Investigation the Efficacy of Fuzzy Logic Implementation at Image‑Guided Radiotherapy
Publish place: Journal of medical signals and sensors، Vol: 12، Issue: 2
Publish Year: 1401
نوع سند: مقاله ژورنالی
زبان: English
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JR_JMSI-12-2_010
تاریخ نمایه سازی: 28 تیر 1402
Abstract:
At image‑guided radiotherapy, technique, different imaging, and monitoring systems are utilized
for (i) organs border detection and tumor delineation during the treatment planning process
and (ii) patient setup and tumor localization at pretreatment step and (iii) real‑time tumor
motion tracking for dynamic thorax tumors during the treatment. In this study, the effect of
fuzzy logic is quantitatively investigated at different steps of image‑guided radiotherapy. Fuzzy
logic‑based models and algorithms have been implemented at three steps, and the obtained
results are compared with commonly available strategies. Required data are (i) real patients
treated with Synchrony Cyberknife system at Georgetown University Hospital for real‑time tumor
motion prediction, (ii) computed tomography images taken from real patients for geometrical
setup, and also (iii) tomography images of an anthropomorphic phantom for tumor delineation
process. In real‑time tumor tracking, the targeting error averages of the fuzzy correlation model
in comparison with the Cyberknife modeler are ۴.۵۷ mm and ۸.۹۷ mm, respectively, for a
given patient that shows remarkable error reduction. In the case of patient geometrical setup, the
fuzzy logic‑based algorithm has better influence in comparing with the artificial neural network,
while the setup error averages is reduced from ۱.۴۷ to ۰.۴۴۳۲ mm using the fuzzy logic‑based
method, for a given patient.Finally, the obtained results show that the fuzzy logic based image
processing algorithm exhibits much better performance for edge detection compared to four
conventional operators. This study is an effort to show that fuzzy logic based algorithms are also
highly applicable at image‑guided radiotherapy as one of the important treatment modalities for
tumor delineation, patient setup error reduction, and intrafractional motion error compensation
due to their inherent properties.
Keywords:
Authors
Ahmad Esmaili Torshabi
Faculty of Sciences and Modern Technologies, Graduate University of Advanced Technology, Kerman, Iran