Document Type: Conference Proceedings
Ph. D, Department of Medical Physics, Ahvaz Jundishapur University of Medical Sciences: Ahvaz, Iran
Ph. D, Department of Radiology Technology, Paramedicine Faculty, Ahvaz Jundishapur University of Medical Sciences: Ahvaz, Iran
Ph. D, Radiation Therapy and Medical Physics Department, Golestan Hospital, Ahvaz Jundishapur University of Medical Sciences
M.Sc student, Department of Medical Physics, Ahvaz Jundishapur University of Medical Sciences: Ahvaz, Iran
Introduction: The quality of CT images used for treatment planning of cancer patients is an important issue in accurate outlining of the tumor volume and organs at risk. Different
kernels in CT scanner systems are available for improving the image quality. Applying these
kernels on CT images will change the CT numbers and electron density of tissues,
consequently. Therefore, the aim of this study was to assess effects of different CT kernels on
Hounsfield unit variations, the related computed electron densities and the calculated dose
distributions in radiation treatment planning system.
Materials and Methods: The 16 slice Siemens CT scanner used in this work. The B30, B35, B41 and B50 kernels applied on abdomen CT images for a kidney cancer patient. The ISOgray
treatment planning system was used for radiation treatment planning and calculating dose
of 6MV photon beam energy. The dose volume histogram (DVH) of left kidney as target
volume and spinal cord as organ at risk were calculated.
Results: The B50 kernel, had the greatest effect on calculated CT numbers for considered
reference points relative to standard kernel B30, among the applied kernels for image
reconstruction (16-19 HU variations). The average of calculated percent dose in target
volume for 3 reference points obtained %99.19, %100.36T %99.89 and %100.87 for
standard kernel B30 and other B35, B41 and B50 kernels, respectively. Mean dose in DVH was
2.03 for B30 and 2.05 for other kernels.
Conclusion: The Hounsfield units of the selected reference points, in the target volume of
reconstructed CT images by various kernels had relatively high variations respect to B30
kernel. Despite these variations, electron density and consequently the average of calculated
percent dose in the target volume did not show considerable changes. Hence, it can be
concluded that the use of image reconstruction kernels to improve the quality of CT images
will help to determine the edges and outlines of tumors and organs at risk more precisely.
While, applying these kernels does not significantly affect the amount of calculated doses in
the treatment planning system