Design of a new posterior atlas fracture reduction and internal fixation system / 中国组织工程研究

BACKGROUND:At present,there is a lack of an internal fixation system with good reduction and simple operation for the treatment of atlas burst fracture by posterior single-segment fixation. OBJECTIVE:Based on the atlas CT measurement data,a new posterior atlas fracture reduction and internal fixation system was designed and optimized,which was in line with the characteristics of human local anatomical structure,easy to operate and with good reduction. METHODS:CT images of 347 adults were analyzed retrospectively.In the images,the length of pedicle screw track with a medial inclination of 0°,the angle of the maximum medial inclination angle and the length of pedicle screw track at this time,the height of vertebral artery groove,the distance between the entry points of bilateral pedicle screws and the midline,the radius of the posterior arch of atlas,the distance between the posterior tubercle of the atlas and the posterior edge of the foramen magnum,and the distance between the posterior tubercle of the atlas and the upper surface of the axial arch were measured.The imaging data were analyzed and a reduction and internal fixation system was designed and optimized for atlas fracture in line with human anatomical characteristics. RESULTS AND CONCLUSION:(1)There was no statistically significant difference in the the length of pedicle screw track with a medial inclination of 0°,the maximum medial inclination angle and the length of pedicle screw track at this time,the height of vertebral artery groove,the distance between the entry points of bilateral pedicle screws and the midline,the radius of the posterior arch of atlas,the distance between the posterior tubercle of the atlas and the posterior edge of the foramen magnum,and the distance between the posterior tubercle of the atlas and the upper surface of the axial arch measured on the left and right sides of all subjects(P>0.05).There were statistically significant differences in each index measured between the male and female groups(P<0.05).(2)The new posterior atlas fracture reduction and internal fixation system has been successfully designed and obtained the national patent.The internal fixation system is suitable for the anatomical characteristics of the posterior arch of the atlas.It can not only effectively treat the atlas burst fracture,but also retain the movement function of the occipital atlantoaxial joint.

Study on the detection of CT image based on multi-task network method of global attention for fine-fracture / 中国医学装备

Objective:To improve the perception of computed tomography(CT)images in detecting fine fracture through multi-task network of global attention,and to realize the detection of the target of fine fracture at case level through multi-task,and to quickly and accurately identify and locate fracture from a large number of CT images,so as to assist doctors to timely conduct treatment.Methods:A grouped Non-local network method was introduced to calculate the remote dependency relationship between each position of CT image continuous sections and channel.A single-stage detector of multi-objective detection model three dimension(3D)RetinaNet was integrated with the medical image semantic segmentation architecture(3D U-Net).A end-to-end multi-task 3D convolutional network was realized,which realized the detection of case level for fine fracture through multi-task collaboration.Select 600 CT scan images from the Rib Frac Dataset of rib fractures provided by the MICCAI 2020 Challenge,and they were divided into training set(500 cases)and test set(100 cases)as the ratio of 5:1 to test the precise performance of multi-task 3D convolutional network.Results:The precise performance of multi-task 3D convolutional network method was better than that of single-task FracNet,3D RetinaNet and 3D Retina U-Net in detection,which average precision was respectively higher 7.8%and 11.4%than 3D RetinaNet and 3D Retina U-Net.It was better than two kinds of single-task network detection method included 3D Faster R-CNN and 3D Mask R-CNN,and the average precision of that was respectively higher 6.7%and 3.1%than them.Conclusion:The integrated different modules of global attention multi-task network can improve the detection performance of fine fracture.The introduction of grouped Non-local network method can further improve the precise performance for the targets of fine fractures in detection.

Medical diagnosis of lung nodules by fusing CT image feature extraction and improved SVM algorithm / 医疗卫生装备

Objective To propose a lung nodule diagnosis method based on CT image feature extraction and improved support vector machine(SVM)algorithm to enhance the accuracy and efficiency of automatic identification of lung nodules.Methods A cascade feature extraction method combining deep learning-based feature extraction and traditional manual extraction was used for CT image feature extraction,and the extracted features were input into an improved SVM algorithm to complete automated identification of lung nodules,using a multiple kernel learning support vector machine(MKL-SVM)algorithm and a particle swarm optimization(PSO)algorithm that integrated simulated annealing(SA)algorithm for parameter optimizing.The performance of cascade features was tested by comparing traditional feature extraction,deep learning-based feature extraction and cascade feature extraction.Comparison tests were performed using single kernel functions(RBF kernel,Sigmoid kernel and polynomial kernel functions)to validate the performance of the MKL-SVM algorithm.Tests were carried out using SVM functions with Sigmoid kernel to compare the fitness curves of the PSO algorithm and the PSO-SA algorithm for optimization to validate the effectiveness of the PSO-SA algorithm.Comparison analyses were conducted with the existing computer aided diagnosis(CAD)models of lung under the same dataset to verify the diagnostic efficacy of the proposed model of cascade features combined with improved MKL-SVM(cascade features with improved MKL-SVM,CF with MKL-SVM).Results The performance test results showed that cascade feature extraction had the F value with a mean value of 0.934 1,a maximum value of 0.957 3,a minimum value of 0.919 5 and a median value of 0.939 7,which behaved better in accuracy than manual feature extraction and deep learning-based feature extraction.The kernel function comparison test results indicated that the MKL-SVM algorithm had the best diagnostic performance with the mean value of F value of 0.924 3,the maximum value of 0.935 0 and the AUC value of 0.987 3.The Sigmoid kernel comparison test results found that PSO-SA al-gorithm had the best fitness value of 0.943 7,which gained advantages over the PSO algorithm.The model comparison test revealed that compared with the lung CAD model,the CF+MKL-SVM model had advantages in generalization ability,AUC value(0.9845),the values of all the indexes(all higher than 0.9),specificity and precision.Conclusion The proposed method can be used for automatic recognition of lung cancer and enhances the accuracy for detecting lung cancer.

A semi-supervised network-based tissue-aware contrast enhancement method for CT images / 南方医科大学学报

OBJECTIVE@#To propose a tissue- aware contrast enhancement network (T- ACEnet) for CT image enhancement and validate its accuracy in CT image organ segmentation tasks.@*METHODS@#The original CT images were mapped to generate low dynamic grayscale images with lung and soft tissue window contrasts, and the supervised sub-network learned to recognize the optimal window width and level setting of the lung and abdominal soft tissues via the lung mask. The self-supervised sub-network then used the extreme value suppression loss function to preserve more organ edge structure information. The images generated by the T-ACEnet were fed into the segmentation network to segment multiple abdominal organs.@*RESULTS@#The images obtained by T-ACEnet were capable of providing more window setting information in a single image, which allowed the physicians to conduct preliminary screening of the lesions. Compared with the suboptimal methods, T-ACE images achieved improvements by 0.51, 0.26, 0.10, and 14.14 in SSIM, QABF, VIFF, and PSNR metrics, respectively, with a reduced MSE by an order of magnitude. When T-ACE images were used as input for segmentation networks, the organ segmentation accuracy could be effectively improved without changing the model as compared with the original CT images. All the 5 segmentation quantitative indices were improved, with the maximum improvement of 4.16%.@*CONCLUSION@#The T-ACEnet can perceptually improve the contrast of organ tissues and provide more comprehensive and continuous diagnostic information, and the T-ACE images generated using this method can significantly improve the performance of organ segmentation tasks.

Novel Pulmonary Nodule Position Detection Method Based on Multiscale Convolution / 中国医疗器械杂志

OBJECTIVE@#In order to improve the accuracy of the current pulmonary nodule location detection method based on CT images, reduce the problem of missed detection or false detection, and effectively assist imaging doctors in the diagnosis of pulmonary nodules.@*METHODS@#Propose a novel method for detecting the location of pulmonary nodules based on multiscale convolution. First, image preprocessing methods are used to eliminate the noise and artifacts in lung CT images. Second, multiple adjacent single-frame CT images are selected to be concatenate into multi-frame images, and the feature extraction is carried out through the artificial neural network model U-Net improved by multi-scale convolution to enhanced feature extraction capability for pulmonary nodules of different sizes and shapes, so as to improve the accuracy of feature extraction of pulmonary nodules. Finally, using point detection to improve the loss function of U-Net training process, the accuracy of pulmonary nodule location detection is improved.@*RESULTS@#The accuracy of detecting pulmonary nodules equal or larger than 3 mm and smaller than 3 mm are 98.02% and 96.94% respectively.@*CONCLUSIONS@#This method can effectively improve the detection accuracy of pulmonary nodules on CT image sequence, and can better meet the diagnostic needs of pulmonary nodules.

PREVALENCE OF NEUROCYSTICERCOSIS IN AND AROUND OF RURAL KANCHIPURAM.

Cysticercosis has been reported as the most common illness affecting the central nervous system by cystic stage of Taenia. solium pork tapeworm. It is also referred as food borne zoonotic infection with T.solium larva or cysticercus stage in humans. Cysticercosis which affects central nervous system is called neurocysticercosis (NCC). The clinical manifestation of NCC largely depends on the number, type, size of the cysts, stage of development of cyst and degree of host immune response against the parasite. The present study aimed to assess the burden of Objectives: neurocysticercosis infection by CT imaging and antigen detection by ELISA in the community as well as hospital based patients. Blood samples were collected and antigen detection of cysticercosis by ELISA were done and CT Brain was Methods: done to con?rm the diagnosis of neurocysticercosis among the participants. The overall clinical presentation among Results: 640 subjects showed seizure as the major presentation 446 (69.69%). The overall results of the commercial-Ag-ELISA revealed 61 of 446 sera to be positive for Cysticercus antigen, and thus con?rming 13.68% total prevalence of neurocysticercosis in the study region. High index of exposure to T. solium cysticercosis in the study region of south Indian. An early Conclusion: diagnosis and appropriate treatment management can improve the quality of life of a patient.

A study of anatomical location of the low tibial tunnel in posterior cruciate ligament reconstruction based on CT images / 中华创伤骨科杂志

Objective:To measure the anatomical parameters of the simulated low tibial tunnel of posterior cruciate ligament (PCL) based on knee CT images so as to provide clinical reference for accurate location of the tunnel.Methods:The CT images of 201 healthy knee joints collected at Department of Orthopedics, The Second Hospital of Lanzhou University from June 2016 to September 2021 were used for simulation of the PCL low tibial tunnel. The anatomical parameters of the tibial tunnel were measured using the RadiAnt DICOM Viewer. The primary measures included the angle between tibial plateau and tibial tunnel (ATPT) and the perpendicular distances from the tibial tunnel entrance and exit point to the tibial plateau (L1 and L2). The secondary measures included the angle between tibial plateau and posterior slope (PSA), the angle between tibial anatomical axis and central line of tibial tunnel (ATAA), the angle between posterior tibial slope line and the central line of tibial tunnel (APST), the anterior and posterior diameter of tibial plateau (APD), the length of posterior tibial slope (LPTS), and the length of tibial tunnel (LTT). The measurement results were analyzed according to the body height (divided into 3 groups: a 1.00 to 1.60 m group, a 1.61 to 1.70 m group, and a ≥1.71 m group) and gender using the software IBM SPSS 26.Results:The primary measures: ATPT was 37.0°±4.5°, and L1 and L2 were respectively (57.8±7.4) mm and (34.5±3.3) mm. The secondary measures: PSA 128.1°±5.4°, ATAA 52.7°±4.1°, APST 89.1°±5.9°, APD was (32.9±2.6) mm, LPTS (20.5±2.4) mm, and LTT (40.9±5.7) mm. After grouping by gender, there was no significant difference in PSA between men and women ( P>0.05) while there were significant differences in the other indexes between men and women ( P<0.05). After grouping by body height, there was no significant difference in ATPT, PSA, APST or ATAA between the 3 groups (1.00 to 1.60 m group, 1.61 to 1.70 m group and ≥1.71 m group) ( P>0.05) while there were significant differences in L1, L2, APD, LPTS and LTT between the 3 groups ( P<0.05). Conclusions:Based on the knee CT images, the primary measures of PCL low tibial tunnel are as follows: the angle between tibial plateau and tibial tunnel is 37.0°±4.5°, and the perpendicular distances from the tibial tunnel entrance and exit point to the tibial plateau are (57.8±7.4) mm and (34.5±3.3) mm, respectively. Gender and body height are the important factors influencing the above measurement outcomes.

Prognostic prediction of the femoral head using osteonecrosis and contralateral regions based on CT images / 西安交通大学学报(医学版)

【Objective】 To develop a prognosis model based on CT images using radiomics method for patients with osteonecrosis of the femoral head (ONFH) and to investigate the additional prediction value of the imaging features of the contralateral normal femoral head regions for the prognosis prediction. 【Methods】 A total of 51 patients were included in this retrospective study. All the patients had preoperative CT images. For each patient, two regions of interest (ROIs) were involved, including the osteonecrosis region and the contralateral normal femoral head region. A total of 968 radiomics features were extracted for each patient. We made both the univariate and multivariable analyses. Three models were developed based on the features of osteonecrosis region, contralateral normal femoral head region, and both regions. The 10 times of repeated random experiments were used for model construction and validation. The average performance of the 10 times of experiments was reported as the results. 【Results】 For the features of osteonecrosis region, 37 features showed significant predictive value, with the mean AUC value of 0.708 2±0.029 9. The AUC of the constructed prediction model was 0.911 0±0.029 4 and 0.688 6±0.089 3 for the training set and validation set, respectively. For the features of contralateral normal femoral head region, 14 features showed significant predictive value, with the mean AUC value of 0.703 6±0.006 9. The AUC value of the constructed model for the training set and validation set was 0.867 2±0.039 5 and 0.669 0±0.072 6, respectively. For the models developed based on combined features, the AUC value was higher than that of the models developed based on osteonecrosis region features (training set: 0.935 8±0.016 6 vs. validation set: 0.737 9±0.090 8). 【Conclusion】 We developed a novel CT images-based radiomics method to predict postoperative prognosis in patients with ONFH. Furthermore, the features of contralateral normal femoral head region has additional prediction value. Combining the imaging features of osteonecrosis region and contralateral normal femoral head region can obtain more accurate prediction of prognosis in patients with ONFH.

Application of auto-importing of CT images and structures into treatment planning system based on UiBot software / 中华放射肿瘤学杂志

Objective:To build a systemic and automatic importing scheme for importing CT images and structures into the treatment planning systems (TPSs) of Eclipse and Monaco.Methods:Based on two TPSs of Eclipse and Monaco, the files of CT images and structures were automatically transported from OAR auto-delineation system to the importing directory of these two TPSs using batch script in Windows system. Following the standard importing procedures of these two TPSs, the automatically importing script of CT images and structures were developed using the application of UiBot. Finally, the CT images and structures were imported into these two TPSs opportunely.Results:By comparing the importing time using script and manual methods, the script not only achieved auto-importing CT images and structures into TPSs, but also yielded almost the same efficiency to manual method. The number of imaging layers in most patients was between 130 and 180, and the average manual and automatic importing time within this interval was 76 s and 75 s.Conclusions:Automatic scripts can be developed by using the automation function of UiBot combined with the actual problems of radiotherapy and repeated workflow. The efficiency of radiotherapy work can be significantly improved. Manual and time costs can be saved. It provides a novel alternative for the automation of radiotherapy procedures.

CT Image-based Surgery Assist System for Left Atrial Appendage Occlusion / 中国医疗器械杂志

At present, the standard left atrial appendage occlusion procedure mainly involves two-dimensional imaging methods such as X-ray fluoroscopy and transesophageal echocardiography to guide the operation, which will lead to underestimation of the three dimensional structure of the left atrial appendage and the surrounding tissue, thus adversely affects the surgery. To solve this problem, a surgery assist system for left atrial appendage occlusion based on preoperative cardiac CT images is developed. The proposed system realizes the left atrial appendage parameter measurement based on cardiac CT image, and realizes the calculation of optimal delivery sheath trajectory and three-dimensional simulation of the delivery sheath movement on the basis of a novel delivery sheath trajectory model. The system is expected to provide precise guidance for left atrial appendage occlusion, improve the success rate and safety of the operation, and at the same time help reduce the difficulty of learning the operation, and facilitate the promotion of left atrial appendage occlusion.

Chest CT comparison of ground glass opacity-like 2019 novel coronavirus pneumonia and early-stage lung carcinoma / 中国胸心血管外科临床杂志

@#Objective    To investigate CT image features of ground glass opacity (GGO)-like 2019 novel coronavirus (2019-nCoV, SARS-CoV-2) pneumonia (COVID-19) and early-stage lung carcinoma for control and therapy of this acute severe respiratory disease. Methods    We retrospectively analyzed the clinical data of 71 GGO-like COVID-19 patients who received therapy in Tongji Hospital of Huazhong University of Science and Technology between January 17th and February 13th, 2020. These 71 GGO-like COVID-19 patients were as a COVID-19 group. And 80 GGO-like early-stage lung carcinoma patients who underwent resection were as a lung carcinoma group. Clinical features such as sex, age, symptoms including fever, cough, fatigue, myalgia and dyspnea, detailed exposure history, confirmatory test (SARS-CoV-2 quantitative RT-PCR) and pathologic diagnosis were analyzed. Results    Significantly different symptoms and exposure history between the two groups were detected (P<0.001). More lesions (61 patients at percentage of 85.92%, P<0.001), relative peripheral locations (69 patients at percentage of 97.18%, P<0.001) and larger opacities (65 patients at percentage of 91.55%, P<0.001) were found in chest radiographs of GGO-like COVID-19 compared with GGO-like early-stage lung carcinoma. Similar features appeared in early-stage of COVID-19 and lung carcinoma, while pneumonia developed into more extensive and basal predominant lung consolidation. Coexistence of GGO-like COVID-19 and early-stage lung carcinoma might occur. Conclusion    Considering these similar and unique features of GGO-like COVID-19 and early-stage lung carcinoma, it is necessary to understand short time re-examination of chest radiographs and other diagnostic methods of these two diseases. We believe that the findings reported here are important for diagnosis and control of COVID-19 in China.

Morphologic and morphometric analysis of glenoid cavity of human scapula

Background: To study the morphometry and morphology of glenoid cavity of dried scapula bone and in CT scan of glenoid cavity. The present study aimed at calculating three dimensions i.e. vertical diameter, horizontal diameter of the upper segment and horizontal diameter of the lower segment of the glenoid cavity and describing the incidence of its different shapes.Methods: This study was done on 100 dry, unpaired adult human scapulae of unknown sex. 50 scapulae belongs to right side and 50 scapulae belongs to left side obtained from Department of Anatomy, SRM Medical College and Research Institute. The above mentioned diameters are measured using Vernier caliper and the mean dimensions are calculated, morphological variations are studied. 3D CT images of scapulae, obtained from Department of Radiology, SRM Medical college and Hospital, Potheri, were also analysed.Results: In the current study, various dimensions and incidence of various shapes of glenoid cavity were measured. The incidence of both pear and inverted comma shape in right side is greater than in left whereas the incidence of oval shape in left side is greater than right side. The SI diameter of right glenoid is greater than the left, which is statistically significant. The Antero-posterior diameters (AP-1, AP-2, AP-3) of right glenoid is greater than the left, but not statistically significant.Conclusions: The knowledge of the above said variations of glenoid cavity is important in manufacturing the glenoid component of shoulder prosthesis, repair of Bankart’s lesion, procedures like posterior glenoid osteotomy.

Study on the relationship between CT image texture changes of parotids and acute xerostomia during radiation treatment for head and neck cancer / 中华放射医学与防护杂志

Objective To investigate the relationship between parotid image texture and acute radiation xerostomia (grade) during radiotherapy in patients with head and neck cancer.The mathematical model was established to predict the severity of radiation dry mouth in the early stage.Methods 23 patients with head and neck cancer treated with radiotherapy were observed.The degree of xerostomia was evaluated according to RTOG criteria.The weekly validated CT images of these patients during radiotherapy were collected and transmitted to the MIM system to outline the parotid gland,and an internal analysis program was developed in MATLAB (R2013a).The changes of texture features of weekly parotid CT images during radiotherapy were analyzed,including mean CT value (MCTN),standard deviation (STD),skewness,kurtosis,entropy and volume.The mathematical model was established,and the KNN method was used to optimize the model and predict the level of xerostomia.Results There was no significant correlation among the changes of MCTN,volume and the degree of xerostomia (P ＞ 0.05).However,according to the weekly changes of MCTN and volume,the model was established to predict the grade of xerostomia with an accuracy of 99％.Conclusions The changes of parotid gland MCTN and volume were significantly correlated with acute radiation xerostomia during radiotherapy for head and neck cancer,and the MCTN changes can be used to predict the severity of xerostomia in the early stage.

An analysis of 200 cases of abdominal enhancement scan on the 64-row CT scan / 中国基层医药

Objective To discuss the main points of abdominal enhancement scanning on the 64-row spiral CT.Methods 200 patients with CT scan were selected .For patients with abdominal CT scan ,the contrast agent was used in accordance with the 1.5mL/kg,handle and dorsal vein with high pressure syringe injection ,the pressure of 300 pounds,flow rate of 2.5mL/s,note medicine before scanning ,note after the drug was not phase scanning 2-3 times at the same time.Results 180 cases showed the abdominal aorta ,hepatic artery,splenic artery,hepatic portal vein branch,portal vein,and inferior vena cava.In 20 cases,the results were not ideal,and 3 cases failed.Conclusion The upper abdomen enhancement scan of the 64-row CT scan can obtain satisfactory images to meet clinical needs .

Hemodynamic Analysis of Stanford Type B Aortic Dissection Based on Computational Fluid Dynamics / 医用生物力学

Objective To analyze the hemodynamic parameters of Stanford type B aortic dissection based on computational fluid dynamics (CFD), so as to make a thorough evaluation of the disease.Methods Based on CTA images of a patient with complex Stanford type B aortic dissection, the three-dimensional model and hemodynamic numerical simulation were carried out to analyze the velocity distribution of flow field and intersecting fracture profile, as well as the wall shear stress. Results The maximum velocity of blood flow at the entry tear and re-entry tear could reach 1.2 m/s and 2 m/s, respectively, providing references for further evaluation on aortic rupture position and prediction of aortic rupture risk. An obvious low wall shear stress zone was formed on false lumen wall near the entry tear, which was consistent with the thrombus position in the patient. Conclusions CFD could effectively analyze the hemodynamic characteristics of complex aortic dissection, obtain the correlation between aortic dissection and wall shear stress at aorta arch and descending aorta, which contributed to guiding clinical assessment of aortic function for preventing the diseases.

Simulation of sparse views CT image iterative reconstruction based on defective projection data / 医疗卫生装备

Objective To reconstruct sparse views CT image based on defective projection data.Methods The position of bad bins in detector determined whether the linear interpolation was applied to the defective projection data.Moreover,reconstruction of air pixels in CT image was achieved rapidly and accurately.Results he experimental results showed that the proposed method could solve the problem from classical ART-TV method that the robustness was unstable due to the different positions of bad bin in CT detector.Conclusion Compared to analytical reconstruction methods,iterative methods can solve the reconstruction problems in this modality so that the radiologist is facilitated to perform image processing and quantitative analysis.

Comparative study on the effects of different concentrations of Iopromide Injection on liver tissue imaging and adverse reactions / 中国生化药物杂志

Objective To investigate the effects of different concentrations of iopromide injection on liver tissue imaging and adverse reactions. Methods Selected 150 patients of liver without substantial disease patients, were randomly divided into A group (n=50) and B group (n=50) and C group (n=50), after the abdominal plain, Iopromide Injection injection enhanced scan of the abdominal aorta, portal vein, 5 hepatic tissue, strengthen the evaluation value and the adverse reactions were observed, compared with different concentrations of Iopromide Injection imaging effect and adverse reaction of liver tissue. Results A group was injected with 370 mg/mL Iopromide Injection after abdominal aorta was 249.21, the enhancement of portal vein was 132, B group were injected with 350 mg/mL value of 229.32 Iopromide Injection portal vein enhancement, portal vein enhancement value was 121.32, C group were injected with 300 mg/mL Iopromide Injection hepatic enhancement value was 239.21, the enhancement of portal vein was 98.32, the A group and B group, there was significant difference with C group (P<0.05). There was no significant difference in adverse reactions between the three groups when injected with different concentrations of iopromide injection. Conclusion The results show that the imaging effect is better with the increase of concentration, and there is no significant difference between the patients with high concentration contrast agent and low concentration contrast agent.

Comparative study on the effects of different concentrations of Iopromide Injection on liver tissue imaging and adverse reactions / 中国生化药物杂志

Objective To investigate the effects of different concentrations of iopromide injection on liver tissue imaging and adverse reactions. Methods Selected 150 patients of liver without substantial disease patients, were randomly divided into A group (n=50) and B group (n=50) and C group (n=50), after the abdominal plain, Iopromide Injection injection enhanced scan of the abdominal aorta, portal vein, 5 hepatic tissue, strengthen the evaluation value and the adverse reactions were observed, compared with different concentrations of Iopromide Injection imaging effect and adverse reaction of liver tissue. Results A group was injected with 370 mg/mL Iopromide Injection after abdominal aorta was 249.21, the enhancement of portal vein was 132, B group were injected with 350 mg/mL value of 229.32 Iopromide Injection portal vein enhancement, portal vein enhancement value was 121.32, C group were injected with 300 mg/mL Iopromide Injection hepatic enhancement value was 239.21, the enhancement of portal vein was 98.32, the A group and B group, there was significant difference with C group (P<0.05). There was no significant difference in adverse reactions between the three groups when injected with different concentrations of iopromide injection. Conclusion The results show that the imaging effect is better with the increase of concentration, and there is no significant difference between the patients with high concentration contrast agent and low concentration contrast agent.

A clinical research on acupuncture for treatment of infantile acute brain injury / 中国中西医结合急救杂志

ObjectiveTo observe the clinical efficacy of acupuncture for treatment of children with acute brain injury.Methods A prospective study was conducted. Sixty-one children with brain injury admitted to Guiyang Maternal and Child Health Hospital from January 2014 to April 2016were enrolled, and they were randomly divided into acupuncture group (31 cases), and conventional treatment control group (30 cases). All cases with operation indications received craniotomy and tracheal intubation, and after operation symptomatic treatment, ventilator assistance, etc. were given to the patients; in acupuncture group,acupuncture was applied after vital signs were stable, the main acupoints being neiguan, renzhong, sanyinjiao, siguan, yongquan, baihui, shixuan, etc. once needle retention time at points 30 minutes, 5 times a week, 10 times for a therapeutic course, the therapeutic course being 2 weeks. The therapeutic effects were evaluated according to the modified Glasgow coma scale (GCS) and the CT image scoring method. Results After treatment, the coma (GCS) and brain injury (CT score) situations in the acupuncture group were more significantly improved than those in control group (P 0.05). The time of treatment in acupuncture group were significantly shorten compared with that of the control group (weeks: 2.7±0.7 vs. 3.7±0.4,P < 0.01). The total effective rate of acupuncture group was significantly higher than that of control group [90.3% (28/31) vs. 70.0% (21/30),P < 0.05].Conclusion Acupuncture has a significant effect for treatment of children with acute brain injury.

Research on registration and fusion of CT liver images in artery and vein phase / 国际生物医学工程杂志

Objective To study the extraction,registration and fusion of the image contour of liver CT scan sequence.Methods Filtering method was used to remove the noise and enhance the edge of the image,and then the contour of the CT image was extracted.According to the optimal registration parameters,the hepatic arterial phase and venous phase images were registered,and the corresponding relationship between the arterial and venous images was determined.At last,the CT images of the arterial and venous phase were fused.Results After fusing the corresponding arterial and venous images,condition of liver artery and vein of the same cross section in different phase periods could be observed.Conclusions Fused image can offer richer image information to doctors for diagnosis.