Simulation of Pixel wise temperature prediction for Liver Tumor by High Intensity Focused Ultrasound Ablations

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TITLE

Simulation of Pixel wise temperature prediction for Liver Tumor by High Intensity Focused Ultrasound Ablations

ABSTRACT

Medical imaging has become more challenging in the research field. High-intensity focused ultrasound (HIFU) is a developing medical technology, which allows non-invasive ablation of tumors. Magnetic Resonance Imaging (MRI) plays a vital role in guiding the focused ultrasound. Research in the abdominal area is complicated due to various reasons like respiration, bowel movement, air gaps, vascular pulsations etc. Segmentation of the liver and identifying the region of interest is difficult because of the similarity in the gray level between the liver and the liver lesion. Also in the adjoining regions the gray levels are similar and the lesion types vary from person to person. Thresholding is the simplest and, most commonly used techniques in image segmentation. This technique can be used to detect the contour of the tumor in the Liver. The nonlinear absorption of the biological tissues during HIFU is solved numerically using Kuznetsov, Zabolotskaya and Khokhlov (KZK) equation. The temperature changes in the tissues and the thermal dosage to be applied are determined by the Pennes Bio-Heat Transfer Equation (PBHTE). Other thermal models of bio heat transfer are discussed. They are the extended and modified versions of the original work of pennes. Comparing the Pennes BHTE, Wulff and Klinger the proposed model of heat equation is formed. Thus the temperature and thermal dose to be applied to the region of interest is calculated. Other models for Bio-Heat transfer are compared and the proposed model is derived. The present study aims at improving the accuracy of the thermal dose applied to the region of interest for HIFU thermal ablation, thereby improving the patient’s safety, by making significant changes in the present model of heat transfer

KEYWORDS

MR guided HIFU, Temperature prediction, PBHTE, Thresholding based segmentation, Pixel intensity based prediction, thermal dose

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Cite this paper

P. Revathy. (2017) Simulation of Pixel wise temperature prediction for Liver Tumor by High Intensity Focused Ultrasound Ablations. International Journal of Oncology and Cancer Therapy, 2, 28-35