Computational model of pixel wise temperature prediction for liver tumor by high intensity focused ultrasound ablations

Abstract

Medical imaging is a challenging research field. High-intensity focused ultrasound (HIFU) is a developing medical imaging method for non-invasive ablation of tumors. Based on the patients image of the tumor region, a computational model is proposed for planning and optimization of the HIFU treatment. A pixel wise temperature prediction based on the grey scale intensity values was done using MATLAB code making improvement in the Pennes Bio-Heat Transfer Equation (PBHTE). Also the defects in other heat equations like wulff and Klinger are considered in the proposed heat equation. As peak temperatures above 85–90 °C causes cavitation to the tissue exposed, the present study aims at maintaining the thermal dose applied to tumor tissue to be within the limit. Simulated temperature values lie in the patients safe limit avoiding preboiling and thus cavitation of tumor tissue is avoided.