|M.Sc Student||Begin Alon|
|Subject||Bubbles Characterizations Of Microwave Tissue Ablation in|
|Department||Department of Biomedical Engineering||Supervisors||Professor Emeritus Dan Adam|
|Professor Josue Sznitman|
|Full Thesis text|
Liver cancer, and its most common type being hepatocellular carcinoma (HCC), is the most primary case of liver cancer, with mortality rate of 20.4 in 10,000. Thermal ablation, either by RF or Mmicrowaves, is well accepted as the clinical treatment of non-resectable tumors. This study was done on Microwave application.
During the ablation procedure, due to the heating, microbubbles are generated in a seemingly disordered manner. This study was aimed to better understand the properties of the generated microbubbles and their distribution, and to correlate the microbubbles dynamics with a well-accepted heating equation.
Ten patients who underwent microwave ablation of their HCC tumors were monitored during the procedure by an ultrasound imaging system. The ultrasound clips were analyzed by a dedicated algorithm of wavelet filtering, and the microbubbles were classified to 4 different groups.
Each group represented different stage of the micro-bubbles’ dynamics during ablation, characterized with distinct features such as statistical features (e.g histogram’s skew) and textural (e.g Co-Occurrence’s entropy and homogeneity). Those micro-bubbles groups characterization helps to show significant proof to the heating profile that expected in this treatment from previous theoretical and experimental researches.
The results of this study demonstrate the feasibility of characterizing the microbubbles that are generated during this common clinical procedure.