It is a key technique of C-arm based surgical navigation to recognize circular objects and extract their geometric data from XRII images. Previous methods possess low detecting & extracting accuracy and low reliability. In this paper, we proposed a hybrid object detecting algorithm. Firstly, an improved Circle Hough Transform (CHT) was used to obtain the accumulative space, and the section of the space was used to acquire a binarized image. Secondly, connected component analysis method was used to recognize circular objects and extract their areas and center coordinates. In the improved CHT, mask and integral operator were redefined. In the connected component analysis, a new circle measurement was used. Results of the study showed that the proposed algorithm possesses high detecting ratio, high detecting accuracy, and reliability.

C-arm based surgical navigation is a typical computer assisted surgery technique; it takes XR II images as carriers,and helps surgeons with high quality operation by demonstrate operating entity virtually. In this paper, we focused on some issues concerning C-arm based surgical navigation technique, including the system operation theory, key techniques, consisting parts,main application, advantages and shortcomings. On this basis, we also discussed the development trend of this kind of surgical navigation technique.

Considering the problems such as reposition limited, easily detached and singly fired of the existing clip products, we developed an endoscopic multiple-clip applier which can apply 4 clips fired successively at a time. Th instrument also equipped with an independent grasper which can be used to clamp target tissues. In order to explor its feasibility and effectiveness of endoluminal closure of gastric perforation, 22 pig stomachs were making a 1 cm full-thickness incision from outside and closed by multiple-clip applier (n = 12) in vitro. Outcome was measured by bursting pressure and compared with negative control (n = 5) and hand suture (n = 5). We set a threshold pressure value (10 mm Hg) for a secure closure. Except 2 cases of invalid data, the mean bursting pressures of negative control, multiple-clip applier, hand suture were (1.5 ± 0.3) mm Hg, (46.0 ± 7.1) mm Hg, and (72.5 ± 7.7) mm Hg, respectively. The results showed that bursting pressure of multiple-clip applier was significantly higher than that of negative control (P < 0.05) and threshold value. Multiple-clip applier can be served as an effective and safe device to perform the endoluminal closure of gastric perforation.
Animals ; Endoscopy ; Equipment Design ; Stomach Diseases ; surgery ; Surgical Instruments ; Swine

Objective To investigate the value of improving the prediction accuracy of near-term risk for developing breast cancer by transforming the original mammography image and fusing the different types of image features using the algorithm of machine learning.Methods The craniocaudal (CC) full-field digital mammography (FFDM) of 185 women were downloaded from the clinical database at the university of Pittsburgh medical center.Firstly,the original gray images were segmented and transformed into virtual optical density images.Then the asymmetry features were separately extracted from original gray images and virtual optical density images.Two decision tree classifiers of the first stage were trained based on the features extracted from two types of image.And the scores output from the two classifiers were used as input to train the second stage of one decision tree classifier.Leave-one-case-out method was used to validate the prediction performance of near-term risk of breast cancer.Results Using two-stage decision tree fusion method to predict breast cancer,the area under the ROC curve (AUC) was 0.9612±0.0132.And the sensitivity,specificity and prediction accuracy were 96.63％(86/89),91.67％(88/96) and 94.05％(174/185).Conclusion The features extracted from virtual optical density image have higher discriminatory power of predicting breast cancer.Fusing the two kinds of image features twice by two-stage decision tree method can help to improve the prediction accuracy of near-term risk of breast cancer.

Objective: To explore the necessity for application of bone wax stanching bleeding at sternal edge in cardiac surgery by median sternotomy. Methods: A total of 445 patients who receive cardiac surgery by the same surgeon performing median sternotomy in our hospital from 2011-01 to 2014-12 were studied. According to application of bone wax stanching bleeding, the patients were divided into 2 groups: Bone wax group,n=210 and Non-bone wax group,n=235. Re-thoracotomy for hemostasis, 12 h, 24 h and total draining volume after the operation and time of closing incision were compared between 2 groups. Results: There were 2 patients and 1 patient received re-thoracotomy for hemostasis in Bone wax group and Non-bone wax group respectively, which was not related to bone marrow cavity bleeding. In Bone wax group and Non-bone wax group, the draining volume at 12 h post-operation were (451 ± 240) ml vs (483 ± 238) ml, at 24 h post-operation were (615 ± 304) ml vs (639 ± 285) ml and the total volume were (842 ± 467) ml vs (842 ± 364) ml, allP>0.05; the time of closing incision were (68.0 ± 23.0 ) min vs (66.0 ± 19.0 ) min,P>0.05; the total transfusion rates were 21% vs 19%,P>0.05. Conclusion: Application of bone wax at sternum edge could neither affecting the drainage nor the speed of closing incision in cardiac surgery and therefore, it might be given up.

Objective:To establish and evaluate the effect of graded training mode of clinical nutrition nursing in general hospital.Methods:A clinical nutrition nursing group was established, including core management group, quality control group, education and training group and liaison nurse group. Hierarchical training and practice of clinical nutrition nursing was conducted throughout the hospital, and effect of training was evaluated.Results:The nurses' nutrition knowledge increased from (66.60±9.72) to (85.06±7.85) points, nutrition attitude increased from (72.38±5.55) to (92.50±5.10) points, nutrition behavior increased from (66.87 ± 6.83) to (88.76 ± 7.60) points, and the differences were statistically significant ( t values were -15.520, -11.128, -12.238, P<0.01). The nutritional risk screening rate and nutritional intervention rate of patients were improved to 100%, and the academic level of nurses in nutritional nursing was further improved. Conclusion:The application of graded training mode of clinical nutrition nursing can improve nurses' nutritional knowledge and skills, improve nurses' professional and academic level, and improve patient clinical outcomes.

XRII image distortion correction is a key technique in a C-arm-based surgical navigation system. In this paper, we present a new correction method, which integrates the method of moving least squares(MLS) and the method of multilevel B-spline approximation (MBA). Experiments show that the proposed method leads to good outcome of image correction and it is more accurate than the exsiting correction methods.
Algorithms ; Calibration ; Humans ; Radiographic Image Enhancement ; methods ; Radiographic Image Interpretation, Computer-Assisted ; methods ; Surgery, Computer-Assisted ; methods ; Tomography, X-Ray Computed ; instrumentation ; methods

Extracting landmark geometric data in C-arm X-ray images is a key technique of camera calibration process in a fluoroscopic-image-based surgical navigation system. The geometric data is the basis of X-ray image distortion correction and C-arm camera calibration. In this paper we present an integrated clustering algorithm for landmark geometric data extraction. This proposed alorithm, with the advantages of an adaptive thresholding method as well as of a fast quasi connected-component labeling method, needs only one pass to extract the needed geometric data in a gray scale image. It is of high executive efficiency and good robustness as well.
Algorithms ; Calibration ; Humans ; Image Processing, Computer-Assisted ; methods ; Radiographic Image Enhancement ; methods ; Radiographic Image Interpretation, Computer-Assisted ; Surgery, Computer-Assisted ; methods

Objective:This study aimed to construct a lentiviral expression vector for microRNA-194 and investigate its effect on the metastasis of human osteosarcoma cell line U2-OS. Methods:Pri-and mature miR-194 amplified by PCR were inserted into the plenty-GFP vector and identified by restriction endonuclease digestion and nucleotide sequencing. The osteosarcoma cell line U2-OS was transfected with the lentivirus. Then, the stable transfected cells were used in Transwell and wound healing assay. Results:Restric-tion analysis and sequencing showed that the recombinant lentiviral expression vector was constructed correctly. The titers of obtained overexpression and suppression expression recombinant lentivirus were 1.5*108 and 4*108 TU/ml. Cell metastasis ability was signifi-cantly different in different experimental groups (P<0.01). Conclusion:The lentiviral expression vector for microRNA-194 was suc-cessfully constructed. MicroRNA-194 could influence the metastasis of the osteosarcoma cell line U2-OS;thus, it could be further ex-plored as a potential target in osteosarcoma therapy.

Seeing that there are several defects in the calibration target currently used in C-arm-based surgical navigation system, we propose an improved design of calibration target based on the theory of generalized mapping. The method of design is introduced, the analysis is made, and the results are reported. The newly designed calibration target is of low manufacturing difficulty and cost; with the new calibration target, the running efficiency and the image quality of the whole navigation system could be improved. The new calibration target is found to be of several advantages over the currently used ones; it is feasible and is under manufacturing already.
Calibration ; standards ; Computer-Aided Design ; Equipment Design ; Image Processing, Computer-Assisted ; instrumentation ; Surgery, Computer-Assisted ; instrumentation ; Tomography, X-Ray Computed ; instrumentation