Diagnosis of MRI Combined With Remote Sensing Image Homogenization Algorithm in Demyelinating Pseudotumor of Brain

Abstract

Through imaging and pathology studies, high-resolution MRI combined with remote sensing image homogenization algorithm was used to analyze the different components of brain demyelinated pseudotumor, and the stability of plaque was determined before demyelinating pseudotumor resection. A unified optical processing method combining image dynamic block idea and HIS transform is proposed. The image is dynamically divided into high-light sub-blocks, ordinary sub-blocks and excessive sub-sub-blocks, and then these sub-blocks are homogenized by HIS transform. Finally, the processed sub-blocks are linearly stretched to ensure the entire frame, and the MASK-based algorithm is analyzed. And several improved algorithms for remote sensing image homogenization algorithms. Experiments show that the MASK-based gradient stretching algorithm and the mean and variance based remote sensing image homogenization algorithm can achieve better uniformity, but there will be blur or color deviation. Therefore, a regional 2% linear stretching algorithm is proposed. The algorithm has great advantages in maintaining and enhancing the color of the original image. The MRI findings of demyelinating pseudotumor of the brain have certain characteristics. Dynamic observation of suspicious cases is after clinical hormonal examination, increase the rate of discovery, reduce or avoid irreversible damage to patients through surgery or radiotherapy.