Abstract
To investigate the effects of scatter from a megavoltage treatment beam on intrafraction cone beam CT (CBCT) image quality. The effects of treatment beam field size and phantom geometry were investigated as well as the clinical success of IFI. Intrafraction imaging (IFI) was performed on four phantoms with four different MV field sizes using a 6 MV FFF source. The image quality of the intrafraction CBCT images was compared to that of a baseline CBCT (i.e. with no treatment beam on) and quantified using noise and low contrast visibility. Increasing the kV tube current was explored as a possible method to reduce noise induced by the MV photon scatter in the intrafraction-CBCTs. The clinical success of all IFI patients over a 2 month period was reviewed. Intrafraction-CBCT image quality and low-contrast visibility deteriorated as MV field size increased. The extent of image degradation was found to depend on the mass of the phantom resulting in a more pronounced effect for a pelvic phantom than a thoracic phantom. While increasing the tube current could reduce the noise in the intrafraction-CBCT images, increasing the current by a factor of 4 failed to reach baseline image quality. Anatomy was found to be the primary indication of clinical IFI failure with all observed failures occurring during abdominal treatments. Image quality was found to decrease with increasing MV field size and decrease with increasing treatment anatomy mass. When considering intrafraction imaging clinically, the primary indicator of IFI failure is treatment anatomy. IFI can be used during chest treatments with high success rates but care must be taken for abdominal treatments and failures should be expected.
Data availability
The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.
References
Mirimanoff R-O (2015) Stereotactic ablative body radiotherapy (SABR): an alternative to surgery in stage I-II non-small-cell cancer of the lung? Chin Clin Oncol 4(4):42
Purdie TG et al (2007) Cone-beam computed tomography for on-line image guidance of lung stereotactic radiotherapy: localization, verification, and intrafraction tumor position. Int J Radiat Oncol Biol Phys 68(1):243–252
Bissonnette JP et al (2009) Quantifying interfraction and intrafraction tumor motion in lung stereotactic body radiotherapy using respiration-correlated cone beam computed tomography. Int J Radiat Oncol Biol Phys 75(3):688–695
Case RB et al (2009) Inter- and intrafraction variability in liver position in non-breath-hold stereotactic body radiotherapy. Int J Radiat Oncol Biol Phys 75(1):302–308
Pham D et al (2014) A review of kidney motion under free, deep and forced-shallow breathing conditions: implications for stereotactic ablative body radiotherapy treatment. Technol Cancer Res Treat 13(4):315–323
Yoganathan S et al (2017) Magnitude, impact, and management of respiration-induced target motion in radiotherapy treatment: a comprehensive review. J Med Phys 42(3):101–115
Shimohigashi Y et al (2017) Tumor motion changes in stereotactic body radiotherapy for liver tumors: an evaluation based on four-dimensional cone-beam computed tomography and fiducial markers. Radiat Oncol 12(1):61
Guckenberger M et al (2008) Image-guided radiotherapy for liver cancer using respiratory-correlated computed tomography and cone-beam computed tomography. Int J Radiat Oncol Biol Phys 71(1):297–304
Adamson J, Wu Q (2010) Prostate intrafraction motion assessed by simultaneous kilovoltage fluoroscopy at megavoltage delivery I: clinical observations and pattern analysis. Int J Radiat Oncol Biol Phys 78(5):1563–1570
Nakahara S, Tachibana M, Watanabe Y (2016) One-year analysis of Elekta CBCT image quality using NPS and MTF. J Appl Clin Med Phys 17(3):211–222
Hynds S et al (2011) Assessing the daily consistency of bladder filling using an ultrasonic Bladderscan device in men receiving radical conformal radiotherapy for prostate cancer. Br J Radiol 84(1005):813–818
Nakagawa K et al (2007) Verification of in-treatment tumor position using kilovoltage cone-beam computed tomography: a preliminary study. Int J Radiat Oncol Biol Phys 69(4):970–973
Li R et al (2013) Clinical implementation of intrafraction cone beam computed tomography imaging during lung tumor stereotactic ablative radiation therapy. Int J Radiat Oncol Biol Phys 87(5):917–923
Keall P et al (2017) Stereotactic prostate adaptive radiotherapy utilising kilovoltage intrafraction monitoring: the TROG 15.01 SPARK trial. BMC Cancer 17(1):180
Arumugam S et al (2016) An online x-ray based position validation system for prostate hypofractionated radiotherapy. Med Phys 43(2):961–974
van Herk M, Ploeger L, Sonke J-J (2011) A novel method for megavoltage scatter correction in cone-beam CT acquired concurrent with rotational irradiation. Radiother Oncol 100(3):365–369
Ling C et al (2011) Acquisition of MV-scatter-free kilovoltage CBCT images during RapidArc or VMAT. Radiother Oncol 100(1):145–149
Gomà C et al (2016) The role of a microDiamond detector in the dosimetry of proton pencil beams. Zeitschrift für Medizinische Physik 26(1):88–94
Muralidhar K, Murthy P, Kumar R (2008) Commissioning and quality assurance of the X-ray volume Imaging system of an image-guided radiotherapy capable linear accelerator. J Med Phys 33(2):72–77
Stock M et al (2009) Image quality and stability of image-guided radiotherapy (IGRT) devices: a comparative study. Radiother Oncol 93(1):1–7
Lim SY, Hafiz MZ (2017) Quantitative image quality evaluation for kV cone-beam CT-based IGRT. J Phys Conf Ser 851(1):012029
Schindelin J et al (2012) Fiji: an open-source platform for biological-image analysis. Nat Methods 9:676
Le NTT, Robinson J, Lewis SJ (2015) Obese patients and radiography literature: what do we know about a big issue? J Med Radiat Sci 62(2):132–141
Goyal S, Kataria T (2014) Image guidance in radiation therapy: techniques and applications. Radiol Res Pract 2014:705604
Acknowledgements
The author would like to acknowledge the radiation therapists on PA4 at the Princess Alexandra Hospital who helped immensely with data collection for this project. The author would also like to acknowledge Dr Elizabeth Brown for helping with ethics approval and reviewing the manuscript from a radiation therapist perspective, and Luke K Webb who brainstormed ideas with me, talked through problems and generally provided moral support and guidance throughout this project.
Funding
Not applicable.
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Ethical approval
Granted by Metro South HREC Number LNR/2018/QMS/47578.
Conflict of interest
The authors declare that they have no conflict of interest.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Friend, G., O’Connor, P. & Charles, P. The effect of megavoltage field size on intrafraction cone-beam CT image quality. Phys Eng Sci Med 43, 711–717 (2020). https://doi.org/10.1007/s13246-020-00870-7
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s13246-020-00870-7