Investigating the possibility of Detecting the Density of the Constituent Elements of Body Tissues using the AdaptiveNeural Fuzzy Inference System model

This paper presents an efficient method to determine the density of the constituentelements within body tissues through the utilization of the Adaptive Fuzzy NeuralInference System (ANFIS) model. Implemented within the MATLAB programmingenvironment, the proposed model combines fuzzy logic and artificial neural networks,offering the capability to comprehend and learn intricate patterns. By simulating bodytissues and x-rays using the MCNPX nuclear code, the absorption of x-rays by tissuesis measured across various beams with different energy levels, enabling the calculationof element density within the body tissues. The primary objective of the study isto evaluate the ANFIS model’s effectiveness in detecting human body tissue density,utilizing experimental data obtained from a range of density measurement techniquesin simulation. The results show that the density of body tissues can be measured withhigh accuracy using this method compared to the previous methods.

کلیدواژه ها:

ANFIS ، Density ، Detection ، MCNPX ، MATLAB