Computed tomography as a source of electron density information for radiation treatment planning

Strahlentherapie und Onkologie

Volumn 186, Issue 6, 2010, Pages 327-333

  Skrzyński, Witold ^a   Zielińska Da̧browska, Sylwia ^b   Wachowicz, Marta ^b   Ślusarczyk Kacprzyk, Wioletta ^a   Kukołowicz, Paweł F ^b   Bulski, Wojciech ^a  

^a INSTITUTE OF ONCOLOGY   (Poland)

^b HOLYCROSS CANCER CENTER   (Poland)

Author keywords

Computed tomography; Electron density; Radiotherapy

Indexed keywords

TITANIUM;

ARTICLE; COMPUTER ASSISTED TOMOGRAPHY; CONE BEAM COMPUTED TOMOGRAPHY; DENSITY; ELECTRIC POTENTIAL; ELECTRON; ENERGY; INFORMATION; MEASUREMENT; PHANTOM; RADIOTHERAPY; SIMULATOR; STANDARD; TREATMENT PLANNING;

CONE-BEAM COMPUTED TOMOGRAPHY; ELECTRONS; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; PARTICLE ACCELERATORS; PHANTOMS, IMAGING; RADIOTHERAPY PLANNING, COMPUTER-ASSISTED; TOMOGRAPHY, X-RAY COMPUTED;

EID: 77954033781     PISSN: 01797158     EISSN: 1439099X     Source Type: Journal    
DOI: 10.1007/s00066-010-2086-5     Document Type: Article

References (28)

1. Bral S, Vinh-Hung V, Everaert H. The use of molecular imaging to evaluate radiation fields in the adjuvant setting of breast cancer. A feasibility study. Strahlenther Onkol 2008;184: 100-104
2. Burridge NA, Rowbottom CG, Burt PA. Effect of contrast-enhanced CT scans on heterogeneity corrected dose computations in the lung. J Appl Clin Med Phys 2006;7: 1-12.
3. Constantinou C, Harrington JC, DeWerd LA. An electron density calibration phantom for CT-based treatment planning computers. Med Phys 1992;19: 325-337
4. Cozzi L, Fogliata A, Buffa F, Bien S. Dosimetric impact of computed tomography calibration on a commercial treatment planning system for external radiation therapy. Radiother Oncol 1998;48: 335-338
5. Georg D, Georg P, Hillbrand M, et al. Assessment of improved organ at risk sparing for advanced cervix carcinoma utilizing precision radiotherapy techniques. Strahlenther Onkol 2008;184: 586-591
6. Goerlitz E, Albers D, Cremers F, Schmidt R. Influence of the CT calibration process on the dose computation in radiotherapy treatment planning. Proceedings of the International Conference on Quality Assurance and New Techniques in Radiation Medicine, Vienna, November 13-15, 2006: 226-227
7. Guan H, Fang-Fang Y, Kim JH. Accuracy of inhomogeneity correction in photon radiotherapy from CT scans with different settings. Phys Med Biol 2002;47: N223-31.
8. International Commission on Radiation Units and Measurements. ICRU report 44: tissue substitutes in radiation dosimetry and measurement. Bethesda: ICRU, 1989.
9. Jessen KA. Application of CT in treatment planning. Proceedings of the College on Medical Physics: Radiation Protection and Imaging Technologies; Trieste, Sep 5-23, 1994.
10. Kilby W, Sage J, Rabett V. Tolerance levels for quality assurance of electron density values generated from CT in radiotherapy treatment planning. Phys Med Biol 2002;47: 1485-1492
11. Knöös T, Nilsson M, Ahlgren L. A method for conversion of Hounsfield number to electron density and prediction of macroscopic pair production cross section. Radiother Oncol 1986;5: 337-345
12. Lo T, Yang Y, Schreibmann E, et al. Mapping electron density distribution from planning CT to cone-beam CT (CBCT): a novel strategy for accurate dose calculation based on CBCT. Int J Radiat Oncol Biol Phys 2005:63: S507.
13. Mijnheer B, Olszewska A, Fiorino C, et al. Quality assurance of treatment planning systems - practical examples for non-IMRT photon beams. ESTRO booklet nr 7. Brussels: ESTRO, 2004.
14. Morin O, Aubry JF, Aubin M, et al. Physical performance and image optimization of megavoltage cone-beam CT. Med Phys 2009;36: 1421-1432
15. Morin O, Chen J, Aubin M, et al. Dose calculation using megavoltage cone-beam CT. Int J Radiât Oncol Biol Phys 2007;67: 1201-1210
16. Nucletron. Oncentra MasterPlan vl.5 SP1 physics reference manual 192.724ENG-02. Veenendaal: Nucletron, 2006.
17. Parker RP, Hobday PA, Cassell KJ. The direct use of CT numbers in radiotherapy dosage calculations for inhomogeneous media. Phys Med Biol 1979;24: 802-809
18. Pech M, Mohnike K, Wieners G, et al. Radiotherapy of liver metastases. Comparison of target volumes and dose-volume histograms employing CT- or MRI-based treatment planning. Strahlenther Onkol 2008;184: 256-261
19. Qamhiyeh S. A Monte Carlo study of the accuracy of CT-numbers for range calculations in carbon ion therapy. PhD Thesis, Ruperto-Carola University of Heidelberg, 2007.
20. Seco J, Evans PM. Assessing the effect of electron density in photon dose calculations. Med Phys 2006;33: 540-552
21. Siewerdsen JH, Jaffray DA. Cone-beam computed tomography with a flat-panel imager: magnitude and effects of x-ray scatter. Med Phys 2001;28: 220-231
22. Sterzing F, Schubert K, Sroka-Perez, et al. Helical tomotherapy. Experiences of the first 150 patients in Heidelberg. Strahlenther Onkol 2008;184: 8-14.
23. Sua Y, Fang-Fang Y. Dosimetric feasibility of cone-beam CT-based treatment planning compared to CT-based treatment planning. Int J Radiat Oncol Biol Phys 2006;66: 1553-1561
24. Thomas SJ. Relative electron density calibration of CT scanners for radiotherapy treatment planning. BrJ Radiol 1999;72: 781-786
25. Thomas THM, Devakumar D, Purnima S, et al. The adaptation of megavoltage cone beam CT for use in standard radiotherapy treatment planning. Phys Med Biol 2009;54: 2067-2077
26. Vandecasteele K, De Neve W, De Gersem W. Intensity-modulated arc therapy with simultaneous integrated boost in the treatment of primary irresectable cervical cancer. Treatment planning, quality control, and clinical implementation. Strahlenther Onkol 2009;185: 799-807.
27. Vanan Oncology Systems. Cadplan external beam modeling physics, manual. Palo Alto: Varian Oncology Systems, 1998.
28. Zabel-du Bois A, Ackermann B, Hauswald H, et al. Influence of intravenous contrast agent on dose calculation in 3-D treatment planning for radiosurgery of cerebral arteriovenous malformations. Strahlenther Onkol 2009;185: 318-324