Uniqueness Of Refractive Index As An Effective Diagnostic Parameter For Brain Lesions: A Novel Noninvasive Technique To Predict Refractive Index From CT-MR Fusion Image By Applying Feynman’s Equation

Abstract

PURPOSE – The refractive index (RI) is a unique physical property of tissue. It changes in neoplastic and inflammatory condition of brain due to depletion of tissue glutathione concentration changing the electron density. The purpose of the study was to predict RI value of the brain lesions from the CT-MR fused images non invasively. MATERIALS AND METHODS –CTMR fusion image was produced by combining CT and MR images by rigid registration technique to detect the pathology accurately. Independent component analysis determines the color value and gray value of the images of the tissue. These values were then used by Neural Network software to generate a color mapping of the CT-MR fusion image. Electron density derived from CT images and optical frequency from color image were used to determine RI value by applying Feynman’s equation. RI value and glutathione levels of corresponding biopsy specimens were determined in the laboratory. RESULTS –.A colored CT-MR fusion image shows true color of the tissue. The RI values determined from images were in agreement with biopsy determined RI values. Values between 1.353 through 1.359 are benign and RI value above 1.412 were found malignant.CONCLUSIONPredicting RI value using colored CT-MR fused images will increase diagnostic accuracy.