This study was aimed to establish the classification method of Chinese herbal medicine based on feature parameters extracted from images of herbal transverse section, in order to explore the feasibility of automatic identi-fication method of herbal medicine. The extracted 26 parameters of 18 herbal medicine images by gray-level co-oc-currence matrix and grayscale gradient matrix were used as the basic data set. And the minimum covariance determi-nant (MCD) was used to delete the outliers. A total of 18 identification models were established using the native Bayes method and BP neural network methods. The results showed that the average correct rates of models were 90%. It was concluded the feasibility of using these models in the establishment of the automatic identification method of herbal medicines. It provided new technologies for the quantitative, scientific and objective identification of Chinese herbal medicine.

This study was aimed to compare the difference of parameters of texture feature in the transverse section images of the same and different Chinese herbal medicine. A total of 26 parameters of herbal medicines were ex-tracted by gray-level co-occurrence matrix and grayscale gradient matrix. The graph of mutative curve was drawn. And differences of 26 parameters of texture feature in the same and different Chinese herbal medicine were com-pared. The results showed that parameters of texture feature extracted by gray-level co-occurrence matrix and grayscale gradient matrix had similarities and differences in the same and different Chinese herbal medicine. It was concluded that the method can show the texture feature scientifically and quantitatively. It also laid a foundation for the establishment of an automatic identification model, but the parameters still had instability. All these remind us to find some parameters which can show the details of texture feature preferably, thus perfect the extracted method of texture features in Chinese herbal medicine.

This study was aimed to explore the impact of integrality of Chinese herbal medicine on parameters of tex-ture feature in transverse section images. Three Chinese herbal medicine of Semen Arecae, Radix et Rhizoma Rhei and Radix A tractylodis Macrocephalae with different texture features were taken as research materials. Parts of Chi-nese herbal medicine were cut off from the whole by equal proportions. The 26 parameters were extracted by gray-level co-occurrence matrix and grayscale gradient matrix. The similarities and differences of 26 parameters of texture feature in the parts and whole, rectangular and fan-shaped Chinese herbal medicine were compared. The results showed that parameters of Semen A recae and Radix et Rhizoma Rhei with radial or annular texture had better con-sistency in whole and fan-shaped parts. Parameters of Radix A tractylodis Macrocephalae with irregular texture fea-ture were approximately the same in the whole and rectangular parts. It was concluded that whether parameters of texture features in parts Chinese herbal medicine can present the whole were related to its texture feature and the shape of the parts. This study provided the basis for collection of Chinese herbal medicine when sampling images. It also laid a foundation for the extraction of accurate parameter of texture feature.

This study was aimed to investigate the impact of rotation sampling on feature parameters of texture im-ages of Chinese herbal medicine. Four Chinese herb medicine with various shape and texture feature were taken as research materials. Images of complete and incomplete herbal medicine were collected respectively after different ro-tation angles. The 26 parameters were extracted by gray-level co-occurrence matrix and grayscale gradient matrix. The impact of rotation sampling on feature parameters was investigated through analysis of variation tendency and range of 26 parameters. The results showed that if the Chinese herbal medicine was complete, the 26 parameters were not impacted by the rotation angle, whereas the 26 parameters were impacted by the rotation angle and the im-pact will be more obvious when the shape of Chinese herb medicine was irregular. It was concluded that in order to get a high quality of images and construct a well identification model based on the parameter of texture features, we must consider the impact of rotation angle on the parameters to Chinese herbal medicine with various shapes and tex-ture features.

Digitalization is an important method for the objectification and quantification of quality control on Chi-nese herbal medicine. To solve the problem of texture online visualization of Chinese herbal medicine and the estab-lishment of automatic identification method based on the texture, 12 Chinese herbal medicines were selected to cap-ture the images of their transverse sections. A total of 11 features were extracted from images using Gray-level Co-occurrence Matrix (GLCM) method. Through analyzing the influence of distances and angles between pixels on identi-fication results, it was concluded that when the distance was d = 3 and the angle was ? = 0o, the features extracted were suitable for expressing the texture of the transverse sections. The results indicated the feasibility of establishing the automatic identification method on Chinese herbal medicine based on image of transverse section. It will provide new technologies for the objectification and quantification of identification on Chinese herbal medicine.

Objective To explore the probable mechanism of tinnitus and the accompanied symptoms us-ing RS-FMRI. Methods We recruited 10 adults with chronic tinnitus and 10 health adults for fMRI in the resting state. Then we compared the differences of regional homogeneity(REHO)maps and functional connectivity to the whole-brain maps with the auditory cortex as a region of interest between the two groups. Results The REHO maps of tinnitus group showed significant differences in the automated anatomical labeling brain map including the middle frontal_gyrus (right),superior frontal_gyrus (left),entorhinal cortex_(right),middle occipital_gyrus (right),middle occipital gyrus(bilateral),lingual gyrus(left)and cuneate lobe(left). The functional connectivity maps of tinnitus group showed significant differences in lingal_gyrus(left)of AAL brain regions. The p threshold value was<0.001 in all results. Conclusion Tinnitus may cause abnormal neural activity in several non-auditory brain regions,which may be the neurophysiological mechanism of tinnitus accompanied symptoms.

Objective To assess the clinical performance of plasma exchange (PE) followed by chemotherapy treatment for multiple-myeloma patients with high-viscosity syndrome and renal dysfunction.Methods 20 cases of multiple-myeloma patients with high viscous syndrome and various levels of renal dysfunction,were randomly divided into PE-chemotherapy group (the experiment groups) and chemotherapy-only group (the control group).In the experiment groups,the patients received PE via blood cell separators for 3 times (2 600±580 mLeach time,1 day interval) followed by VAD regimens chemotherapy (0.5 mg vincristine continuous intravenous drip for 12 h,adriamycin 10 mg continuous intravenous drip for 12 h and dexamethasone 40 mg qd1-4).In the control group,patients received standard VAD regimen.After 2 cycles of chemotherapy,globulin (GLB),blood sedimentation (ESR) and hemorheology properties were compared between the two groups before and after treatment.Results The symptoms of high viscosity syndrome(gingivial blood/nosebleed,dizziness and extremities numbness)in the treatment group were significantly improved compared with that in the control group (P＜ 0.05).Before and after therapy,the GLB (g/L) were 80.0± 19.6 vs 30.0±10.5 in the treatment group and 85.5±21.5 vs 53.5± 16.0 in the control group (P＜0.05),respectively;the Cr (μmol/L) were 359.0±30.5 vs 105.0±25.0 and 362.0±39.6 vs 190.0±43.0,respectively(P＜0.05);the ESR (mm/h) were 80.0±22.5 vs 12±0.6 and 83.0±23.6 vs 30.0+3.6 (P＜0.05),respectively;the whole blood high shear reductive viscosity were 16.2±2.1 vs 8.5±0.6 and 15.8±2.0 vs 12.8±0.8 (P＜0.05),respectively;the whole blood middle shear reductive viscosity were 19.0±0.5 vs 10.8±0.6 and 20.0±0.6 vs 15.2±0.8 (P＜0.05),respectively;the whole blood low shear reductive viscosity were 50.3±2.9 vs 28.1±1.2 and 52.7±3.5 vs 40.2±3.5(P＜0.05),respectively.Conclusion Plasma exchange treatment combined with sequential chemotherapy presents better clinical performances compared to the chemotherapy-only solution for multiple-myeloma patients with high viscosity syndrome and renal dysfunction.