Tumour delineation and cumulative dose computation in radiotherapy based on deformable registration of respiratory correlated CT images of lung cancer patients

Radiotherapy and Oncology

Volumn 85, Issue 2, 2007, Pages 232-238

  Orban de Xivry, Jonathan ^a,b   Janssens, Guillaume ^a,b   Bosmans, Geert ^b   De Craene, Mathieu ^a   Dekker, André ^b   Buijsen, Jeroen ^b   van Baardwijk, Angela ^b   De Ruysscher, Dirk ^b   Macq, Benoit ^a   Lambin, Philippe ^b  

^a UNIVERSITÉ CATHOLIQUE DE LOUVAIN   (Belgium)

^b MAASTRICHT UNIVERSITY   (Netherlands)

Author keywords

b Spline registration; Deformation; Delineation; Dose distribution; RC CT

Indexed keywords

ARTICLE; AUTOMATION; BREATHING PATTERN; CANCER RADIOTHERAPY; CLINICAL ARTICLE; COMPUTER ASSISTED TOMOGRAPHY; CONTROLLED STUDY; CORRELATION ANALYSIS; HUMAN; HUMAN CELL; HUMAN TISSUE; LUNG CANCER; LUNG NON SMALL CELL CANCER; MATHEMATICAL COMPUTING; OBSERVER VARIATION; PRIORITY JOURNAL; RADIATION DOSE; RADIATION DOSE DISTRIBUTION; RADIATION FIELD; RESPIRATORY CORRELATED COMPUTED TOMOGRAPHY; RESPIRATORY FUNCTION; TREATMENT PLANNING;

CARCINOMA, NON-SMALL-CELL LUNG; HUMANS; LUNG NEOPLASMS; OBSERVER VARIATION; RADIOTHERAPY DOSAGE; RADIOTHERAPY PLANNING, COMPUTER-ASSISTED; RESPIRATION; TOMOGRAPHY, X-RAY COMPUTED;

EID: 36448941853     PISSN: 01678140     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.radonc.2007.08.012     Document Type: Article

References (27)

1. vanHerk M. Errors and margins in radiotherapy. Semin Radiat Oncol 14 (2004) 52-64
2. ICRU. International commission on radiation units and measurements: report 62: prescribing, recording and reporting photon beam therapy; 1999.
3. Engelsman M., Damen E.M., De Jaeger K., van Ingen K.M., and Mijnheer B.J. The effect of breathing and set-up errors on the cumulative dose to a lung tumor. Radiother Oncol 60 (2001) 95-105
4. van Sornsen de Koste J.R., Lagerwaard F.J., Nijssen-Visser M.R., Graveland W.J., and Senan S. Tumor location cannot predict the mobility of lung tumors: a 3D analysis of data generated from multiple CT scans. Int J Radiat Oncol Biol Phys 56 (2003) 348-354
5. Bosmans G., van Baardwijk A., Dekker A., et al. Intra-patient variability of tumor volume and tumor motion during conventionally fractionated radiotherapy for locally advanced non-small-cell lung cancer: a prospective clinical study. Int J Radiat Oncol Biol Phys 66 (2006) 748-753
6. Engelsman M., Rietzel E., and Kooy H.M. Four-dimensional proton treatment planning for lung tumors. Int J Radiat Oncol Biol Phys 64 (2006) 1589-1595
7. Bosmans G., Buijsen J., Dekker A., et al. An in silico clinical trial comparing free breathing, slow and respiration correlated computed tomography in lung cancer patients. Radiother Oncol 81 (2006) 73-80
8. Keall P.J., Mageras G.S., Balter J.M., et al. The management of respiratory motion in radiation oncology report of AAPM Task Group 76. Med Phys 33 (2006) 3874-3900
9. Keall P.J., Starkschall G., Shukla H., et al. Acquiring 4D thoracic CT scans using a multislice helical method. Phys Med Biol 49 (2004) 2053-2067
10. Lagerwaard F. Towards 4-dimensional conformal radiotherapy for early stage non-small cell lung cancer. Radiation oncology (2004), Erasmus Medical Center, Rotterdam
11. Ford E.C., Mageras G.S., Yorke E., and Ling C.C. Respiration-correlated spiral CT: a method of measuring respiratory-induced anatomic motion for radiation treatment planning. Med Phys 30 (2003) 88-97
12. Lu W., Olivera G.H., Chen Q., Chen M.L., and Ruchala K.J. Automatic re-contouring in 4D radiotherapy. Phys Med Biol 51 (2006) 1077-1099
13. Rietzel E., Chen G.T., Choi N.C., and Willet C.G. 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
14. Coolens C., Evans P.M., Seco J., et al. The susceptibility of IMRT dose distributions to intrafraction organ motion: an investigation into smoothing filters derived from four dimensional computed tomography data. Med Phys 33 (2006) 2809-2818
15. Heath E., and Seuntjens J. A direct voxel tracking method for four-dimensional Monte Carlo dose calculations in deforming anatomy. Med Phys 33 (2006) 434-445
16. Rietzel E., and Chen G.T. Deformable registration of 4D computed tomography data. Med Phys 33 (2006) 4423-4430
17. Rosu M., Chetty I.J., Balter J.M., Kessler M.L., McShan D.L., and Ten Haken R.K. Dose reconstruction in deforming lung anatomy: dose grid size effects and clinical implications. Med Phys 32 (2005) 2487-2495
18. Rosu M., Chetty I.J., Balter J.M., Kessler M.L., McShan D.L., and Ten Haken R.K. How extensive of a 4D dataset is needed to estimate cumulative dose distribution plan evaluation metrics in conformal lung radiotherapy?. Med Phys 34 (2007) 233-245
19. Ten Haken R., Rosu M., Balter J., Chetty I., Kessler M., and McShan D. How extensive of a 4D dataset is needed for lung cancer dose evaluation?. Radiother Oncol 81 (2006) S101-S102
20. 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
21. Rueckert D., Sonoda L.I., Hayes C., Hill D.L., Leach M.O., and Hawkes D.J. Nonrigid registration using free-form deformations: application to breast MR images. IEEE Trans Med Imaging 18 (1999) 712-721
22. Ibanez L, Schroener W, Ng L, Cates J. The ITK software guide; 2005.
23. Whitaker RT. Variable-conductance, level-set curvature for image denoising; 2001.
24. Sarrut D. Simulation of four-dimensional CT images from deformable registration between inhale and exhale breath-hold CT scans. Med Phys 33 (2006) 605-617
25. Wilcoxon F. Individual comparison by ranking methods. Biometrics Bull 1 (1945) 80-83
26. Niemierko A. A generalized concept of equivalent uniform dose (EUD). Med Phys 26 (1999) 1100
27. Villard P.-F. Simulation of lung behaviour with finite elements: influence of bio-mechanical parameters. In: Society IC, editor. Third international conference on medical information visualisation - biomedical visualisation, London; 2005. p. 9-14.