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Megavoltage X-Ray Imaging Based on Cerenkov Effect: A New Application of Optical Fibres to Radiation Therapy

DOI: 10.1155/2012/724024

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Abstract:

A Monte Carlo simulation was used to study imaging and dosimetric characteristics of a novel design of megavoltage (MV) X-ray detectors for radiotherapy applications. The new design uses Cerenkov effect to convert X-ray energy absorbed in optical fibres into light for MV X-ray imaging. The proposed detector consists of a matrix of optical fibres aligned with the incident X rays and coupled to an active matrix flat-panel imager (AMFPI) for image readout. Properties, such as modulation transfer function, detection quantum efficiency (DQE), and energy response of the detector, were investigated. It has been shown that the proposed detector can have a zero-frequency DQE more than an order of magnitude higher than that of current electronic portal imaging device (EPID) systems and yet a spatial resolution comparable to that of video-based EPIDs. The proposed detector is also less sensitive to scattered X rays from patients than current EPIDs. 1. Introduction Radiation therapy is widely used today to treat patients with tumors [1]. Megavoltage (MV) X-ray beams generated from a linear accelerator are commonly used to deliver the prescribed radiation dose to the tumor while minimizing the dose to the surrounding healthy tissues. The geometric accuracy of such treatment is crucial for its success. Currently, there are a number of ways to verify the positional accuracy of the treated target. One of them is to use MV cone beam CT (MV-CBCT) to locate the position of the target in the treatment room prior to the start of the treatment [2, 3]. MV-CBCT uses an electronic portal imaging device (EPID) [4] attached to the LINAC to acquire CT data by rotating the MV X-ray source (emitting a cone beam) and the EPID around the patient. One of the main challenges with this approach is that the imaging dose currently required to achieve sufficient soft tissue contrast to visualize and delineate a soft tissue target; for example, the prostate is prohibitively large for daily verification. This is due to the poor X-ray absorption, that is, low quantum efficiency (QE) of the EPID used. For most EPIDs developed so far, the QE is typically on the order of 2–4% at 6?MV as compared to the theoretical limit of 100% [5]. This is because the total combined thickness of the energy conversion layer and the metal buildup in most EPIDs is only ~2?mm. In contrast, the first half value layer (HVL) for 6?MV X-ray beams is ~13?mm of lead. Thus, a significant increase of QE is required in order to reduce the dose currently required to visualize and delineate the prostate using MV-CBCT. Efforts

References

[1]  F. M. Khan, The Physics of Radiation Therapy, Williams & Wilkins, Baltimore, Md, USA, 2nd edition, 1994.
[2]  E. J. Seppi, P. Munro, S. W. Johnsen et al., “Megavoltage cone-beam computed tomography using a high-efficiency image receptor,” International Journal of Radiation Oncology Biology Physics, vol. 55, no. 3, pp. 793–803, 2003.
[3]  J. Pouliot, A. Bani-Hashemi, J. Chen et al., “Low-dose megavoltage cone-beam CT for radiation therapy,” International Journal of Radiation Oncology Biology Physics, vol. 61, no. 2, pp. 552–560, 2005.
[4]  L. E. Antonuk, “Electronic portal imaging devices: a review and historical perspective of contemporary technologies and research,” Physics in Medicine and Biology, vol. 47, no. 6, pp. R31–R65, 2002.
[5]  G. Pang and J. A. Rowlands, “Development of high quantum efficiency flat panel detectors for portal imaging: Intrinsic spatial resolution,” Medical Physics, vol. 29, no. 10, pp. 2274–2285, 2002.
[6]  M. A. Mosleh-Shirazi, P. M. Evans, W. Swindell, J. R. N. Symonds-Tayler, S. Webb, and M. Partridge, “Rapid portal imaging with a high-efficiency, large field-of-view detector,” Medical Physics, vol. 25, no. 12, pp. 2333–2346, 1998.
[7]  J. Ostling, M. Wallmark, A. Brahme et al., “Novel detector for portal imaging in radiation therapy,” in Medical Imaging 2000: Physics of Medical Imaging, vol. 3977 of Proceedings of SPIE, pp. 84–95, February 2000.
[8]  R. Hinderer, J. M. Kapatoes, H. Keller et al., “Development of a new multielement detector system for megavoltage photons,” in Medical Imaging 2002: Physics of Medical Imaging, vol. 4682 of Proceedings of SPIE, pp. 809–818, February 2002.
[9]  A. Sawant, L. E. Antonuk, Y. El-Mohri et al., “Segmented crystalline scintillators: an initial investigation of high quantum efficiency detectors for megavoltage x-ray imaging,” Medical Physics, vol. 32, no. 10, pp. 3067–3083, 2005.
[10]  T. T. Monajemi, B. G. Fallone, and S. Rathee, “Thick, segmented CdWO4-photodiode detector for cone beam megavoltage CT: a Monte Carlo study of system design parameters,” Medical Physics, vol. 33, no. 12, pp. 4567–4577, 2006.
[11]  Y. El-Mohri, L. E. Antonuk, Q. Zhao, et al., “Low-dose megavoltage cone-beam CT imaging using thick, segmented scintillators,” Physics in Medicine and Biology, vol. 56, pp. 1509–1527, 2011.
[12]  G. Pang and J. A. Rowlands, “Development of high quantum efficiency, flat panel, thick detectors for megavoltage x-ray imaging: a novel direct-conversion design and its feasibility,” Medical Physics, vol. 31, no. 11, pp. 3004–3016, 2004.
[13]  S. Wang, J. K. Gardner, J. J. Gordon et al., “Monte Carlo-based adaptive EPID dose kernel accounting for different field size responses of imagers,” Medical Physics, vol. 36, no. 8, pp. 3582–3595, 2009.
[14]  D. A. Jaffray, J. J. Battista, A. Fenster, and P. Munro, “Monte Carlo studies of x-ray energy absorption and quantum noise in megavoltage transmission radiography,” Medical Physics, vol. 22, no. 7, pp. 1077–1088, 1995.
[15]  X. Mei, J. A. Rowlands, and G. Pang, “Electronic portal imaging based on Cerenkov radiation: a new approach and its feasibility,” Medical Physics, vol. 33, no. 11, pp. 4258–4270, 2006.
[16]  J. V. Jelley, Cerenkov Radiation and Its Applications, Pergamon Press, London, UK, 1958.
[17]  J. A. Rowlands and J. Yorkston, “Flat Panel Detectors for Digital Radiography,” in Handbook of Medical Imaging, L. V. M. Richard, B. Jacob, and L. K. Harold, Eds., pp. 223–328, SPIE Press, 2000.
[18]  J. M. Boudry and L. E. Antonuk, “Radiation damage of amorphous silicon, thin-film, field-effect transistors,” Medical Physics, vol. 23, no. 5, pp. 743–754, 1996.
[19]  K. Tanioka, J. Yamazaki, K. Shidara, et al., “Avalanche-mode amorphous selenium photoconductive target for camera tube,” in Advances in Electronics and Electron Physics, B. L. Morgan, Ed., vol. 74, pp. 379–387, Academic Press, 1988.
[20]  S. Agostinelli, J. Allison, K. Amako et al., “GEANT4—a simulation toolkit,” Nuclear Instruments and Methods in Physics Research A, vol. 506, no. 3, pp. 250–303, 2003.
[21]  J. T. Dobbins, “Effects of undersampling on the proper interpretation of modulation transfer function, noise power spectra, and noise equivalent quanta of digital imaging systems,” Medical Physics, vol. 22, no. 2, pp. 171–182, 1995.
[22]  F. Cremers, T. Frenzel, C. Kausch, D. Albers, T. Sch?nborn, and R. Schmidt, “Performance of electronic portal imaging devices (EPIDs) used in radiotherapy: image quality and dose measurements,” Medical Physics, vol. 31, no. 5, pp. 985–996, 2004.
[23]  H. Fujita, D. Y. Tsai, T. Itoh et al., “A simple method for determining the modulation transfer function in digital radiography,” IEEE Transactions on Medical Imaging, vol. 11, no. 1, pp. 34–39, 1992.
[24]  D. A. Jaffray, J. J. Battista, A. Fenster, and P. Munro, “X-ray scatter in megavoltage transmission radiography: Physical characteristics and influence on image quality,” Medical Physics, vol. 21, no. 1, pp. 45–60, 1994.
[25]  R. K. Swank, “Absorption and noise in x-ray phosphors,” Journal of Applied Physics, vol. 44, no. 9, pp. 4199–4203, 1973.
[26]  C. E. Dick and J. W. Motz, “Image information transfer properties of x-ray fluorescent screens,” Medical Physics, vol. 8, no. 3, pp. 337–346, 1981.
[27]  M. Lacha?ne and B. G. Fallone, “Monte Carlo detective quantum efficiency and scatter studies of a metal/a-Se portal detector,” Medical Physics, vol. 25, no. 7, pp. 1186–1194, 1998.
[28]  B. M. C. McCurdy, K. Luchka, and S. Pistorius, “Dosimetric investigation and portal dose image prediction using an amorphous silicon electronic portal imaging device,” Medical Physics, vol. 28, no. 6, pp. 911–924, 2001.

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