Scale invariant feature transform in adaptive radiation therapy: A tool for deformable image registration assessment and re-planning indication

Physics in Medicine and Biology

Volumn 58, Issue 2, 2013, Pages 287-299

  Paganelli, Chiara ^a   Peroni, Marta ^a   Riboldi, Marco ^a,b   Sharp, Gregory C ^c   Ciardo, Delia ^d   Alterio, Daniela ^d   Orecchia, Roberto ^b,d,e   Baroni, Guido ^a,b  

^a POLITECNICO DI MILANO   (Italy)

^b Centro Nazionale Adroterapia Oncologica CNAO   (Italy)

^c MASSACHUSETTS GENERAL HOSPITAL   (United States)

^d EUROPEAN INSTITUTE OF ONCOLOGY   (Italy)

^e UNIVERSITY OF MILAN   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE RADIATION THERAPIES; AUTOMATED IDENTIFICATION; AUTOMATED TOOLS; CLINICAL PRACTICES; COMPUTATIONAL PHANTOM; DATA SETS; DEFORMABLE IMAGE REGISTRATION; DEFORMABLE TRANSFORMATIONS; HEAD AND NECK; MATCHING ERROR; PATHOLOGICAL CHANGES; QUALITY ASSESSMENT; RE-PLANNING; RESIDUAL ERROR; RIGID REGISTRATION; SCALE INVARIANT FEATURE TRANSFORMS; SHAPE-PRESERVING; STATE-OF-THE-ART METHODS; VOLUMES OF INTERESTS;

ERRORS; IMAGE REGISTRATION; RADIOTHERAPY; SYSTEMATIC ERRORS;

DEFORMATION;

ARTICLE; COMPUTER ASSISTED RADIOTHERAPY; CONE BEAM COMPUTED TOMOGRAPHY; DECISION MAKING; HEAD AND NECK TUMOR; HUMAN; IMAGE PROCESSING; METHODOLOGY; RADIOGRAPHY;

CONE-BEAM COMPUTED TOMOGRAPHY; DECISION MAKING; HEAD AND NECK NEOPLASMS; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; RADIOTHERAPY PLANNING, COMPUTER-ASSISTED;

EID: 84871604635     PISSN: 00319155     EISSN: 13616560     Source Type: Journal    
DOI: 10.1088/0031-9155/58/2/287     Document Type: Article

References (29)

1. Ahn P H et al 2011 Adaptive planning in intensity-modulated radiation therapy for head and neck cancers: single-institution experience and clinical implications Int. J. Radiat. Oncol. Biol. Phys. 3 677-85
2. Allaire S et al 2008 Full orientation invariance and improved feature selectivity of 3D SIFT with application to medical image analysis IEEE Computer Society Conf. on Computer Vision and Pattern Recognition Workshops pp 1-8
3. Castadot P, Geets X, Lee J A, Christian N and Grégoire V 2010 Assessment by a deformable registration method of the volumetric and positional changes of target volumes and organs at risk in pharyngo-laryngeal tumors treated with concomitant chemo-radiation Radiother. Oncol. 95 209-17
4. Castadot P, Geets X, Lee J A and Grégoire V 2011 Adaptive functional image-guided IMRT in pharyngo-laryngeal squamous cell carcinoma: is the gain in dose distribution worth the effort? Radiother. Oncol. 101 343-50
5. Chao K S et al 2007 Reduce in variation and improve efficiency of target volume delineation by a computer-assisted system using a deformable image registration approach Int. J. Radiat. Oncol. Biol. Phys. 68 1512-21 (Pubitemid 47176829)
6. Chao M, Xie Y, Moros E G, Le Q and Xing L 2010 Image-based modeling of tumor shrinkage in head and neck radiation therapy Med. Phys. 37 2351-8
7. Cheung W and Hamarneh G 2009 n-SIFT: n-dimensional scale invariant feature transform IEEE Trans. Image Process. 18 2012-21
8. Chu K P and Le Q T 2011 Intensity-modulated and image-guided radiation therapy for head and neck cancers Front. Radiat. Ther. Oncol. 43 217-54
9. Fallone B G, Ryan D, Rivest C, Riauka T A and Murtha A D 2010 Assessment of a commercially available automatic deformable registration system J. Appl. Clin. Med. Phys. 11 101-23
10. Förstner W and Gulch E 1987 A fast operator for detection and precise location of distinct points, corners and centres of circular features ISPRS Intercommission Workshop pp 281-304
11. Harris C G and Stephens M 1988 A combined corner and edge detector 4th Alvey Vision Conf. pp 147-52
12. Kitchen L and Rosenfeld A 1982 Gray-level corner detection Pattern Recognit. Lett. 1 95-102
13. Lee C et al 2008 Assessment of parotid gland dose changes during head and neck cancer radiotherapy using daily megavoltage computed tomography and deformable image registration Int. J. Radiat. Oncol. Biol. Phys. 71 1563-71
14. López R L and Estrada M A 2006 Iterative closest SIFT formulation for robust feature matching Proc. 2nd Int. Conf. on Advances in Visual Computing (ISVC'06) Lect. Not. Comput. Sci. pp 502-13
15. Lowe D G 1999 Object recognition from local scale-invariant features Proc. 7th IEEE Int. Conf. on Computer Vision (ICCV) pp 1150-7
16. Lowe D G 2004 Distinctive image features from scale-invariant keypoints Int. J. Comput. Vis. 60 91-110
17. Mann H B and Whitney D R 1947 On a test of whether one of two random variables is stochastically larger than the other Ann. Math. Stat. 18 50-60
18. Murphy K, van Ginneken B, Klein S, Staring M, de Hoop B J, Viergever M A and Pluim J P W 2011 Semi-automatic construction of reference standards for evaluation of image registration Med. Image Anal. 15 71-84
19. Paganelli C, Peroni M, Pennati F, Baroni G, Summers P, Bellomi M and Riboldi M 2012 Scale invariant feature transform as feature tracking method in 4D imaging: a feasibility study 34th Annual Int. Conf. of the IEEE (EMBS) pp 6543-6
20. Peroni M, Ciardo D, Spadea M F, Riboldi M, Comi S, Alterio D, Baroni G and Orecchia R 2012 Automatic segmentation and online virtualCT in head-and-neck adaptive radiation therapy Int. J. Radiat. Oncol. Biol. Phys. 84 427-33
21. Peroni M, Golland P, Sharp G C and Baroni G 2011 Ranking of stopping criteria for log domain diffeomorphic demons application in clinical radiation therapy 33rd Annual Int. Conf. of the IEEE (EMBS) pp 4884-7
22. Ricchetti F et al 2011 Volumetric change of selected organs at risk during IMRT for oropharyngeal cancer Int. J. Radiat. Oncol. Biol. Phys. 80 161-8
23. Rohlfing T et al 2012 Image similarity and tissue overlaps as surrogates for image registration accuracy: widely used but unreliable IEEE Trans. Med. Imaging 31 153-63
24. Schwartz D L et al 2005 FDG-PET/CT guided intensity modulated head and neck radiotherapy: a pilot investigation Head Neck 27 478-87 (Pubitemid 40770816)
25. Shackleford J A, Kandasamy N and Sharp G C 2010 On developing b-spline registration algorithms for multi-core processors Phys. Med. Biol. 55 6329-51
26. Van Herk M 2004 Errors and margins in radiotherapy Semin. Radiat. Oncol. 14 52-64 (Pubitemid 38168954)
27. Wang W, Yang H and Hu W 2010 Clinical study of the necessity of replanning before the 25th fraction during the course of intensity-modulated radiotherapy for patients with nasopharyngeal carcinoma Int. J. Radiat. Oncol. Biol. Phys. 77 617-21
28. Xie Y, Chao M, Lee P and Xing L 2008 Feature-based rectal contour propagation from planning CT to cone beam CT Med. Phys. 35 4450-9
29. Yan D, Lockman D, Martinez A, Wong J, Brabbins D, Vicini F, Liang J and Kestin L 2005 Computed tomography guided management of interfractional patient variation Semin. Radiat. Oncol. 15 168-79 (Pubitemid 40835958)