Biomedical Engineering Reference
In-Depth Information
39. L.I. Cervino, J. Du, S.B. Jiang, MRI-guided tumor tracking in lung cancer radiotherapy. Phy.
Med. Biol. 56(13), 3773-3785 (2011)
40. E.W. Pepina, H. Wu, H. Shirato, Dynamic gating window for compensation of baseline shift
in respiratory-gated radiation therapy. Med. Phys. 38(4), 1912-1918 (2011)
41. P.R. Poulsenb, B. Cho, A. Sawant, D. Ruan, P.J. Keall, Detailed analysis of latencies in
image-based dynamic MLC tracking. Med. Phys. 37(9), 4998-5005 (2010)
42. T. Roland, P. Mavroidis, C. Shi, N. Papanikolaou, Incorporating system latency associated
with real-time target tracking radiotherapy in the dose prediction step. Phys. Med. Biol.
55(9), 2651-2668 (2010)
43. D. Yang, W. Lu, D.A. Low, J.O. Deasy, A.J. Hope, I. El Naqa, 4D-CT motion estimation
using deformable image registration and 5D respiratory motion modeling. Med. Phys. 35(10),
4577-4590 (2008)
44. M. Schwarz, J.V.D. Geer, M.V. Herk, J.V. Lebesque, B.J. Mijnheer, E.M.F. Damen, Impact
of geometrical uncertainties on 3D CRT and IMRT dose distributions for lung cancer
treatment. Int. J. Radiat. Oncol. Biol. Phys. 65(4), 1260-1269 (2006)
45. M. Kakar, H. Nyst¨om, L.R. Aarup, T.J. Nøttrup, D.R. Olsen, Respiratory motion prediction
by using the adaptive neuro fuzzy inference system (ANFIS). Phys. Med. Biol. 50(19),
4721-4728 (2005)
46. J. Wilbert, J. Meyer, K. Baier, M. Guckenberger, C. Herrmann, R. Hess, C. Janka, L. Ma, T.
Mersebach, A. Richter, M. Roth, K. Schilling, M. Flentje, Tumor tracking and motion
compensation with an adaptive tumor tracking system (ATTS) System description and
prototype testing. Med. Phys. 35(9), 3911-3921 (2008)
47. I. Buzurovic, T.K. Podder, K. Huang, Y. Yu, Tumor motion prediction and tracking in
adaptive radiotherapy. IEEE Int. Conf. Bioinform. Bioeng. 273-278 (2010)
48. R. Zeng, J.A. Fessler, J.M. Balter, Estimating 3-D respiratory motion from orbiting views by
tomographic image registration. IEEE Trans. Med. Imag. 26(2), 153-163 (2007)
49. W. Bai, S.M. Brady, Motion correction and attenuation correction for respiratory gated PET
images. IEEE Trans. Med. Imag. 30(2), 351-365 (2011)
50. D. Sarrut, B. Delhay, P. Villard, V. Boldea, M. Beuve, P. Clarysse, A comparison framework
for breathing motion estimation methods from 4-D imaging. IEEE Trans. Med. Imag. 26(12),
1636-1648 (2007)
51. J. Ehrhardt, R. Werner, A. Schmidt-Richberg, H. Handels, statistical modeling of 4D
respiratory lung motion using diffeomorphic image registration. IEEE Trans. Med. Imag.
30(2), 251-265 (2011)
52. A.P. King, K.S. Rhode, R.S. Razavi, T.R. Schaeffter, An adaptive and predictive respiratory
motion model for image-guided interventions: theory and first clinical application. IEEE
Trans. Med. Imag. 28(12), 2020-2032 (2009)
53. N.A. Ablitt, J. Gao, J. Keegan, L. Stegger, D.N. Firmin, G.-Z. Yang, Predictive cardiac
motion modeling and correction with partial least squares regression. IEEE Trans. Med.
Imag. 23(10), 1315-1324 (2004)
54. K. Nakagawa, K. Yoda, Y. Masutani, K. Sasaki, K. Ohtomo, A rod matrix compensator for
small-field intensity modulated radiation therapy: a preliminary phantom study. IEEE Trans.
Biomed. Eng. 54(5), 943-946 (2007)
55. V. Agostini, M. Knaflitz, F. Molinari, Motion artifact reduction in breast dynamic infrared
imaging. IEEE Trans. Biomed. Eng. 56(3), 903-906 (2009)
56. H. Tadayyon, A. Lasso, A. Kaushal, P. Guion, G. Fichtinger, Target motion tracking in MRI-
guided transrectal robotic prostate biopsy. IEEE Trans. Biomed. Eng. 58(11), 3135-3142
(2011)
57. J. He, G.J. O'Keefe, S.J. Gong, G. Jones, T. Saunder, A.M. Scott, M. Geso, A novel method
for respiratory motion gated with geometric Sensitivity of the scanner in 3D PET. IEEE
Trans. Nucl. Sci. 55(5), 2557-2565 (2008)
58. A.S. Naini, T.-Y. Lee, R.V. Patel, A. Samani, Estimation of lung's air volume and its
variations throughout respiratory CT image sequences. IEEE Trans. Biomed. Eng. 58(1),
152-158 (2011)
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