A Modified Exact Reconstruction Algorithm for Microwave Tomography for Detection of Disease in Human Body
In this paper, a Modified Exact Reconstruction Algorithm for Microwave Tomography has been proposed and applied on a diseased semi-human-sized biological target. An Exact Algorithm already developed for imaging has been used on a semi-human-sized normal biological model and, thereby, a reconstructed image on the basis of complex permittivities of the cells is obtained with an average accuracy of (90%-99%) for different regions. When a particular portion of the model is affected by some diseases, those cells are characterized by different values of complex permittivity from the normal ones. But the result provided by the Exact Algorithm is not very accurate for medical diagnosis when applied on such diseased model. It creates suspicion only about any disease on that portion. The aforesaid algorithm is, therefore, modified by considering the deviations in electric fields in all cells on account of change of permittivity in the diseased region. The image is reconstructed iteratively only on clinically suspected region keeping the values of complex permittivity in other cells the same as in its normal states. The reconstructed image thus obtained by using Modified Exact Algorithm is supposed to have sufficient accuracy of 95% for the diagnosis in medical field and may be helpful for detection of disease in human body in future.
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