Computational Challenges for Image-Guided Radiation Therapy: Framework and Current Research

Seminars in Radiation Oncology

Volumn 17, Issue 4, 2007, Pages 245-257

  Xing, Lei ^a   Siebers, Jeffrey ^b   Keall, Paul ^a  

^a STANFORD UNIVERSITY   (United States)

^b VIRGINIA COMMONWEALTH UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACCURACY; ALGORITHM; ARTICLE; CALCULATION; CANCER RADIOTHERAPY; COMPUTER; COMPUTER PROGRAM; DOSIMETRY; HUMAN; IMAGE GUIDED RADIATION THERAPY; IMAGE PROCESSING; IMAGE QUALITY; LINEAR ACCELERATOR; MATHEMATICAL ANALYSIS; PRIORITY JOURNAL; RELIABILITY; TREATMENT PLANNING;

ALGORITHMS; DIAGNOSTIC IMAGING; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; NEOPLASMS; RADIOTHERAPY; RADIOTHERAPY DOSAGE; RADIOTHERAPY PLANNING, COMPUTER-ASSISTED; REPRODUCIBILITY OF RESULTS; SOFTWARE;

EID: 34548814455     PISSN: 10534296     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.semradonc.2007.07.004     Document Type: Article

References (121)

1. Mackie T.R., Kapatoes J., Ruchala K., et al. Image guidance for precise conformal radiotherapy. Int J Radiat Oncol Biol Phys 56 (2003) 89-105
2. Xing L., Thorndyke B., Schreibmann E., et al. Overview of image-guided radiation therapy. Med Dosim 31 (2006) 91-112
3. Keall P. 4-dimensional computed tomography imaging and treatment planning. Semin Radiat Oncol 14 (2004) 81-90
4. Foskey M., Davis B., Goyal L., et al. Large deformation three-dimensional image registration in image-guided radiation therapy. Phys Med Biol 50 (2005) 5869-5892
5. Christensen G.E., Carlson B., Chao K.S., et al. Image-based dose planning of intracavitary brachytherapy: registration of serial-imaging studies using deformable anatomic templates. Int J Radiat Oncol Biol Phys 51 (2001) 227-243
6. Lu W., Chen M.L., Olivera G.H., et al. Fast free-form deformable registration via calculus of variations. Phys Med Biol 49 (2004) 3067-3087
7. Pelizzari C.A. Image processing in stereotactic planning: volume visualization and image registration. Med Dosim 23 (1998) 137-145
8. Thorndyke B., Schreibmann E., Maxim P., et al. Enhancing 4D PET through retrospective stacking. Med Phys 32 (2005) 2096
9. Li T., Schreibmann E., Thorndyke B., et al. Radiation dose reduction in 4D computed tomography. Med Phys 32 (2005) 3650-3660
10. Lu W., Olivera G.H., Chen Q., et al. Automatic re-contouring in 4D radiotherapy. Phys Med Biol 51 (2006) 1077-1099
11. Chao M., Schreibmann E., Li T., et al. Knowledge-Based Auto-Contouring in 4D Radiation Therapy. 2006 AAPM Annual Meeting, July 30-August 3. Orlando, FL (2006)
12. Yang Y., Schreibmann E., Li T., et al. Evaluation of on-board kV cone beam CT (CBCT)-based dose calculation. Phys Med Biol 52 (2007) 685-706
13. de la Zerda A., Armbruster B., and Xing L. Formulating adaptive radiation therapy planning into closed-loop control framework. Phys Med Biol 52 (2007) 4137-4153
14. de la Zerda A., Armbruster B., and Xing L. Inverse planning for adaptive radiation therapy using dynamic algorithm. Int J Radiat Oncol Biol Phys 66 (2006) S123-S124
15. Keall P.J., Joshi S., Vedam S.S., et al. Four-dimensional radiotherapy planning for DMLC-based respiratory motion tracking. Med Phys 32 (2005) 942-951
16. Rosu M., Balter J.M., Chetty I.J., et al. How extensive of a 4D dataset is needed to estimate cumulative dose distribution plan evaluation metrics in conformal lung therapy?. Med Phys 34 (2007) 233-245
17. Langen K.M., Meeks S.L., Poole D.O., et al. The use of megavoltage CT (MVCT) images for dose recomputations. Phys Med Biol 50 (2005) 4259-4276
18. Li T., Schreibmann E., Yang Y., et al. Motion correction for improved target localization with on-board cone-beam computed tomography. Phys Med Biol 51 (2006) 253-267
19. Li T., Xing L., McGuinness C., et al. Four-dimensional cone-beam CT using an on-board imager. Med Phys 33 (2006) 3825-3833
20. Li T., Thorndyke B., Schreibmann E., et al. Model-based image reconstruction for four-dimensional PET. Med Phys 33 (2006) 1288-1298
21. Zeng R., Fessler J.A., and Balter J.M. Estimating 3-D respiratory motion from orbiting views by tomographic image registration. IEEE Trans Med Imaging 26 (2007) 153-163
22. Bajcsy R., and Kovacic S. Multiresolution elastic matching. Comput Vis Graphics Image Processing 46 (1989) 1-21
23. Gee J.C., Haynor D.R., Reivich M., et al. Finite element approach to warping of brain images. Proceed SPIE Med Imaging 2167 (1994) 18-27
24. Gee J.C., Reivich M., and Bajcsy R. Elestically deforming 3D atlas to match anatomical brain images. J Comput Assist Tomogr 17 (1993) 225-236
25. Christensen G.E., Rabitt R.D., and Miller M.I. Deformable templates using large deformable kinematics. IEEE Trans Med Imaging 5 (1996) 1435-1447
26. Thirion J.P. Image matching as the diffusion process: an analogy with Maxwell's demons. Med Image Anal 2 (1998) 243-260
27. Huang T.C., Zhang G., Guerrero T., et al. Semi-automated CT segmentation using optic flow and Fourier interpolation techniques. Comput Methods Programs Biomed 84 (2006) 124-134
28. Wang H., Dong L., Lii M.F., et al. Implementation and validation of a three-dimensional deformable registration algorithm for targeted prostate cancer radiotherapy. Int J Radiat Oncol Biol Phys 61 (2005) 725-735
29. Brock K.M., Balter J.M., Dawson L.A., et al. Automated generation of a four-dimensional model of the liver using warping and mutual information. Med Phys 30 (2003) 1128-1133
30. Schreibmann E., and Xing L. Image registration with auto-mapped control volumes. Med Phys 33 (2006) 1165-1179
31. Schreibmann E., Yang Y., Boyer A., et al. Image interpolation in 4D CT using a BSpline Deformable Registration Model. Med Phys 32 (2005) 1924
32. Coselmon M.M., Balter J.M., McShan D.L., et al. Mutual information based CT registration of the lung at exhale and inhale breathing states using thin-plate splines. Med Phys 31 (2004) 2942-2948
33. Bookstein F.L. Principal warping: Thin plate splines and the decomposition of deformations. IEEE Trans Pattern Anal Mach Intell 11 (1989) 567-585
34. Lian J., Xing L., Hunjan S., et al. Mapping of the prostate in endorectal coil-based MRI/MRSI and CT: A deformable registration and validation study. Med Phys 31 (2004) 3087-3094
35. Brock K.K., Hollister S.J., Dawson L.A., et al. Technical note: creating a four-dimensional model of the liver using finite element analysis. Med Phys 29 (2002) 1403-1405
36. Fei B., Kemper C., and Wilson D.L. A comparative study of warping and rigid body registration for the prostate and pelvic MR volumes. Comput Med Imaging Graph 4 (2003) 267-281
37. Schreibmann E., Chen G.T., and Xing L. Image interpolation in 4D CT using a BSpline deformable registration model. Int J Radiat Oncol Biol Phys 64 (2006) 1537-1550
38. Xie Y., Schreibmann E., Kamath S., et al. Incorporating a priori knowledge into thin plate spline deformable registration. 2007 AAPM Annual Meeting, July 22-26. Minneapolis, MN (2007)
39. Cootes A., Hill C., Taylor J., et al. The use of active shape models for locating structures in medical images. Image Vis Comput 12 (1994) 355-366
40. Ritchie C.J., Hsieh J., Gard M.F., et al. Predictive respiratory gating: A new method to reduce motion artifacts on CT scans. Radiology 190 (1994) 847-852
41. Vedam S.S., Keall P.J., Kini V.R., et al. Acquiring a four-dimensional computed tomography dataset using an external respiratory signal. Phys Med Biol 48 (2003) 45-62
42. Nehmeh S.A., Erdi Y.E., Pan T., et al. Four-dimensional (4D) PET/CT imaging of the thorax. Med Phys 31 (2004) 3179-3186
43. Dietrich L., Jetter S., Tucking T., et al. Linac-integrated 4D cone beam CT: first experimental results. Phys Med Biol 51 (2006) 2939-2952
44. Li T., Schreibmann E., Thorndyke B., et al. Radiation dose reduction in four-dimensional computed tomography. Med Phys 32 (2005) 3650-3660
45. Lu W., and Mackie T.R. Tomographic motion detection and correction directly in sonogram space. Phys Med Biol 47 (2002) 1267-1284
46. Li T., Xing L., Munro P., et al. Four-dimensional cone-beam computed tomography using an on-board imager. Med Phys 33 (2006) 3825-3833
47. Sonke J.J., Zijp L., Remeijer P., et al. Respiratory correlated cone beam CT. Med Phys 32 (2005) 1176-1186
48. Vedam S.S., Keall P.J., Kini V.R., et al. Acquiring a four-dimensional computed tomography dataset using an external respiratory signal. Phys Med Biol 48 (2003) 45-62
49. Rietzel E., Chen G.T., Choi N.C., et al. Four-dimensional image-based treatment planning: Target volume segmentation and dose calculation in the presence of respiratory motion. Int J Radiat Oncol Biol Phys 61 (2005) 1535-1550
50. Ford E.C., Mageras G.S., Yorke E., et al. Respiration-correlated spiral CT: a method of measuring respiratory-induced anatomic motion for radiation treatment planning. Med Phys 30 (2003) 88-97
51. Guerrero T.M., Zhang G., Huang T.C., et al. Intrathoracic tumour motion estimation from CT imaging using the 3D optical flow method. Phys Med Biol 49 (2004) 4147-4161
52. Ragan D., Starkschall G., McNutt T., et al. Semiautomated four-dimensional computed tomography segmentation using deformable models. Med Phys 32 (2005) 2254-2261
53. McInerney T., and Terzopoulos D. Deformable models in medical image analysis. Med Image Anal 1 (1996) 91-108
54. Chakraborty A., Staib L.H., and Duncan J.S. An integrated Approach for Surface Finding in Medical Images. IEEE Workshop Mathematical Methods in Biomedical Image Analysis (1996) 253-262
55. Montagnat J., Delingette H., and Ayache N. A review of deformable surfaces: Topology, geometry and deformation. Image Vis Comput 19 (2001) 1023-1040
56. Montagnat J., and Delingette H. 4D deformable models with temporal constraints: Application to 4D cardiac image segmentation. Med Image Anal 9 (2005) 87-100
57. Paganetti H., Jiang H., and Trofimov A. 4D Monte Carlo simulation of proton beam scanning: Modeling of variations in time and space to study the interplay between scanning pattern and time-dependent patient geometry. Phys Med Biol 50 (2005) 983-990
58. Wu Q., Liang J., and Yan D. Application of dose compensation in image-guided radiotherapy of prostate cancer. Phys Med Biol 51 (2006) 1405-1419
59. Mohan R., Zhang X., Wang H., et al. Use of deformed intensity distributions for on-line modification of image-guided IMRT to account for interfractional anatomic changes. Int J Radiat Oncol Biol Phys 61 (2005) 1258-1266
60. de la Zerda A., Ambrush B., and Xing L. Inverse Planning for Adaptive Radiation Therapy Using Dynamic Programming. Annual Meeting of ASTRO vol 32 (2006), Elsevier, Philadelphia, PA. New York, NY 2163
61. Lu W., Chen M.L., Olivera G.H., et al. Fast free-form deformable registration via calculus of variations. Phys Med Biol 49 (2004) 3067-3087
62. Yan D., Vicini F., Wong J., et al. Adaptive radiation therapy. Phys Med Biol 42 (1997) 123-132
63. Keller H., Ritter M.A., and Mackie T.R. Optimal stochastic correction strategies for rigid-body target motion. Int J Radiat Oncol Biol Phys 55 (2003) 261-270
64. Schweikard A., Glosser G., Bodduluri M., et al. Robotic motion compensation for respiratory movement during radiosurgery. Comput Aided Surg 5 (2000) 263-277
65. Schweikard A., Shiomi H., and Adler J. Respiration tracking in radiosurgery. Med Phys 31 (2004) 2738-2741
66. Uematsu M. CT-guided focal high dose radiotherapy. (ed 4). Takahashi International Workshop on 3 Dimensional Conformal Radiotherapy, December 8-12. Nagoya, Japan (2002)
67. D'Souza W.D., Naqvi S.A., and Yu C.X. Real-time intra-fraction-motion tracking using the treatment couch: A feasibility study. Phys Med Biol 50 (2005) 4021-4033
68. Keall P.J., Kini V.R., Vedam S.S., et al. Motion adaptive x-ray therapy: A feasibility study. Phys Med Biol 46 (2001) 1-10
69. Suh Y., Yi B., Ahn S., et al. Aperture maneuver with compelled breath (AMC) for moving tumors: A feasibility study with a moving phantom. Med Phys 31 (2004) 760-766
70. Neicu T., Shirato H., Seppenwoolde Y., et al. Synchronized moving aperture radiation therapy (SMART): Average tumour trajectory for lung patients. Phys Med Biol 48 (2003) 587-598
71. Langer M., Thai V., Papiez L., et al. Improved leaf sequencing reduces segments or monitor units needed to deliver IMRT using multileaf collimators. Med Phys 28 (2001) 2450-2458
72. Shirato H., Shimizu S., Kunieda T., et al. Physical aspects of a real-time tumor-tracking system for gated radiotherapy. Int J Radiat Oncol Biol Phys 48 (2000) 1187-1195
73. Balter J.M., Sandler H.M., Lam K., et al. Measurement of prostate movement over the course of routine radiotherapy using implanted markers. Int J Radiat Oncol Biol Phys 31 (1995) 113-118
74. Crook J.M., Raymond Y., Salhani D., et al. Prostate motion during standard radiotherapy as assessed by fiducial markers. Radiother Oncol 37 (1995) 35-42
75. Murphy M.J., Adler Jr. J.R., Bodduluri M., et al. Image-guided radiosurgery for the spine and pancreas. Comput Aided Surg 5 (2000) 278-288
76. Koong A.C., Le Q.T., Ho A., et al. Phase I study of stereotactic radiosurgery in patients with locally advanced pancreatic cancer. Int J Radiat Oncol Biol Phys 58 (2004) 1017-1021
77. Ozhasoglu C., and Murphy M.J. Issues in respiratory motion compensation during external-beam radiotherapy. Int J Radiat Oncol Biol Phys 52 (2002) 1389-1399
78. Murphy M.J., Martin D., Whyte R., et al. The effectiveness of breath-holding to stabilize lung and pancreas tumors during radiosurgery. Int J Radiat Oncol Biol Phys 53 (2002) 475-482
79. Vedam S.S., Kini V.R., Keall P.J., et al. Quantifying the predictability of diaphragm motion during respiration with a noninvasive external marker. Med Phys 30 (2003) 505-513
80. Murphy M.J., Chang S.D., Gibbs I.C., et al. Patterns of patient movement during frameless image-guided radiosurgery. Int J Radiat Oncol Biol Phys 55 (2003) 1400-1408
81. Shimizu S., Shirato H., Kitamura K., et al. Use of an implanted marker and real-time tracking of the marker for the positioning of prostate and bladder cancers. Int J Radiat Oncol Biol Phys 48 (2000) 1591-1597
82. Schweikard A., Glosser G., Bodduluri M., et al. Robotic motion compensation for respiratory movement during radiosurgery. Comput Aided Surg 5 (2000) 263-277
83. Murphy M.J. Tracking moving organs in real time. Semin Radiat Oncol 14 (2004) 91-100
84. Schweikard A., Schiomi H., and Adler J. Respiration tracking in radiosurgery. Med Phys 31 (2004) 2738-2741
85. Weiss E., Vorwerk H., Richter S., et al. Interfractional and intrafractional accuracy during radiotherapy of gynecologic carcinomas: A comprehensive evaluation using the ExacTrac system. Int J Radiat Oncol Biol Phys 56 (2003) 69-79
86. Willoughby T.R., Forbes A.R., Buchholz D., et al. Evaluation of an infrared camera and x-ray system using implanted fiducials in patients with lung tumors for gated radiotherapy. Int J Radiat Oncol Biol Phys 66 (2006) 568-575
87. Langen K.M., Pouliot J., Anezinos C., et al. Evaluation of ultrasound-based prostate localization for image-guided radiotherapy. Int J Radiat Oncol Biol Phys 57 (2003) 635-644
88. Scarbrough T.J., Golden N.M., Ting J.Y., et al. Comparison of ultrasound and implanted seed marker prostate localization methods: Implications for image-guided radiotherapy. Int J Radiat Oncol Biol Phys 65 (2006) 378-387
89. Xu T., Wong J.T., Shikhaliev P.M., et al. Real-time tumor tracking using implanted positron emission markers: Concept and simulation study. Med Phys 33 (2006) 2598-2609
90. Lu W., Ruchala K.J., Chen M.-L., et al. Real-time respiration monitoring using the radiotherapy treatment beam and four-dimensional computed tomography (4DCT)-A conceptual study. Phys Med Biol 51 (2006) 4469-4495
91. Neicu T., Berbeco R., Wolfgang J., et al. Synchronized moving aperture radiation therapy (SMART): Improvement of breathing pattern reproducibility using respiratory coaching. Phys Med Biol 51 (2006) 617-636
92. Willoughby T.R., Kupelian P.A., Pouliot J., et al. Target localization and real-time tracking using the Calypso 4D localization system in patients with localized prostate cancer. Int J Radiat Oncol Biol Phys 65 (2006) 528-534
93. Nise N.S. Control Systems Engineering. (ed 4) (2004), Wiley, Hoboken, NJ
94. Ma C.M., Pawlicki T., Jiang S.B., et al. Monte Carlo verification of IMRT dose distributions from a commercial treatment planning optimization system. Phys Med Biol 45 (2000) 2483-2495
95. Wang L., Yorke E., and Chui C.S. Monte Carlo evaluation of 6 MV intensity modulated radiotherapy plans for head and neck and lung treatments. Med Phys 29 (2002) 2705-2717
96. Francescon P., Cavedon C., Reccanello S., et al. Photon dose calculation of a three-dimensional treatment planning system compared to the Monte Carlo code BEAM. Med Phys 27 (2000) 1579-1587
97. Francescon P., Cora S., and Chiovati P. Dose verification of an IMRT treatment planning system with the BEAM EGS4-based Monte Carlo code. Med Phys 30 (2003) 144-157
98. Pawlicki T., and Ma C.M. Monte Carlo simulation for MLC-based intensity-modulated radiotherapy. Med Dosim 26 (2001) 157-168
99. Dogan N., Siebers J.V., Keall P.J., et al. Improving IMRT dose accuracy via deliverable Monte Carlo optimization for the treatment of head and neck cancer patients. Med Phys 33 (2006) 4033-4043
100. Sakthi N., Keall P., Mihaylov I., et al. Monte Carlo-based dosimetry of head-and-neck patients treated with SIB-IMRT. Int J Radiat Oncol Biol Phys 64 (2006) 968-977
101. Yorke E.D., Wang L., Rosenzweig K.E., et al. Evaluation of deep inspiration breath-hold lung treatment plans with Monte Carlo dose calculation. Int J Radiat Oncol Biol Phys 53 (2002) 1058-1070
102. Vanderstraeten B., Reynaert N., Paelinck L., et al. Accuracy of patient dose calculation for lung IMRT: A comparison of Monte Carlo, convolution/superposition, and pencil beam computations. Med Phys 33 (2006) 3149-3158
103. Mihaylov I.B., Lerma F.A., Fatyga M., et al. Quantification of the impact of MLC modeling and tissue heterogeneities on dynamic IMRT dose calculations. Med Phys 34 (2007) 1244-1252
104. Siebers J.V., Lauterbach M., Keall P.J., et al. Incorporating multi-leaf collimator leaf sequencing into iterative IMRT optimization. Med Phys 29 (2002) 952-959
105. Martens C., Reynaert N., De Wagter C., et al. Underdosage of the upper-airway mucosa for small fields as used in intensity-modulated radiation therapy: A comparison between radiochromic film measurements, Monte Carlo simulations, and collapsed cone convolution calculations. Med Phys 29 (2002) 1528-1535
106. Jeraj R., Keall P.J., and Siebers J.V. The effect of dose calculation accuracy on inverse treatment planning. Phys Med Biol 47 (2002) 391-407
107. Deng J., Pawlicki T., Chen Y., et al. The MLC tongue-and-groove effect on IMRT dose distributions. Phys Med Biol 46 (2001) 1039-1060
108. Luo W., Li J., Price Jr. R.A., et al. Monte Carlo based IMRT dose verification using MLC log files and R/V outputs. Med Phys 33 (2006) 2557-2564
109. Litzenberg D.W., Moran J.M., and Fraass B.A. Verification of dynamic and segmental IMRT delivery by dynamic log file analysis. J Appl Clin Med Phys 3 (2002) 63-72
110. Litzenberg D.W., Moran J.M., and Fraass B.A. Incorporation of realistic delivery limitations into dynamic MLC treatment delivery. Med Phys 29 (2002) 810-820
111. Litzenberg D.W., Hadley S.W., Tyagi N., et al. Synchronized dynamic dose reconstruction. Med Phys 34 (2007) 91-102
112. Jiang S.B., Pope C., Al Jarrah K.M., et al. An experimental investigation on intra-fractional organ motion effects in lung IMRT treatments. Phys Med Biol 48 (2003) 1773-1784
113. Berbeco R.I., Pope C.J., and Jiang S.B. Measurement of the interplay effect in lung IMRT treatment using EDR2 films. J Appl Clin Med Phys 7 (2006) 33-42
114. Paganetti H., Jiang H., Adams J.A., et al. Monte Carlo simulations with time-dependent geometries to investigate effects of organ motion with high temporal resolution. Int J Radiat Oncol Biol Phys 60 (2004) 942-950
115. Kawrakow I., and Fippel M. VMC++, a fast MC algorithm for radiation treatment planning. In: Schlegel W., and Bortfeld T. (Eds). XIII International Conference on the Use of Computers in Radiation Therapy. Heidelberg, Germany, Springer-Verlag (2000) 126-128
116. Siebers J.V., and Kawrakow I. Performance of a hybrid MC dose algorithm for IMRT optimization dose evaluation. Med Phys 34 (2007) 2853
117. Keall P.J., Siebers J.V., Joshi S., et al. Monte Carlo as a four-dimensional radiotherapy treatment-planning tool to account for respiratory motion. Phys Med Biol 49 (2004) 3639-3648
118. Paganetti H. Four-dimensional Monte Carlo simulation of time-dependent geometries. Phys Med Biol 49 (2004) N75-N81
119. Jiang H., and Paganetti H. Adaptation of GEANT4 to Monte Carlo dose calculations based on CT data. Med Phys 31 (2004) 2811-2818
120. Jaffray D.A., Siewerdsen J.H., Wong J.W., et al. Flat-panel cone-beam computed tomography for image-guided radiation therapy. Int J Radiat Oncol Biol Phys 53 (2002) 1337-1349
121. Yoo S., and Yin F.F. Dosimetric feasibility of cone-beam CT-based treatment planning compared to CT-based treatment planning. Int J Radiat Oncol Biol Phys 66 (2006) 1553-1561