A method for assessing voxel correspondence in longitudinal tumor imaging

Medical Physics

Volumn 38, Issue 5, 2011, Pages 2742-2753

  Hoisak, Jeremy D P ^a,b   Jaffray, David A ^a,b  

^a UNIVERSITY OF TORONTO   (Canada)

^b PRINCESS MARGARET HOSPITAL   (Canada)

Author keywords

correspondence; glioblastoma; histogram moments; response assessment; voxel similarity measures

Indexed keywords

CORRELATION METHODS; DEFORMATION; GRAPHIC METHODS; IMAGE ANALYSIS; MAGNETIC RESONANCE; MAGNETIC RESONANCE IMAGING; SENSITIVITY ANALYSIS; SIGNAL ANALYSIS; TUMORS; UNCERTAINTY ANALYSIS;

CORRESPONDENCE; GLIOBLASTOMAS; HISTOGRAM MOMENTS; RESPONSE ASSESSMENT; SIMILARITY MEASURE;

IMAGE ACQUISITION;

EID: 79959556928     PISSN: 00942405     EISSN: None     Source Type: Journal    
DOI: 10.1118/1.3578600     Document Type: Article

References (62)

1. P. Therasse, S. G. Arbuck, E. A. Eisenhauer, J. Wanders, R. S. Kaplan, L. Rubinstein, J. Verweij, M. van Glabbeke, A.T. van Oosterom, M. C. Christian, and S. G. Gwyther, New guidelines to evaluate the response to treatment in solid tumors., J. Natl. Cancer Inst. 92, 205-216 (2000). 10.1093/jnci/92.3.205 (Pubitemid 30099779)
2. A. B. Miller, B. Hogestraeten, M. Staquet, and A. Winkler, Reporting results of cancer treatment., Cancer 47, 207-214 (1981). 10.1002/1097- 0142(19810101)47:11.0.CO;2-T (Pubitemid 11167383)
3. G. Lucignani, B. A. Jereczek-Fossa, and R. Orecchia, The role of molecular imaging in precision radiation therapy for target definition, treatment planning optimization and quality control., Eur. J. Nucl. Med. Mol. Imaging 31, 1059-1063 (2004). 10.1007/s00259-004-1517-x (Pubitemid 39050171)
4. W. Weber, PET for response assessment in oncology: Radiotherapy and chemotherapy., Br. J. Radiol. Suppl. 28, 42-49 (2005). 10.1259/bjr/59640473 (Pubitemid 43154235)
5. Y. Cao, C. I. Tsien, V. Nagesh, L. Junck, R. Ten Haken, B. D. Ross, T. L. Chenevert, and T. S. Lawrence, Clinical investigation survival prediction in high-grade gliomas by MRI perfusion before and during early stage of RT., Int. J. Radiat. Oncol., Biol., Phys. 64, 876-885 (2006). 10.1016/j.ijrobp.2005.09.001 (Pubitemid 43183588)
6. T. L. Chenevert, L. D. Stegman, J. M. G. Taylor, Diffusion magnetic resonance imaging: An early surrogate marker of therapeutic efficacy in brain tumors., J. Natl. Cancer Inst. 92, 2029-2036 (2000). 10.1093/jnci/92.24.2029 (Pubitemid 32045900)
7. T. Sugahara, Y. Korogi, M. Kochi, I. Ikushima, Y. Shigematu, T. Hirai, T. Okuda, L. Liang, Y. Ge, Y. Komohara, Y. Ushio, and M. Takahashi, Usefulness of diffusion-weighted MRI with echo-planar techniques in the evaluation of cellularity in gliomas., J. Magn. Reson. 9, 53-60 (1999). 10.1002/(SICI)1522- 2586(199901)9:153::AID-JMRI73.0.CO;2-2 (Pubitemid 29068231)
8. S. M. Bentzen, Theragnostic imaging for radiation oncology: Dose-painting by numbers., Lancet Oncol. 6, 112-117 (2005). 10.1016/S1470-2045(05)01737-7 (Pubitemid 40197705)
9. A. L. Grosu, M. Souvatzoglou, B. Roper, M. Dobritz, N. Wiedenmann, V. Jacob, H. J. Wester, G. Reischl, H. J. Machulla, M. Schwaiger, M. Molls, and M. Piert, Hypoxia imaging with FAZA-PET and theoretical considerations with regard to dose painting for individualization of radiotherapy in patients with head and neck cancer., Int. J. Radiat. Oncol., Biol., Phys. 69, 541-551 (2007). 10.1016/j.ijrobp.2007.05.079 (Pubitemid 47380112)
10. M. Bruehlmeier, U. Roelcke, P. A. Schubiger, and S. M. Ametamey, Assessment of hypoxia and perfusion in human brain tumors using PET with 18F-fluoromisonidazole and 15O-H2O., J. Nucl. Med. 45, 1851-1859 (2004). (Pubitemid 47618442)
11. M. E. Juweid, S. Stroobants, O. S. Hoekstra, and F. M. Mottaghy, Use of positron emission tomography for response assessment of lymphoma: Consensus of the Imaging Subcommittee of International Harmonization Project in Lymphoma., J. Clin. Oncol. 25, 571-578 (2007). 10.1200/JCO.2006.08.2305 (Pubitemid 350002965)
12. L. M. Cher, C. Murone, N. Lawrentschuk, S. Ramdave, A. Papenfuss, A. Hannah, G. J. O'Keefe, J. I. Sachinidis, S. U. Berlangieri, G. Fabinyi, and A. M. Scott, Correlation of hypoxic cell fraction and angiogenesis with glucose metabolic rate in gliomas using 18F-fluoromisonidazole, 18F-FDG PET, and immunohistochemical studies., J. Nucl. Med. 47, 410-418 (2006). (Pubitemid 46768482)
13. K. Herrman, H. A. Wieder, A. K. Buck, and M. Schoffel, Early response assessment using 3'-deoxy-3'18Ffluorothymidine positron emission tomography in high-grade non-Hodgkin's lymphoma., Clin. Cancer Res. 12, 3552-3558 (2007). 10.1158/1078-0432.CCR-06-3025 (Pubitemid 46955115)
14. R. Perini, R. Choe, A. G. Yodh, C. Sehgal, C. R. Divgi, and M. A. Rosen, Non-invasive assessment of tumor neovasculature: Techniques and clinical applications., Cancer Metastasis Rev. 27, 615-630 (2008). 10.1007/s10555-008- 9147-6
15. J. M. Provenzale, S. Mukundan, and D. P. Barboriak, Diffusion-weighted and perfusion MR imaging for brain tumor characterization and assessment of treatment response., Radiology 239, 632-649 (2006). 10.1148/radiol.2393042031 (Pubitemid 43830599)
16. M. Castillo, J. K. Smith, L. Kwock, and K. Wilber, Apparent diffusion coefficients in the evaluation of high-grade cerebral gliomas., Am. J. Neuroradiol. 22, 60-64 (2001). (Pubitemid 32105356)
17. B. A. Moffat., Functional diffusion map: A noninvasive MRI biomarker for early stratification of clinical brain tumor response., Proc. Natl. Acad. Sci. 102, 5524-5529 (2005). 10.1073/pnas.0501532102 (Pubitemid 40530291)
18. B. Titz and R. Jeraj, An imaging-based tumour growth and treatment response model: investigating the effect of tumour oxygenation on radiation therapy response., Phys. Med. Biol. 53, 4471 (2008). 10.1088/0031-9155/53/17/001
19. D. Shen, Image registration by geometric moment invariant matching., Pattern Recogn. 40, 1161-1172 (2007). 10.1016/j.patcog.2006.08.012 (Pubitemid 44894477)
20. E. I. Zachariki., ORBIT: A multiresolution framework for deformable image registration of brain tumor images., IEEE Trans. Med. Imaging 27, 1003-1017 (2008).
21. A. Mohamed, E. I. Zachariki, and D. Shen, Deformable registration of tumor images via a statistical model of tumor-induced deformation., Med. Image Anal. 10, 1003-1017 (2006). 10.1016/j.media.2006.06.005 (Pubitemid 44375496)
22. K. Marias., Image analysis for assessing molecular activity changes in time-dependent geometries., IEEE Trans. Med. Imaging 24, 894-900 (2007). 10.1109/TMI.2005.848612 (Pubitemid 41118467)
23. A. Mang., Modelling tumour growth patterns with non-rigid image registration., Adv. Med. Eng. 114, 139-144 (2007).
24. W. R. Crum, Zen and the art of medical image registration: Correspondence, homology, and quality., Neuroimage 20, 1425-1437 (2003). 10.1016/j.neuroimage.2003.07.014 (Pubitemid 37468253)
25. S. A. Nehmeh, N. Y. Lee, H. Schroder, O. Squire, P. B. Zanzonico, Y. E. Erdi, C. Greco, G. Mageras, H. S. Pham, S. M. Larson, C. C. Ling, and J. L. Humm, Reproducibility of intratumor distribution of 18F-fluoromisonidazole in head and neck cancer., Int. J. Radiat. Oncol., Biol., Phys. 70, 235-242 (2008). 10.1016/j.ijrobp.2007.08.036 (Pubitemid 350251048)
26. A. L. Martel, M. S. Froh, D. B. Plewes, and D. C. Barber, Evaluating an optical flow-based registration algorithm for contrast enhanced magnetic resonance imaging of the breast., Phys. Med. Biol. 52, 3803-3816 (2007). 10.1088/0031-9155/52/13/010 (Pubitemid 46908596)
27. Y. Yang and L. Xing, Towards biologically conformal radiation therapy (BRCT): Selective IMRT dose escalation under the guidance of spatial morphology., Med. Phys. 32, 1473-1484 (2005). 10.1118/1.1924312 (Pubitemid 40880538)
28. Z. Lin, J. Mechalakos, S. Nehmeh, H. Schoder, N. Lee, J. Humm, and C. C. S. Ling, The influence of changes in tumor hypoxia on dose-painting treatment plans based on 18F-FMISO positron emission tomography., Int. J. Radiat. Oncol., Biol., Phys. 70, 1219-1228 (2008). 10.1016/j.ijrobp.2007.09.050 (Pubitemid 351296122)
29. B. Titz and R. Jeraj, An imaging-based tumour growth and treatment response model: Investigating the effect of tumour oxygenation on radiation therapy response., Phys. Med. Biol. 53, 4471-4488 (2008). 10.1088/0031-9155/53/ 17/001
30. E. Hadgidemetriou, M. D. Grossberg, and S. K. Nayar, Multiresolution histograms and their use for recognition., IEEE Trans. Pattern Anal. Mach. Intell. 26, 831-847 (2004). 10.1109/TPAMI.2004.32
31. P. Foroughi and P. Abolmaesumi, Elastic registration of 3D ultrasound images., Med. Image Comput. Comput. Assist. Interv. 3749/2006, 83-90 (2005). 10.1007/11566465-11 (Pubitemid 43828237)
32. C.-B. Huang, S.-S. Yu, J.-L. Zhou, and H.-W. Lu, Image retrieval using both color and local spatial feature histograms., IEEE Int. Conf. Commun., Circuits Syst. 2, 931 (2004). 10.1109/ICCCAS.2004.1346332
33. M. K. Hu, Visual pattern recognition by moment invariants., IRE Trans. Inf. Theory 8, 179-187 (1962). 10.1109/TIT.1962.1057692
34. L. M. Ellingsen and J. L. Prince, Mjolnir: Extending HAMMER using a diffusion transformation model and histogram equalization for deformable image registration., Int. J. Biomed. Imaging 2009, 18 (2009). 10.1155/2009/281615
35. M. Holden., Voxel similarity measures for 3-D serial MR brain image registration., IEEE Trans. Med. Imaging 19, 94-102 (2000). 10.1109/42.836369 (Pubitemid 30594811)
36. M. Holden, L. D. Griffin, and D. L. G. Hill, Multi-dimensional mutual information image similarity metrics based on derivatives of linear scale space., Proceedings of the APRS Workshop on Digital Image Computing, IEEE, 55-60 (2005).
37. D. G. Lowe, Distinctive image features from scale-invariant keypoints., International Journal of Computer Vision, 60, 91-110 (1999).
38. D. B. Russakoff., Image similarity using mutual information of regions., Proc. Eur. Congress Comput. Vision LNCS 3023, 596-607 (2004). 10.1007/978-3-540-24672-5-47 (Pubitemid 39736698)
39. M. J. Murphy., How does CT image noise affect 3D deformable image registration for image-guided radiotherapy planning., Med. Phys. 35, 1145-1153 (2008). 10.1118/1.2837292 (Pubitemid 351322660)
40. P. Filev., Comparison of similarity measures for the task of template matching of masses on serial mammograms., Med. Phys. 32, 515-529 (2005). 10.1118/1.1851892 (Pubitemid 40322333)
41. T. Veninga, H. Huisman, R. W. M. van der Maazen, and H. Huizenga, Clinical validation of the normalized mutual information method for registration of CT and MR images in radiotherapy of brain tumors., J. Appl. Clin. Med. Phys. 5, 66-79 (2004). 10.1120/jacmp.2021.25277
42. M. Sohn, M. Birkner, Y. Chi, J. Wang, D. Yan, B. Berger, and M. Alber, Model-independent, multimodality deformable image registration by local matching of anatomical features and minimization of elastic energy., Med. Phys. 35, 866-878 (2008). 10.1118/1.2836951 (Pubitemid 351322668)
43. P. Viola and W. M. Wells, Alignment by maximization of mutual information., Int. J. Comput. Vision 24, 1573-1405 (1997). 10.1023/A: 1007958904918
44. A. Collignon, F. Maes, D. Delaere, D. Vandermeulen, P. Suetens, and G. Marchal, Automated multi-modality image registration based on information theory., Comput. Imaging Vision 3, 263-274 (1995).
45. U. Vovk, F. Pernus, and B. Likar, Intensity inhomogeneity correction of multispectral MR images., Neuroimage 32, 54-61 (2006). 10.1016/j.neuroimage. 2006.03.020
46. J. G. Sled, A. P. Zijdenbos, and A. C. Evans, A nonparametric method for automatic correction of intensity nonuniformity in MRI data., IEEE Trans. Med. Imaging 17, 87-97 (1998). 10.1109/42.668698 (Pubitemid 128742012)
47. C. Nikou, F. Heitz, and J.-P. Armspach, Robust voxel similarity metrics for the registration of dissimilar single and multimodal images., Pattern Recogn. 32, 1351-1368 (1999). 10.1016/S0031-3203(98)00167-8 (Pubitemid 29435181)
48. F. Maes, A. Collignon, D. Vandermeulen, G. Marchal, and P. Suetens, Multimodality image registration by maximization of mutual information., IEEE Trans. Med. Imaging 16, 187-198 (1997). 10.1109/42.563664 (Pubitemid 127762930)
49. R. M. Haralick and L. G. Shapiro, Computer and Robot Vision (Addison-Wesley, Boston, MA, 1992).
50. S. Schaefer, T. McPhail, and J. Warren, Image deformations using moving least squares., ACM Trans. Graphics 25, 553-540 (2006). 10.1145/1141911.1141920 (Pubitemid 44481012)
51. D. A. Hamstra, C. J. Galban, C. R. Meyer, T. D. Johnson, P. C. Sundgren, C. Tsien, T. S. Lawrence, L. Junck, D. J. Ross, A. Rehemtulla, B. D. Ross, and T. L. Chenevert, Functional diffusion map as an early imaging biomarker for high-grade glioma: Correlation with conventional radiologic response and overall survival., J. Clin. Oncol. 26, 3387-3394 (2008). 10.1200/JCO.2007.15.2363
52. B. M. Ellingson, M. G. Malkin, S. D. Rand, J. M. Connelly, C. Quinsey, P. S. LaViolette, D. P. Bedekar, and K. M. Schmainda, Validation of functional diffusion maps (fDMs) as a biomarker for human glioma cellularity., J. Magn. Reson. Imaging 31, 538-548 (2010). 10.1002/jmri.22068
53. J. Solomon, J. A. Butman, and A. Sood, Segmentation of brain tumors in 4D MR images using the hidden Markov model., Comput. Methods Programs Biomed. 84, 76-85 (2006). 10.1016/j.cmpb.2006.09.007 (Pubitemid 46053603)
54. P. A. Freeborough and N. C. Fox, Modeling brain deformations in Alzheimer disease by fluid registration of serial 3D MR images., J. Comput. Assist. Tomogr. 22, 838-843 (1998). 10.1097/00004728-199809000-00031 (Pubitemid 28457752)
55. M. Bosc, F. Heitz, J.-P. Armspach, I. Namer, D. Gounot, and L. Rumbach, Automatic change detection in multimodal serial MRI: Application to multiple sclerosis lesion evolution., Neuroimage 20, 643-656 (2003). 10.1016/S1053- 8119(03)00406-3 (Pubitemid 37268094)
56. X. Gao, Z. Xue, J. Xing, D. Y. Lee, S. M. Gottschalk, H. E. Heslop, C. M. Bollard, and S. T. C. Wong, Computer-assisted quantitative evaluation of therapeutic response for lymphoma using serial PET/CT imaging., Acad. Radiol. 17, 479-488 (2010). 10.1016/j.acra.2009.10.026
57. J. S. Stromberg, M. B. Sharpe, and L. H. Kim, Active breathing control (ABC) for Hodgkin's disease: Reduction in normal tissue irradiation with deep inspiration and implications for treatment., Int. J. Radiat. Oncol., Biol., Phys. 48, 797-806 (2000). 10.1016/S0360-3016(00)00681-7
58. J. C. Dimopoulos, G. Schard, D. Berger, S. Lang, G. Goldner, T. Helbich, and R. Potter, Systematic evaluation of MRI findings in different stages of treatment of cervical cancer: Potential of MRI on delineation of target, pathoanatomic structures, and organs at risk., Int. J. Radiat. Oncol. Biol. Phys. 64, 1380-1388 (2006). 10.1016/j.ijrobp.2005.10.017
59. J. M. Balter, K. K. Brock, and D. W. Litzenberg, Daily targeting of intrahepatic tumors for radiotherapy., Int. J. Radiat. Oncol. Biol. Phys. 52, 266-271 (2002). 10.1016/S0360-3016(01)01815-6 (Pubitemid 34041578)
60. L. A. Dawson, C. Eccles, J. P. Bissonnette, and K. K. Brock, Accuracy of daily image guidance for hypofractionated liver radiotherapy with active breathing control., Int. J. Radiat. Oncol., Biol., Phys. 62, 1247-1252 (2005). 10.1016/j.ijrobp.2005.03.072 (Pubitemid 40884441)
61. G. Antoch, L. S. Freudenberg, T. Beyer, A. Bockisch, and J. Debatin, To enhance or not to enhance 18F-FDG and CT contrast agents in dual-modality 18F-FDG PET/CT., J. Nucl. Med. 45, 56 S-65S (2004).
62. W. W. Chou, D. R. Puri, and N. Y. Lee, Intensity-modulated radiation therapy for head and neck cancer., Expert Rev. Anticancer Ther. 5, 515-521 (2005). 10.1586/14737140.5.3.515 (Pubitemid 40894982)