerland, H. K. Wijrdeman, R. Beersma, C. J. Bakker, and J. J. Battermann, “Evaluation of permanent I-125 prostate implants using radiography and magnetic resonance imaging,” Int. J. Radiat. Oncol., Biol., Phys. 37, 927–933 (1997).
22.A. Hagemann, K. Rohr, H. S. Stiehl, U. Spetzger, and J. M. Gilsbach, “Biomechanical modeling of the human head for physically based, nonrigid image registration,” IEEE Trans. Med. Imaging 18, 875–884 (1999).
23.M. I. Miga, D. W. Roberts, F. E. Kennedy, L. A. Platenik, A. Hartov, K. E. Lunn, and K. D. Paulsen, “Modeling of retraction and resection for intraoperative updating of images,” Neurosurgery 49, 75–84 (2001).
24.J. Rexilius, S. K. Warfield, C. R. G. Guttmann, X. Wei, R. Benson, L. Wolfson, M. Shenton, H. Handels, and R. Kikinis, A Novel Nonrigid Registration Algorithm and Applications, edited by W. J. Niessen and M. A. Viergever, presented at the 4th International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), Utrecht, The Netherlands, 2001 (Heidelberg, Springer-Verlag, 2001), pp. 923–931.
25.K. Van Leemput, F. Maes, D. Vandermeulen, and P. Suetens, “Automated model-based tissue classification of MR images of the brain,” IEEE Trans. Med. Imaging 18, 897–908 (1999).
Article metrics loading...