Analytical Methods of Sonography for Radiation-induced uscular Tissue Injury
Date Issued
2014
Date
2014
Author(s)
Liu, Tsu-Wei
Abstract
The purpose of this study is to develop a quantitative method for estimating muscular fiber of Sternocleidomastoid (SCM) muscle to help doctors evaluate the damage of SCM muscle after radiotherapy.
The raw data of the study are ultrasound B-mode images of SCM muscle for 36 patients with head and neck cancer before and after radiotherapy. These images include tumor side and non-tumor side. The analysis system is based on MATLAB with fuzzy c-means clustering and size criterion algorithm. Muscular fiber and muscle cell are divided by the developed system and then their areas are calculated. After processing, muscular fiber area, muscle cell area and fiber ratio are displayed. Due to different sonography parameters, such as total gain for each image, calibration is considered for the biceps of 3 normal people and phantom experiment is further studied to prove the accuracy of the system. Finally, the ultrasound images of 36 patients are analyzed by the system and the results are plotted.
From the result of phantom experiment, it shows that the lesion in ultrasound images is proportional to optical picture. The result of patient images shows that as time goes on, SCM muscle near tumor gets swelling and then gets fibrotic 3 months after radiotherapy. Furthermore, fibrosis of SCM muscle in tumor side gets worse than non-tumor side.
The analysis system has ability to quantitatively estimate the fibrosis of SCM muscle as time goes on for each patient and fibrosis trend for all patients. It provides clinical doctors an objective and stable way to analyze the condition of SCM muscle after radiotherapy and it may be used to evaluate the treatment result for rehabilitation.
Subjects
超音波影像
放射治療後正常組織
Fuzzy c-means clustering
Size criterion
SDGs
Type
thesis
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