Radio Frequency Ablation of Liver Tumor-Influence of Large Vessels location and vein wall
Journal Title: Journal of Biomedical Engineering and Medical Imaging - Year 2017, Vol 4, Issue 6
Abstract
Radiofrequency ablation (RFA) is a process that uses RF energy which is one form of electromagnetic energy to destroy cancer cells. This is a minimally invasive technique to treat some kinds of cancer and can be applied to nonsurgical patients. The frequency range of RF current is between 300 kHz to 1 MHz. Tumors from lung, liver, kidney and bone may be removed by performing RFA. Here in our model a patient specific simulator for Radiofrequency ablation (RFA) of liver tumors has been developed and the effects of the presence of blood vessel inside the liver tissue on the temperature distribution and the volume of ablation has been shown. And the effect of temperature distribution on the distance between large blood vessel and electrode tip has been shown, all these effects has been shown for two different models one is with vein wall and one without vein wall. Heat is generated within liver tumors utilizing RF energy from RF current where the RF current is generated using a power generator. With the heat generation, the tissue temperature reaches a temperature where cell death occurs. This cell death occurs when the cells are heated to approximately 50 °C or above. Temperature should not exceed 100 °C because it will cause overheating. We develop the model using ANSYS 16.2 and numerically solve the problem to view the variation of temperature around the electrode tip within the liver tissue. We consider a model with blood flow inside a vessel and which is in the vicinity of the heated tissue and a model without a vessel.
Authors and Affiliations
Md. Mohaiminul Islam, Muhammad Asadul Islam
In vivo Tumor Wavelength Band Selection using Hierarchical Clustering and PCA with NIR-Hyperspectral Data
This paper presents a new method of wavelength selection combined with principle component analysis (PCA) and a hierarchal method for hyperspectral data analysis. Hyperspectral data analysis is a combination of imaging a...
Effects of Integrated Simulation Program on the Critical Thinking Disposition, Problem-Solving Process and Job Performance of Nursing College Students
The purpose of this study was to examine the effects of an integrated simulation program on the critical thinking disposition, problem-solving process and job performance of nursing students. An integrated simulation p...
Semiautomatic Determination of Arterial Input Function in DCE-MRI of the Abdomen
The goal of this study was to develop a semiautomatic segmentation technique of the abdominal aorta to determine the arterial input function (AIF). A total of 24 patients having therapy naïve abdominal cancers were image...
Real and Complex Valued Ripplet-I Transform for Medical Image Denoising and Analysis of Thresholding Constants and Scales Effects
Medical image processing is an important diagnostic tool in the field of medical. Medical images might be affected by the noises that manipulate the resolution negatively during screening or transmission. These images ne...
A Effectual Technique of Impulse Noise Suppression for Assessing the Impact of Brain Disorders in MRI by applying Selective Weighted Median Filter
An accurate analysis of medical images is progressively demanding in providing the absolute detection and diagnosis of diseases in medical imaging. The significant pre-processing step in MRI data processing is noise elim...