A study on image quality provided by a kilovoltage cone-beam computed tomography

Journal of Applied Clinical Medical Physics

Volumn 14, Issue 1, 2013, Pages 239-257

  Garayoa, Julia ^a   Castro Pablo, C ^a  

^a HOSPITAL UNIVERSITARIO PUERTA DE HIERRO   (Spain)

Author keywords

ART; Cone beam CT; IGRT; Image quality; On board imager (OBI)

Indexed keywords

EID: 84873535422     PISSN: None     EISSN: 15269914     Source Type: Journal    
DOI: 10.1120/jacmp.v14i1.3888     Document Type: Note

References (25)

1. Herman MG, Balter JM, Jaffray DA, et al. Clinical use of electronic portal imaging: Report of AAPM Radiation Therapy Committee Task Group 58. Med Phys. 2001;28(5):712-37.
2. Ding GX, Duggan DM, Coffey CW, et al. A study on adaptive IMRT treatment planning using kV cone-beam CT. Radiother Oncol. 2007;85(1):116-25.
3. Nijkamp J, Pos FJ, Nuver TT, et al. Adaptive radiotherapy for prostate cancer using kilovoltage cone-beam computed tomography: first clinical results. Int J Radiat Oncol Biol Phys. 2008;70(1):75-82.
4. Hatton JA, Greer PB, Tang C, et al. Does the planning dose-volume histogram represent treatment doses in image-guided prostate radiation therapy? Assessment with cone-beam computerised tomography scans. Radiother Oncol. 2011;98(2):162-68.
5. Létourneau D, Wong R, Moseley D, et al. Online planning and delivery technique for radiotherapy of spinal metastases using cone-beam CT: image quality and system performance. Int J Radiat Oncol Biol Phys. 2007;67(4):1229-37.
6. Wang W, Wu Q, Yan D. Quantitative evaluation of cone-beam computed tomography in target volume definition for offline image-guided radiation therapy of prostate cancer. Radiother Oncol. 2010;94(1):71-75.
7. Guang H and Dong H. Dose calculation accuracy using cone-beam CT (CBCT) for pelvic adaptive radiotherapy. Phys Med Biol. 2009;54(20):6239-50.
8. Hatton JA, McCurdy B, Greer PB. Cone beam computerized tomography: the effect of calibration of the Hounsfield unit number to electron density on dose calculation accuracy for adaptive radiation therapy. Phys Med Biol. 2009;54(15):N329-N346.
9. Kim S, Yoo S, Yin FF, Samei E, Yoshizumi T. Kilovoltage cone-beam CT: comparative dose and image quality evaluations in partial and full-angle scan protocols. Med Phys. 2010;37(7):3648-59.
10. Yoo S, Kim G, Hammoud R, et al. A quality assurance program for the on-board imager. Med Phys. 2006;33(11):4431-47.
11. Bissonnette JP, Moseley DJ, Jaffray DA. A quality assurance program for image quality of cone-beam CT guidance in radiation therapy. Med Phys. 2008;35(5):1807-15.
12. Cheng HC, Wu WC, Liu ES, Kwong DL. Evaluation of radiation dose and image quality for the Varian cone-beam computed tomography system. Int J Rad Onc Biol Phys. 2011;80(1):291-300.
13. Zheng D, Ford JC, Lu J, et al. Bow-tie wobble artefact: effect of source assembly motion on cone-beam CT. Med Phys. 2011;38(5):2508-14.
14. The Phantom Laboratory. Catphan 500 and 600 manual. Salem, NY: The Phantom Laboratory; 2006.
15. Rasband WS. ImageJ. Bethesda, MA: U. S. National Institutes of Health; 1997-2009. Available from: http://rsb.info.nih.gov/ij/
16. Abramoff MD, Magelhaes PJ, Ram SJ. Image processing with ImageJ. Biophotonics International. 2004;11(7):36-42.
17. Hsieh J. Computed tomography. principles, design, artifacts, and recent advances, 2nd edition. Hoboken, NJ: SPIE and Wiley-Interscience; 2009.
18. Nickoloff EL and Riley R. A simplified approach for modulation transfer function determinations in computed tomography. Med Phys. 1985;12(4):437-42.
19. Nickoloff EL. Measurement of the PSF for a CT scanner: appropriate wire diameter and pixel size. Phys Med Biol. 1988;33(1):149-55.
20. Droegue RT and Morin RL. A practical method to measure the MTF of CT scanners. Med Phys. 1982;9(5):758-60.
21. Coltman JW. The specification of imaging properties by response to a sine wave input. J Opt Soc Am. 1954;44(6):468-71.
22. Stock M, Pasler M, Birkfellner W, Homolka P, Poetter R, Georg D. Image quality and stability of image-guided radiotherapy (IGRT) devices: a comparative study. Radiother Oncol. 2009;93(1):1-7.
23. Burgess AE. The rose model revisited. J Opt Soc Am A. 1999;16(3):633-46.
24. Cunningham IA and Shaw R. Signal-to-noise optimization of medical imaging systems. J Opt Soc Am A. 1999;16(3):621-32
25. Chao EH, Toth TL, Bromberg NB, Williams EC, Fox SH, Carleton DA. A statistical Method of defining Low Contrast Detectability. Radiology. 2000;()217:162.