The medical image registration between preoperative three-dimensional (3D) scan data and intraoperative two-dimensional (2D) image is a key technology in the surgical navigation. Most previous methods need to generate 2D digitally reconstructed radiographs (DRR) images from the 3D scan volume data, then use conventional image similarity function for comparison. This procedure includes a large amount of calculation and is difficult to archive real-time processing. In this paper, with using geometric feature and image density mixed characteristics, we proposed a new similarity measure function for fast 2D-3D registration of preoperative CT and intraoperative X-ray images. This algorithm is easy to implement, and the calculation process is very short, while the resulting registration accuracy can meet the clinical use. In addition, the entire calculation process is very suitable for highly parallel numerical calculation by using the algorithm based on CUDA hardware acceleration to satisfy the requirement of real-time application in surgery.
ObjectivesTo analyze the research status and hot spots of hypertension-related clinical trials in special Chinese population registered on the Chinese Clinical Trial Registry (ChiCTR), so as to provide a basis for the development of hypertension-related research in special population in China.MethodsThe ChiCTR was searched online (up to August 31st, 2019, no limitation in the status of trial registration), all clinical trials on hypertension in special population were collected, and the general characteristics, researched diseases, research types, intervention measures and main outcomes of the trials were analyzed.ResultsA total of 64 hypertension-related clinical trials in special population registered in the ChiCTR were included, including 41 (64.1%) trials registered in last 3 years. The registration status of 46 (71.9%) trials was pre-registration. The registered authors were mainly from colleges and universities or medical institutions (n = 61, 95.3%), of which 60.9% were registered in Beijing, Shanghai, Guangdong, Zhejiang, Jiangsu and Hebei. The researched diseases mainly included elderly hypertension and hypertensive stroke, accounting for 50% of the total. Additionally, 37 (57.8%) clinical trials were intervention studies, of which 21 (56.7%) were drug-based intervention studies. Blood pressure, blood glucose, cardiovascular and cerebrovascular events, blood lipid, cranial MRI and Glasgow Coma Scale were the commonly used outcomes, accounting for 58.5% of the total outcomes. Most blood pressure measurements did not indicate the measurement method (n = 22, 64.7%).ConclusionsThe quantity of hypertension-related clinical trials in special population registered on the ChiCTR is increasing, however, there exists regional imbalance. The drug intervention-related clinical trials of elderly hypertension have become a research hot spot. However, blood pressure measurement method is not indicated in most trials, and some researchers do not register in time. Therefore, it is suggested that researchers should further strengthen the awareness of carrying out high-quality clinical trials.
Mitral valve disease is one of the most popular heart valve diseases. Precise positioning and displaying of the valve characteristics is necessary for the minimally invasive mitral valve repairing procedures. This paper presents a multi-resolution elastic registration method to compute the deformation functions constructed from cubic B-splines in three dimensional ultrasound images, in which the objective functional to be optimized was generated by maximum likelihood method based on the probabilistic distribution of the ultrasound speckle noise. The algorithm was then applied to register the mitral valve voxels. Numerical results proved the effectiveness of the algorithm.
Objective The baseline, clinical characteristics, and risk factors were analyzed in the stroke registry program of the Xinjiang Production Constraction Corp’s Hospital aimed to aid the clinical management and stroke prevention. Method A single center prospective method based on Lausanne Stroke Registry was used in this study. Patients generally, past history, living conditions, onset to treatment time, the stroke scale were collected with 1 year follow up. The investigators of follow up were single blinded. Result Eight hundred and ten ischemic stroke patients were included, of which 478 (59.01%) were male, 332 (40.99%) were female. The average age of these patients was 66.50±10.66 years. One year loss rate of follow up was 4.64%. Seven hundred and sixty-nine patients were diagnosis as acute cerebral infarction, 41 patients were TIA. The median time from onset to treatment was 15 hours. Lacunar infarction was the most common type with 334 (43.43%) patients. The average score of the National Institutes of Heath Stroke Scale was 5.55±7.24. The incidence of carotid artery plaque was 82.2%. Conclution Xinjiang region has its own characteristics of stroke with a higher carotid artery plaque rate and thrombolytic therapy ratio. Good stroke registration system could standardize the clinical behavior and promote the continuous improvement of medical quality.
A fitting method of calculating local helix parameters of proteins based on dual quaternions registration fitting (DQRFit) is proposed in this paper. First, the C and N atom coordinates of each residue in the protein structure data are extracted. Then the unregistered data and reference data are constructed using the sliding windows. The square sum of the distance of the data points before and after registration is regarded as an optimization goal. We calculate the optimal rotation matrix and the translation vector using the dual quaternion registration algorithm, and get the helix parameters of the secondary structure which contain the number of residues per turn(τ), helix radius(ρ)and helix pitch(p). Furthermore, we can achieve the fitting of three-helix parameters of τ, ρ, p simultaneously with the dual quaternion registration, and can adjust the sliding windows to adapt to different error levels. Compared with the traditional helix fitting method, DQRFit has some advantages such as low computational complexity, strong anti-interference, and high fitting accuracy. It is proven that the precision of proposed DQRFit for α helix detection is comparable to that of the dictionary of secondary structure of proteins (DSSP), and is better than that of other traditional methods. This is of great significance for the protein structure classification and functional prediction, drug design, protein structure visualization and other fields in the future.
Objective To evaluate the quality of the registration information for trials sponsored by China registered in the WHO International Clinical Trial Registration Platform (ICTRP) primary registries or other registries that meet the requirements of the International Committee Medical Journal Editor (ICMJE). Methods We assessed the registration information for trials registered in the 9 WHO primary registries and one other registry that met the requirements of ICJME as of 15 October 2008. We analyzed the trial registration data set in each registry and assessed the registration quality against the WHO Trial Registration Data Set (TRDS). We also evaluated the quality of the information in the Source(s) of Monetary or Material Support section, using a specially prepared scale. Results The entries in four registries met the 20 items of the WHO TRDS. These were the Chinese Clinical Trial Registration Center (ChiCR), Australian New Zealand Clinical Trials Registry (NZCTR), Clinical Trials Registry – India (CTRI), and Sri Lanka Clinical Trials Registry (SLCTR). Registration quality varied among the different registries. For example, using the Scale of TRDS, the NZCTR scoreda median of 19 points, ChiCTR (median = 18 points), ISRCTN.org (median = 17 points), and Clinical trials.org (median = 12 points). The data on monetary or material support for ChiCTR and ISRCTN.org were relatively complete and the score on our Scale for the Completeness of Funding Registration Quality ranged from ChiCTR (median = 7 points), ISRCTN.org (median = 6 points), NZCTR (median = 3 points) to clinicaltrials.gov (median = 2 points). Conclusion Further improvements are needed in both the quantity and quality of trial registration. This could be achieved by full completion of the 20 items of the WHO TRDS. Future research should assess ways to ensure the quality and scope of research registration and the role of mandatory registration of funded research.
Objective To understand the outpatients, evaluation and demands of the real-name registration system. To implement the new medical reform program deeply. Methods We used the questionnaire named registration questionnaire of West China Hospital designed by ourselves to survey the outpatients and their family members and were filled in the questionnaire by themselves. Results Firstly, real-name registration system in West China Hospital made major contribution to alleviate the difficulties of registration and medical treatment. It achieved a major breakthrough and created a good social benefit. Secondly, patients the most favourite way of registration was by phone. They were satisfied with the platform of the social welfare services very much. Thirdly, the number of appointment registration arrived year by year, while the number of the day registration fell year by year. Conclusion Firstly, we innovate the form of the realname registration system, refine service and do scientific management at the needs of the patient-oriented. Secondly, we strengthen the track of the failure of appointment registration and analyze the causes. We should take measures timely to reduce the rate of the event and improve the real-name registration system. Thirdly, we strengthen the management of the out-patient doctor visiting program and credit services, to improve medical compliance rate and protect the interests of the patients. Fourthly, we explore a scientific research of out-patient real-name registration system to establish a modern hospital out-patient services model.
Based on previous evidence-based researches and teaching experience, our team conducted literature and book review, and summarized 4 requirements, 1) effect measure calculation and conversion, 2) registration of evidence-based research, 3) evidence-based research database and 4) quality evaluation tools and reporting guidelines. We developed an online platform of evidence-based medicine research helper using the front-end and back-end technology, which can be accessed using www.ebm-helper.cn. Currently, the online tool has included 46 scenarios for effect measure calculation and conversion, introduction of 7 evidence-based research registration platforms, 26 commonly used databases for evidence-based research and 29 quality evaluation tools and reporting guidelines. This online tool can help researchers to solve specific problems encountered in different stages of evidence-based medicine research. Promoting the application of this platform in evidence-based medicine will help researchers to use the tool scientifically and improve research efficiency.
Complete three-dimensional (3D) tooth model provides essential information to assist orthodontists for diagnosis and treatment planning. Currently, 3D tooth model is mainly obtained by segmentation and reconstruction from dental computed tomography (CT) images. However, the accuracy of 3D tooth model reconstructed from dental CT images is low and not applicable for invisalign design. And another serious problem also occurs,i.e. frequentative dental CT scan during different intervals of orthodontic treatment often leads to radiation to the patients. Hence, this paper proposed a method to reconstruct tooth model based on fusion of dental CT images and laser-scanned images. A complete 3D tooth model was reconstructed with the registration and fusion between the root reconstructed from dental CT images and the crown reconstructed from laser-scanned images. The crown of the complete 3D tooth model reconstructed with the proposed method has higher accuracy. Moreover, in order to reconstruct complete 3D tooth model of each orthodontic treatment interval, only one pre-treatment CT scan is needed and in the orthodontic treatment process only the laser-scan is required. Therefore, radiation to the patients can be reduced significantly.