A new deconvolution approach to robust fluence for intensity modulation under geometrical uncertainty.

Pengcheng Zhang 1, 2, 3 Renaud De Crevoisier 1, 2, * Antoine Simon 2, 1, * Pascal Haigron 1, 2, * Jean-Louis Coatrieux 1, 2, 3 Baosheng Li 4 Huazhong Shu 2, 3, *
* Auteur correspondant
1 LTSI - Laboratoire Traitement du Signal et de l'Image
2 CRIBS - Centre de Recherche en Information Biomédicale sino-français
3 LIST - Laboratory of Image Science and Technology [Nanjing]
4 Department of Radiation Oncology
Abstract : This work addresses random geometrical uncertainties that are intrinsically observed in radiation therapy by means of a new deconvolution method combining a series expansion and a Butterworth filter. The method efficiently suppresses high-frequency components by discarding the higher order terms of the series expansion and then filtering out deviations on the field edges. An additional approximation is made in order to set the fluence values outside the field to zero in the robust profiles. This method is compared to the deconvolution kernel method for a regular 2D fluence map, a real intensity-modulated radiation therapy field, and a prostate case. The results show that accuracy is improved while fulfilling clinical planning requirements.
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Article dans une revue
Physics in Medicine and Biology, IOP Publishing, 2013, 58 (17), pp.6095-110. 〈10.1088/0031-9155/58/17/6095〉
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Pengcheng Zhang, Renaud De Crevoisier, Antoine Simon, Pascal Haigron, Jean-Louis Coatrieux, et al.. A new deconvolution approach to robust fluence for intensity modulation under geometrical uncertainty.. Physics in Medicine and Biology, IOP Publishing, 2013, 58 (17), pp.6095-110. 〈10.1088/0031-9155/58/17/6095〉. 〈inserm-00855392〉

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