Analysis of Terahertz Brain Tumor Images Using Image Processing Techniques Finding Best Terahertz Range for Clinical Diagnosis

Abstract

The work examines the use of terahertz imaging in clinical assessment, with particular emphasis on the diagnosis of brain tumors. Using modern image processing techniques on traditional MRI images and terahertz images acquired at three different frequencies (0.4,0.7 THz, 0.08 THz, & 0.92 THz), we were able to evaluate the per-terahertz detection GLCM method a efficiency aspects of the extraction of critical transcripts were the main focus and provided a quantitative basis for comparison. Studies seek to determine the optimal terahertz frequency to improve the detection and characterization of brain tumors. This could lead to the development of a unique diagnostic tool to complement current imaging techniques. Our results suggest that some terahertz frequencies perform better than others in characterizing tumor segments, which may have important implications for next-generation medical imaging systems.