The interpolated results were well within accuracy limits and this method can significantly improve the efficiency of machine commissioning and resultantly improve treatment planning process.
The results obtained in this technique were in agreement with measured data and hence could be used as input data in radiotherapy treatment planning process. The data obtained by this technique is highly reliable and can fill the discrete set of tabulated data to make it continuous. It was found that interpolated results considerably agree with the measured data and so this method could be used efficiently for interpolation of above mentioned dosimetric quantities.
In order to shorten the commissioning time, technique of interpolation was used in which calculation of dosimetric quantities were made for certain depths and field sizes with reasonable step size and remaining values at different depths and field sizes were obtained by interpolation. Newton Divided Difference interpolation method was used to interpolate data between tabulated values. The purpose of this work is to enhance the efficiency of radiotherapy machine commissioning by applying computational tools to interpolate dosimetric quantities Tissue Air Ratio (TAR) and Tissue Maximum Ratio (TMR).
The radiation therapy field is advancing continuously to achieve higher degrees of accuracy and efficiency.
0 kommentar(er)
