Accuracy of deformable image registration for contour propagation in adaptive lung radiotherapy

Radiation Oncology

Volumn 8, Issue 1, 2013, Pages

  Hardcastle, Nicholas ^a,b,c   van Elmpt, Wouter ^d   De Ruysscher, Dirk ^e   Bzdusek, Karl ^f   Tomé, Wolfgang A ^b,c,g  

^a PETER MACCALLUM CANCER CENTRE   (Australia)

^b UNIVERSITY OF WISCONSIN SCHOOL OF MEDICINE AND PUBLIC HEALTH   (United States)

^c UNIVERSITY OF WOLLONGONG   (Australia)

^d MAASTRICHT UNIVERSITY   (Netherlands)

^e UNIVERSITY HOSPITALS LEUVEN   (Belgium)

^f PHILIPS HEALTHCARE   (United States)

^g ALBERT EINSTEIN COLLEGE OF MEDICINE   (United States)

Author keywords

Adaptive radiotherapy; Automatic contour propagation; Deformable image registration; NSCLC

Indexed keywords

ALGORITHM; ARTICLE; CANCER RADIOTHERAPY; CANCER SIZE; COMPUTER ASSISTED TOMOGRAPHY; CONTRAST ENHANCEMENT; CONTROLLED STUDY; CORRELATION ANALYSIS; DEFORMABLE IMAGE REGISTRATION; DIAGNOSTIC ACCURACY; ESOPHAGUS; FOUR DIMENSIONAL COMPUTED TOMOGRAPHY; HUMAN; IMAGE ANALYSIS; IMAGE QUALITY; LUNG NON SMALL CELL CANCER; LYMPH NODE; MAJOR CLINICAL STUDY; PHYSICIAN; SOFT TISSUE; SPINAL CORD; STRUCTURE ANALYSIS; CARCINOMA, NON-SMALL-CELL LUNG; COMPUTER ASSISTED DIAGNOSIS; COMPUTER ASSISTED RADIOTHERAPY; LUNG NEOPLASMS; PROCEDURES;

ALGORITHMS; CARCINOMA, NON-SMALL-CELL LUNG; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; LUNG NEOPLASMS; RADIOTHERAPY PLANNING, COMPUTER-ASSISTED;

EID: 84885550408     PISSN: None     EISSN: 1748717X     Source Type: Journal    
DOI: 10.1186/1748-717X-8-243     Document Type: Article

References (28)

1. Belderbos JS, Heemsbergen WD, De Jaeger K, Baas P, Lebesque JV. Final results of a phase I/II dose escalation trial in non-small-cell lung cancer using three-dimensional conformal radiotherapy. Int J Radiat Oncol Biol Phys 2006, 66:126-134. 10.1016/j.ijrobp.2006.04.034, 16904518.
2. Kong FM, Hayman JA, Griffith KA, Kalemkerian GP, Arenberg D, Lyons S, Turrisi A, Lichter A, Fraass B, Eisbruch A, Lawrence TS, Ten Haken RK. Final toxicity results of a radiation-dose escalation study in patients with non-small-cell lung cancer (NSCLC): predictors for radiation pneumonitis and fibrosis. Int J Radiat Oncol Biol Phys 2006, 65:1075-1086. 10.1016/j.ijrobp.2006.01.051, 16647222.
3. van Baardwijk A, Wanders S, Boersma L, Borger J, Ollers M, Dingemans A, Bootsma G, Geraedts W, Pitz C, Lunde R, Lambin P, De Ruysscher D. Mature results of an individualized radiation dose prescription study based on normal tissue constraints in stages I to III non-small-cell lung cancer. J Clin Oncol 2010, 28:1380-1386. 10.1200/JCO.2009.24.7221, 20142596.
4. Bradley JD, Moughan J, Graham MV, Byhardt R, Govindan R, Fowler J, Purdy JA, Michalski JM, Gore E, Choy H. A phase I/II radiation dose escalation study with concurrent chemotherapy for patients with inoperable stages I to III Non-small-cell lung cancer: phase I results of RTOG 0117. Int J Radiat Oncol Biol Phys 2010, 77:367-372. 10.1016/j.ijrobp.2009.04.029, 2869096, 20457350.
5. Guckenberger M, Wilbert J, Richter A, Baier K, Flentje M. Potential of adaptive radiotherapy to escalate the radiation dose in combined radiochemotherapy for locally advanced non-small cell lung cancer. Int J Radiat Oncol Biol Phys 2011, 79:901-908. 10.1016/j.ijrobp.2010.04.050, 20708850.
6. Ramsey CR, Langen KM, Kupelian PA, Scaperoth DD, Meeks SL, Mahan SL, Seibert RM. A technique for adaptive image-guided helical tomotherapy for lung cancer. Int J Radiat Oncol Biol Phys 2006, 64:1237-1244. 10.1016/j.ijrobp.2005.11.012, 16446055.
7. Guckenberger M, Baier K, Richter A, Wilbert J, Flentje M. Evolution of surface-based deformable image registration for adaptive radiotherapy of non-small cell lung cancer (NSCLC). Radiat Oncol 2009, 4:68. 10.1186/1748-717X-4-68, 2804595, 20025753.
8. Ehler ED, Bzdusek K, Tome WA. A method to automate the segmentation of the Gtv and Itv for lung tumors. Med Dosim 2009, 34:145-153. 10.1016/j.meddos.2008.08.007, 19410144.
9. Lu WG, Olivera GH, Chen Q, Chen ML, Ruchala KJ. Automatic re-contouring in 4D radiotherapy. Phys Med Biol 2006, 51:1077-1099. 10.1088/0031-9155/51/5/002, 16481679.
10. Orban de Xivry J, Janssens G, Bosmans G, De Craene M, Dekker A, Buijsen J, van Baardwijk A, De Ruysscher D, Macq B, Lambin P. Tumour delineation and cumulative dose computation in radiotherapy based on deformable registration of respiratory correlated CT images of lung cancer patients. Radiother Oncol 2007, 85:232-238. 10.1016/j.radonc.2007.08.012, 17936388.
11. Shekhar R, Lei P, Castro-Pareja CR, Plishker WL, D'Souza WD. Automatic segmentation of phase-correlated CT scans through nonrigid image registration using geometrically regularized free-form deformation. Med Phys 2007, 34:3054-3066. 10.1118/1.2740467, 17822013.
12. Speight R, Sykes J, Lindsay R, Franks K, Thwaites D. The evaluation of a deformable image registration segmentation technique for semi-automating internal target volume (ITV) production from 4DCT images of lung stereotactic body radiotherapy (SBRT) patients. Radiother Oncol 2011, 98:277-283. 10.1016/j.radonc.2010.12.007, 21257217.
13. van Dam IE, de Koste JR VS, Hanna GG, Muirhead R, Slotman BJ, Senan S. Improving target delineation on 4-dimensional CT scans in stage I NSCLC using a deformable registration tool. Radiother Oncol 2010, 96:67-72. 10.1016/j.radonc.2010.05.003, 20570381.
14. Zhang TZ, Orton NP, Tome WA. On the automated definition of mobile target volumes from 4D-CT images for stereotactic body radiotherapy. Med Phys 2005, 32:3493-3502. 10.1118/1.2106448, 16370433.
15. Zhang T, Chi Y, Meldolesi E, Yan D. Automatic delineation of on-line head-and-neck computed tomography images: toward on-line adaptive radiotherapy. Int J Radiat Oncol Biol Phys 2007, 68:522-530. 10.1016/j.ijrobp.2007.01.038, 17418960.
16. Al-Mayah A, Moseley J, Hunter S, Velec M, Chau L, Breen S, Brock K. Biomechanical-based image registration for head and neck radiation treatment. Phys Med Biol 2010, 55:6491-6500. 10.1088/0031-9155/55/21/010, 20959687.
17. Castadot P, Lee JA, Parraga A, Geets X, Macq B, GrÈgoire V. Comparison of 12 deformable registration strategies in adaptive radiation therapy for the treatment of head and neck tumors. Radiother Oncol 2008, 89:1-12. 10.1016/j.radonc.2008.04.010, 18501456.
18. Lu WG, Olivera GH, Chen Q, Ruchala KJ, Haimerl J, Meeks SL, Langen KM, Kupelian PA. Deformable registration of the planning image (kVCT) and the daily images (MVCT) for adaptive radiation therapy. Phys Med Biol 2006, 51:4357-4374. 10.1088/0031-9155/51/17/015, 16912386.
19. van Elmpt W, Öllers M, van Herwijnen H, den Holder L, Vercoulen L, Wouters M, Lambin P, De Ruysscher D. Volume or position changes of primary lung tumor during (chemo-)radiotherapy cannot be used as a surrogate for mediastinal lymph node changes: the case for optimal mediastinal lymph node imaging during radiotherapy. Int J Radiat Oncol Biol Phys 2011, 79:89-95. 10.1016/j.ijrobp.2009.10.059, 20421149.
20. Vercauteren T, Pennec X, Perchant A, Ayache N. Diffeomorphic demons: efficient non-parametric image registration. Neuroimage 2009, 45(Suppl. 1):S61-S72.
21. Allaire S, Pekar V, Hope AJ, Breen SL, Jaffray DA. Automatic contour propagation in head & neck IGRT based on 3D salient interest points. Int J Radiat Oncol Biol Phys 2008, 72(Issue 1, Supplement):S87.
22. Wrangsjo A, Pettersson J, Knutsson H. Non-rigid registration using morphons. Image Anal Proc 2005, 3540:501-510.
23. Yoo TS, Ackerman MJ, Lorensen WE, Schroeder W, Chalana V, Aylward S, Metaxes D, Whitaker R. Engineering and algorithm design for an image processing API: a technical report on ITK - the insight toolkit. Proc. of medicine meets virtual reality 2002, Amsterdam: IOS Press, Westwood J.
24. Knutsson H, Morphons AM. Paint on priors and elastic canvas for segmentation and registration. in 14th Scandinavian conference, SCIA 2005, Joensuu, Finland: Springer.
25. Janssens G, Jacques L, Orban de Xivry J, Geets X, Macq B. Diffeomorphic registration of images with variable contrast enhancement. Int J Biomed Imaging 2011, 2011:891585. 3005125, 21197460.
26. Black PE. Hausdorff distance Dictionary of algorithms and data structures [online] 2004 [cited 2011 april 2], Available from: http://www.nist.gov/dads/HTML/hausdorffdst.html.
27. Steenbakkers RJ, Duppen JC, Fitton I, Deurloo KE, Zijp LJ, Comans EF, Uitterhoeve AL, Rodrigus PT, Kramer GW, Bussink J, De Jaeger K, Belderbos JS, Nowak PJ, van Herk M, Rasch CR. Reduction of observer variation using matched CT-PET for lung cancer delineation: a three-dimensional analysis. Int J Radiat Oncol Biol Phys 2006, 64:435-48. 10.1016/j.ijrobp.2005.06.034, 16198064.
28. van Baardwijk A, Bosmans G, Boersma L, Buijsen J, Wanders S, Hochstenbag M, van Suylen RJ, Dekker A, Dehing-Oberije C, Houben R, Bentzen SM, van Kroonenburgh M, Lambin P, De Ruysscher D. PET-CT-based auto-contouring in non-small-cell lung cancer correlates with pathology and reduces interobserver variability in the delineation of the primary tumor and involved nodal volumes. Int J Radiat Oncol Biol Phys 2007, 68:771-8. 10.1016/j.ijrobp.2006.12.067, 17398018.