Fractal theory analysis of lung CT image recognition technology and its parameters

Abstract

With the popularity and maturity of medical imaging technology, CT scans, and other medical technologies are increasingly utilized in clinical diagnosis and treatment. In the diagnosis and treatment of pneumonia or lung tumors, clinicians make extensive use of this technology and rely on CT images to assess the progression of disease or the effectiveness of treatment. But the accuracy of visual interpretation is limited, and much of it requires a doctors extensive clinical experience. In order to reduce the workload of doctors and the misdiagnosis rate, fractal theory is considered an important tool in medical image analysis. This paper introduces the fundamental definition of fractal theory, its objectives, and how the two fractal parameters fractal dimension and lacunarity function to facilitate the recognition, and some of their advantages. They strongly reflect the actual tumor development, and highlight the crucial role played by fractal theory in medical treatment.