Application of nano-metric synthetic materials in medical imaging diagnosis

Abstract

This paper investigates the application of nanometer synthetic materials in medical imaging diagnosis. The main synthesis methods of nanomaterials are described, and nanomaterials are applied to X-ray CT imaging, magnetic resonance imaging, PAT imaging, fluorescence imaging, photoacoustic imaging and PET imaging. The diagnostic results can be obtained by applying spatial filtering to filter operation, medical imaging and the filtering processing of image segmentation. By extracting the medical image texture feature using gray level cooccurrence matrix, studying shallow network features and combining the characteristics of the learning result, a more comprehensive medical imaging diagnosis can be obtained. The experimental results show that the method can reduce the error rate of medical imaging diagnosis and accelerate the efficiency of medical imaging diagnosis.