36. Software suite for 3D dose analysis: demonstrating the importance of image registration in RT dose verification

There is now an internationally recognised need to improve 3D verification of highly conformal radiotherapy treatments. This is because of the very high dose gradients used in modern treatment techniques, which can result in a small error in the spatial dose distribution leading to a serious complication. In order to gain the full benefits of using 3D dosimetric technologies, it is vital to use 3D evaluation methods and algorithms. We present in this paper a software solution that provides a comprehensive 3D dose evaluation and analysis. Evaluated dose distribution is spatially aligned with the reference distribution prior to verification analysis. The Bspline registration algorithm has demonstrated a higher reliability in dose image registration than the demon algorithm. The software is applied to gel dosimetry, which is based on magnetic resonance imaging (MRI) as a read-out method. The software can also be used to compare any two dose distributions, such as two distributions planned using different methods of treatment planning systems, or different dose calculation algorithms.

[1]  Jan-Jakob Sonke,et al.  3D Dosimetric verification of volumetric-modulated arc therapy by portal dosimetry. , 2010, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.

[2]  Jean-Philippe Thirion,et al.  Image matching as a diffusion process: an analogy with Maxwell's demons , 1998, Medical Image Anal..

[3]  M. Oldham,et al.  Polymer gel dosimetry. , 2010, Physics in medicine and biology.

[4]  D. Low,et al.  A technique for the quantitative evaluation of dose distributions. , 1998, Medical physics.

[5]  M. Stock,et al.  Interpretation and evaluation of the γ index and the γ index angle for the verification of IMRT hybrid plans , 2005 .

[6]  Lindsay W. Turnbull,et al.  Absolute radiation dose verification using magnetic resonance imaging: feasibility study , 2003 .

[7]  Daniel Rueckert,et al.  Nonrigid registration using free-form deformations: application to breast MR images , 1999, IEEE Transactions on Medical Imaging.

[8]  Cornelis H. Slump,et al.  MRI modalitiy transformation in demon registration , 2009, 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

[9]  Emiliano Spezi,et al.  Gamma histograms for radiotherapy plan evaluation. , 2006, Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology.