By theory analysis,a good method named 2D multi-resolution Wavelet analysis is obtained.This method can effectively eliminate noises and swell signals.Consequently,the reconstruction of PET image is accelerated and the quality of PET image is improved.

A registration method for 3D abdominal ultrasonic images without added hardware is proposed,whose key is to determine the relative position of the target from the registration substance.The registration involves such steps as registration plane scanning,establishment of registration table,section plane scanning,recognition of registration substance and registration of all sections.

Objective To conduct lossless compression to medical images with lossless regions of interest.Methods Firstly,the shape information of interest regions were segmented and pick up.Then,the self-adaptive wavelet transform was performed to transform interest regions.At last,the modulus of the interest regions and the rest were coded respectively before being stored or transmitted.Results A method for medical image compression based on shape-self-adapted ROI was raised.Conclusion The whole image can be highly compressed with high fidelity

The influenza A virus (IAV) belongs to the family Influenza Virus and subfamily Orthomyxoviridae. The IAV can cause acute infections of the lower respiratory in human and animals. Recently, many studies have been performed to reveal the lung CD4+ T cells, CD8+ T cells and Tregs via multiple effector and regulatory mechanisms to against IAV. In this paper, we review the state of progress with regards to various strategies of IAV escape from T cell responses, T cells and innate T cells immunity against influenza virus, which will provide a useful reference tool for future related reseach.
Animals ; Humans ; Influenza A virus ; immunology ; physiology ; Lung ; immunology ; virology ; T-Lymphocytes ; immunology

To comprehensively assess the true visual function of clinical dry eye patients and the comprehensive impact of blinking characteristics on functional vision of the human eye,an intelligent vision measurement system has been designed and developed to detect and analyze blinks from the side.The system employs deep learning keypoint recognition technology to analyze eyelid features from a lateral perspective.It presents the data of identified key points for the upper and lower eyelids in a line chart format and annotates the trough of each blink.By setting benchmark values,the system automatically calculates the proportion of complete and incomplete blinks in the tested individuals.The results indicate that the system is stable in performance and accurate in measurement,successfully achieving the anticipated design objectives.It thereby provides reliable technical support for future clinical applications.

Single-cell RNA sequencing technology takes a single cell as research object,counts and analyzes the gene expres-sion level of each transcript and heterogeneity between cells.This technology makes up for the defects of traditional sequencing techno-logy to some extent.Autoimmune disease is the damage or dysfunction of autotissue cells caused by autoimmune tolerance or abnormal regulation of autoimmunity cells.In this paper,the research results on application of single-cell RNA sequencing technology in autoim-mune disease in recent years are reviewed,which provides valuable clues for early realization of precise medical treatment.