Effect of Deformation Methods on the Accuracy of Deformable Image Registration From Kilovoltage CT to Tomotherapy Megavoltage CT

Technology in Cancer Research & Treatment
Wannapha NobnopPatumrat Sripan

Abstract

The registration accuracy of megavoltage computed tomography images is limited by low image contrast when compared to that of kilovoltage computed tomography images. Such issues may degrade the deformable image registration accuracy. This study evaluates the deformable image registration from kilovoltage to megavoltage images when using different deformation methods and assessing nasopharyngeal carcinoma patient images. The kilovoltage and the megavoltage images from the first day and the 20th fractions of the treatment day of 12 patients with nasopharyngeal carcinoma were used to evaluate the deformable image registration application. The deformable image registration image procedures were classified into 3 groups, including kilovoltage to kilovoltage, megavoltage to megavoltage, and kilovoltage to megavoltage. Three deformable image registration methods were employed using the deformable image registration and adaptive radiotherapy software. The validation was compared by volume-based, intensity-based, and deformation field analyses. The use of different deformation methods greatly affected the deformable image registration accuracy from kilovoltage to megavoltage. The asymmetric transformation with the demon method was signi...Continue Reading

References

Oct 26, 1999·Physics in Medicine and Biology·K J RuchalaT R Mackie
May 18, 2005·Medical Image Analysis·Peter Rogelj, Stanislav Kovacic
Aug 17, 2006·Physics in Medicine and Biology·Weiguo LuPatrick A Kupelian
Dec 20, 2008·International Journal of Radiation Oncology, Biology, Physics·Jean-Pierre BissonnetteAndrea Bezjak
Jan 16, 2013·Journal of Applied Clinical Medical Physics·Raj VaradhanSusanta Hui
Jun 7, 2013·IEEE Transactions on Medical Imaging·Aristeidis SotirasNikos Paragios
Jan 8, 2015·Medical Physics·Ola Weistrand, Stina Svensson
Mar 12, 2015·BioMed Research International·Bastien RigaudRenaud De Crevoisier

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DIRART )
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