Abstract
Inverse treatment planning, which enables intensity modulated radiation treatment (EV1RT), is quickly entering into clinical practice. One of the key ingredients of any inverse, as well as conventional treatment planning systems, is the used dose calculation algorithm. Ideally, the dose calculation algorithm should be accurate and fast; however, there is always some trade off between accuracy and speed. Most of the current inverse treatment algorithms use fast dose calculation algorithms, usually based on pencil beam or convolution/ superposition approach [1–4]. These algorithms work well for many clinical cases, but there are some examples where systematic errors of several percent may occur [5,6]. On the other hand, Monte Carlo based dose calculations are known for their accuracy, but they are also burdened with some statistical error, which introduces different type of problems [7].
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
T. Bortfeld, W. Schlegel and B. Rein 1993, Decomposition of pencil beam kernels for fast dose calculation in three-dimensional treatment planning, Med. Phys. 20, 311–318.
Mackie T R, Holmes T W, Swedloff S et al 1993, Tomotherapy: A new concept for the delivery of dynamic conformal radiotherapy, Med. Phys. 20(6), 1709–1719.
Preiser K, Bortfeld T, Harwig K, Schlegel W and Stein J, A new program for inverse radiotherapy planning, Proceedings of the International Conference on the Use of Computers in Radiation Therapy, Utah, USA, 425–428.
Holmes T, Bleier A, Carlo M, Curran B et al 1998 The CORVUS dose model revealed, Med. Phys. 25(7), A144.
Mohan R 1997, Why Monte Carlo?, Proceedings of the International Conference on the Use of Computers in Radiation Therapy, Utah, USA, 16–18.
Nahum A E 1997, Conformal therapy needs Monte-Carlo dose computation, Proceeding of Challenges in Conformal Radiotherapy, Nice, 1–11.
Jeraj R and Keall P J 1999, Effect of noise on Monte Carlo based inverse treatment planning, To be submitted to Phys. Med. Biol.
Jeraj R and Keall P J, Monte Carlo based inverse treatment planning, Phys. Med. Biol. 44, (1999), 1885–1896.
Keall P J, Siebers J V and Mohan R, Acceptance testing and commissioning tests for a Monte Carlo-based photon dose calculation algorithm, Medical College of Virginia Internal Report, 1999.
Ahnesjö A 1989, Collapsed cone convolution of radiant energy for photon dose calculation in heterogeneous media, Med. Phys. 16(4), 577–592.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2000 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Jeraj, R., Keall, P. (2000). Errors in inverse treatment planning based on inaccurate dose calculation. In: Schlegel, W., Bortfeld, T. (eds) The Use of Computers in Radiation Therapy. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-59758-9_205
Download citation
DOI: https://doi.org/10.1007/978-3-642-59758-9_205
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-67176-3
Online ISBN: 978-3-642-59758-9
eBook Packages: Springer Book Archive