Graduation Semester and Year
2012
Language
English
Document Type
Thesis
Degree Name
Master of Science in Electrical Engineering
Department
Electrical Engineering
First Advisor
Kambiz Alavi
Abstract
With new improvements in high-end commercial R&D Infrared camera technologies many challenges have been overcome for exploring high speed Infrared imaging, the ability to capture fast varying phenomena without image blur, acquire enough data to properly characterize dynamic energy, and increase the dynamic range without compromising the number of frames per second. This study presents a noninvasive method for determining the spatial and thermal heating profiles in a phantom tissue generated by High Intensity Focused Ultrasound (HIFU) beam by using Infrared imaging. A high speed Infrared camera was placed above a tissue mimicking material that was heated at the focal point of HIFU with no other sensors present in the HIFU axial beam. This setup eliminates interference caused by parasitic objects present in the field. A silicone tissue phantom was used and sonicated with a 2.5 MHz HIFU transducer at pulse cycle of 200ms and burst time of 20ms. The temperature rise over the surface of the phantom was measured using an Infrared camera. A MATLAB simulation code used to perform a finite-element solution to the pressure wave propagation and heat equations inside the phantom and temperature rise to the phantom was computed. Three different power levels of HIFU transducers were used in measurement and simulation predicted temperature increase values were within about 25% of IR measurements. The temperature measurements taken may also be used to detect the axial focal point of the HIFU with accuracy of 10%.
Disciplines
Electrical and Computer Engineering | Engineering
License
This work is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 4.0 International License.
Recommended Citation
Jahangir Moghadam, Mohammadreza, "Infrared Imaging Method For Thermographic Characterizing Of Medical High Intensity Focused Ultrasound Devices" (2012). Electrical Engineering Theses. 106.
https://mavmatrix.uta.edu/electricaleng_theses/106
Comments
Degree granted by The University of Texas at Arlington