Discussion on Professor Ba Jigemude's Research Methods of the History of Mongolian Medicine

The research methods of the history of Mongolian medicine refer to the general and special methods used in the understanding and research of the history of Mongolian medicine,as well as the methods of expression and compilation of the research achievements of the history of Mongolian medicine.There are not only analysis and generalization,abstractness and concreteness,deduction and induction,historical and logical methods,but also traditional philology methods such as textual research,exegesis and collation,as well as new methods such as field investigation method,empirical method,measurement method,comparison method,and oral account method.In the actual research process,a variety of methods are often used comprehensively.This paper mainly discusses the methods used by Professor Ba Jigemude in the study of the history of Mongolian medicine,and uses specific cases to analyze and summarize the formation and development of the history of ancient traditional medicine.

Analysis on the medication and methods of ancient traditional Chinese medicine in the prevention of plague

Background:To analyze the medication and methods of ancient traditional Chinese medicine for the prevention of plague and seasonal pathogen in order to reduce the spread of infectious diseases such as flu and protect the susceptible people.Methods:Search the medication and the methods for preventing plague and seasonal pathogen in the Chinese Medical Code,classify and summarize the methods,perform frequency analysis and efficacy cluster analysis on Chinese medicines of involved medicines.Results:The methods of preventing ancient plague were as follows:burning and fumigating Chinese medicines,medicating nostrils,wearing bags filled with Chinese medicines,oral Chinese medicines and applying medicines to skin.The 3 main ways for drugs to work were external medication,nostril inhalation,and internal absorption.The Chinese medicines for preventing plague are mostly warm in nature and pungent in flavour,belonging to the spleen,stomach,liver,lung meridian.The 3 categories of drugs obtained by cluster analysis are C1:drugs for facilitating lung,relieving exterior and dissipating cold,such as Cangzhu(Atractylodis rhizoma)-Qianghuo(Notopterygh rhizoma et radix)-Xixin(Asari radix et rhizoma)-Baizhi(Angelicae dahuricae radix)-Fangfeng(Saposhnikoviae radix)-Zaojiao(Gleditsiae sinensis fructus);C2:drugs for promoting blood circulation and removing blood stasis,such as Xionghuang(Realgar)-Zhusha(Cinnabaris)-Dahuang(Rhei radix rhizoma)-Chuanxiong(Chuanxiong rhizoma)-Jiegeng(Platycodonis radix);C3:drugs for replenishing Qi(it is the most basic element that constitutes human body and maintains life activities in traditional Chinese medicine)and tonifying the spleen,such as Gancao(Glycyrrhizae radix et rhizoma)-Dazao(Jujubae fructus)-Ganjiang(Zingiberis rhizoma)-Rougui(Cinnamomi cortex)-Gansong(Nardostachyos radix et rhizoma)-Chenpi(Citri reticulatae pericarpium)-Baizhu(Atractylodis macrocephalae rhizoma).Conclusion:Through analysis the medication and methods of ancient traditional Chinese medicine for the prevention of plague,we can provide reference for modern research from the original plague prevention methods,and make an important contribution to the use of traditional Chinese medicine in the prevention and treatment of epidemic infectious diseases in modern clinic.

Multichannel Blind CT Image Restoration via Variable Splitting and Alternating Direction Method

Computed tomography(CT) blurring caused by point spread function leads to errors in quantification and visualization. In this paper, multichannel blind CT image restoration is proposed to overcome the effect of point spread function. The main advantage from multichannel blind CT image restoration is to exploit the diversity and redundancy of information in different acquisitions. The proposed approach is based on a variable splitting to obtain an equivalent constrained optimization formulation, which is addressed with the alternating direction method of multipliers and simply implemented in the Fourier domain. Numerical experiments illustrate that our method obtains a higher average gain value of at least 1.21 d B in terms of Q metric than the other methods, and it requires only 7 iterations of alternating minimization to obtain a fast convergence.

A coherence-based phase aberration correction method in medical ultrasound

A coherence-based correction method was proposed in order to improve the lateral resolution and enhance the contrast of medical ultrasound imaging in the presence of phase aberration. The averaged coherence factor was proposed at first and used as a metric to evaluate phase aberration correction. By maximizing the averaged coherence factor, the time delay parameter of each channel was adjusted. A new set of coherence factors was calculated and the corrected data was optimized to form the final B-mode image. The simulations on point targets and a cyst phantom showed that the proposed method outperformed the nearest neighboring cross correlation method and conventional coherence-weighting method, and the lateral resolution and contrast ratio was improved by approximately 0.24mm and 18dB respectively. The proposed method combined the advantages of phase error correction and coherence-weighting, which could improve imaging qualities effectively in medical ultrasound.

A Semantic Ontology Structure-based Approach for Retrieving Similar Medical Images

Radiology doctors perform text-based image retrieval when they want to retrieve medical images.However,the accuracy and efficiency of such retrieval cannot keep up with the requirements.An innovative algorithm is being proposed to retrieve similar medical images.First,we extract the professional terms from the ontology structure and use them to annotate the CT images.Second,the semantic similarity matrix of ontology terms is calculated according to the structure of the ontology.Lastly,the corresponding semantic distance is calculated according to the marked vector,which contains different annotations.We use 120 real liver CT images(divided into six categories)of a top three-hospital to run the algorithm of the program.Result shows that the retrieval index"Precision"is 80.81%,and the classification index"AUC(Area Under Curve)"under the"ROC curve"(Receiver Operating Characteristic)is 0.945.