Journal of Medical Imaging and Health Informatics最新文献

{"title":"Image Texture Based Hybrid Diagnostic Tool for Kidney Disease Classification","authors":"P. Sreelatha, M. Ezhilarasi","doi":"10.1166/jmihi.2018.2527","DOIUrl":"https://doi.org/10.1166/jmihi.2018.2527","url":null,"abstract":"The identification of chronic medical conditions and its associated mortality has led to the emergence of less invasive methods for medical diagnostic imaging. This work proposes a Computer Aided Diagnostic tool useful in automatic classification of kidney images as normal, simple cysts,\u0000 kidney stones and the less investigated complex cystic renal cell carcinoma. The first part of the work investigates an effective despeckling algorithm with a proposed adaptive wavelet based denoising technique. Encouraging increased PSNR values ranging from 15 dB to 24 dB were obtained. Second\u0000 part of work suggests a set of wavelet coefficient based feature set which showed a classification accuracy of 92.2%, better by 20.3% to 0.8% against existing methods. The final part of the work to develop a complete tool for kidney image classification combines the proposed wavelet based\u0000 features with three existing statistical based feature sets yielded a classification accuracy of 96.9%. The suggested features were extracted from the region of interest from an image set. A reduced feature set of 18 from the original size of 163 was obtained using principal component analysis\u0000 and applied for training a support vector machine classifier.","PeriodicalId":49032,"journal":{"name":"Journal of Medical Imaging and Health Informatics","volume":"1 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72597131","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Automated Electrocardiogram Signals Based Risk Marker for Early Sudden Cardiac Death Prediction","authors":"K. Alfarhan, M. Y. Mashor, A. Zakaria, M. Omar","doi":"10.1166/JMIHI.2018.25311769","DOIUrl":"https://doi.org/10.1166/JMIHI.2018.25311769","url":null,"abstract":"Sudden cardiac death (SCD) is one of the cardiovascular diseases that lead to millions of deaths worldwide every year. The aim of the present work is to propose a method for reducing the mortality rate of the SCD patients by an early prediction for SCD from the ECG signal. Normal and\u0000 SCD MIT databases were used in this research work. One minute segments of ECG signals were segmented from MIT databases where these segments are ten minutes before sudden cardiac arrest (SCA) onset. The collected raw ECG signals were subjected to filter to remove the noise and then normalized.\u0000 A frequency-domain feature and time-domain features were extracted from the Q-T segment, Q-T interval, R-R interval and QRS interval. The features were normalized to improve the performance of the classifier. Artificial intelligence classifiers; namely, K-nearest neighbor (KNN) and\u0000 linear discriminant analysis (LDA) were used separately on SCD and normal ECG signals. The highest classification accuracy obtained for KNN and LDA are 97% and 95.5% respectively.","PeriodicalId":49032,"journal":{"name":"Journal of Medical Imaging and Health Informatics","volume":"94 2 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88473734","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Novel Texture Analysis Method Based on Reverse Biorthogonal Wavelet and Co-Occurrence Matrix Applied for Classification of Hepatocellular Carcinoma and Hepatic Hemangioma","authors":"Jia-Jun Qiu, Yue Wu, Bei Hui, Jia Chen, Lin Ji, Min Wang","doi":"10.1166/JMIHI.2018.2516","DOIUrl":"https://doi.org/10.1166/JMIHI.2018.2516","url":null,"abstract":"Purpose: To explore the feasibility of classifying hepatocellular carcinoma (HCC) and hepatic hemangioma (HEM) using texture features of non-enhanced computed tomography (CT) images, especially to investigate the effectiveness of a novel texture analysis method based on the combination\u0000 of wavelet and co-occurrence matrix. Methods: 269 patients were retrospectively analyzed, including 129 HCCs and 140 HEMs. We cropped tumor regions of interest (ROIs) on non-enhanced CT images, and then used four texture analysis methods to extract quantitative data of the ROIs: gray-level\u0000 histogram (GLH), gray-level co-occurrence matrix (GLCM), reverse biorthogonal wavelet transform (RBWT), and reverse biorthogonal wavelet co-occurrence matrix (RBCM). The RBCM was a novel method proposed in this study that combined wavelet transform and co-occurrence matrix. It discretized\u0000 wavelet coefficient matrices based on the statistical characteristics of the training set. Thus, four sets of texture features were obtained. We then conducted classification studies using support vector machine on each set of texture features. 10-fold cross training and testing were used\u0000 in the classifications, and their results were evaluated and compared. In addition, we tested the significant differences in the texture features of the RBCM method and explored the possible relationships between textures and lesion types. Results: The RBCM method achieved the best\u0000 classification performance: its average accuracy was 82.14%; its average AUC (area under the receiver operating characteristic curve) was 0.8423. In addition, using the methods of GLH, GLCM, and RBWT, their average accuracies were 75.81%, 78.79%, and 78.8%, respectively. Conclusions:\u0000 It indicates that the developed texture analysis methods are rewarding for computer-aided diagnosis of HCC and HEM based on non-enhanced CT images. Furthermore, the distinguishing ability of the proposed RBCM method is more pronounced.","PeriodicalId":49032,"journal":{"name":"Journal of Medical Imaging and Health Informatics","volume":"22 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82473319","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Special Section on Emerging Trends in Health Informatics","authors":"E. Abdulhay","doi":"10.1166/jmihi.2018.2520","DOIUrl":"https://doi.org/10.1166/jmihi.2018.2520","url":null,"abstract":"","PeriodicalId":49032,"journal":{"name":"Journal of Medical Imaging and Health Informatics","volume":"14 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85333632","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Analysis on Clinical Effect of Laparoscopic Surgery in the Treatment of Ovarian Endometriosis Cyst and Prevention of Its Recurrence","authors":"Xin Jin, Nannan Wang, Guilin Li","doi":"10.1166/jmihi.2018.2535","DOIUrl":"https://doi.org/10.1166/jmihi.2018.2535","url":null,"abstract":"To investigate the clinical effect of laparoscopic surgery combined with drug therapy in the treatment of ovarian endometriosis. Methods: 10 cases of patient who underwent laparoscopic surgery due to ovarian cyst, infertility and Dysmenorrhea at the department where the author\u0000 worked from January 2011 to January 2012 were reviewed, the patients were treated with triptorelin acetate for 3–6 months. Results: The pathological report of all the surgical specimens was definitely diagnosed as ovarian endometriosis, a postoperative follow-up was conducted\u0000 on a regular basis, there were 3 cases of recurrence, 21 cases of remitted dysmenorrhea, and 8 cases of pregnancy. Conclusion: The postoperative application of Triptorelin acetate combined with laparoscopic surgery is a better method to treat ovarian endometriosis, and it can improve\u0000 the pregnancy rate of infertile patients.","PeriodicalId":49032,"journal":{"name":"Journal of Medical Imaging and Health Informatics","volume":"9 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82199602","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optimization of Accurate Quantification in Single-Photon Emission Computed Tomography Myocardial Imaging","authors":"K. Alzimami, N. Abuhadi, A. Alanazi, O. Kadri, A. Alfuraih, Z. Podolyák, D. Bradley, M. Mahmoud, S. Sassi","doi":"10.1166/jmihi.2018.2517","DOIUrl":"https://doi.org/10.1166/jmihi.2018.2517","url":null,"abstract":"Purpose: The wide availability and reputation for accuracy of the single-photon emission computed tomography (SPECT) of the myocardium has made it a top global choice for nuclear cardiology procedures. The goal of this research is to determine the effectiveness and measurable\u0000 accuracy of 3D iterative reconstruction algorithms compared to filtered back projection techniques for cardiac SPECT images. Effectiveness is determined by the ability of the various techniques to produce accurate cardiac SPECT images. Materials and Methods: A Siemens Symbia T16 SPECT/CT\u0000 scanner was used to acquire SPECT/CT images and the Monte Carlo simulations whilst a GATE package was used with the implementation of Infinia™ (GE) dual head SPECT gamma camera–simulated data. The recordings were acquired from point and linear sources and a cardiac insert\u0000 was created along with a simulation of a computerized phantom XCAT. Result: The results of this study demonstrated an improvement in image quality and the use of a Flash 3D algorithm relative to FBP technique enhances its accuracy. The data presented in this article further show that\u0000 the image quality of myocardium images and quantification accuracy, particularly for high-resolution studies reconstructed using the Flash 3D algorithm, can be greatly affected by a respiratory-induced motion. Conclusion: Image quality and quantification accuracy can be better improved\u0000 with respiratory-gating techniques, utilization of ordered-subsets maximization (OSEM) algorithms with attenuation and scatter correction. A simulation of respiratory-induced motion resulted in a reconstructed SPECT recording of 73% reduction in the quantified image resolution for Flash 3D\u0000 and 43% for FBP. It also caused the underestimation for the left ventricle volume by 18% using FBP and 41% for the Flash 3D. In conclusion, our physical phantom studies and Monte Carlo simulation studies agree with the main hypothesis of our investigation. They showed improvement in image\u0000 quality with increased accuracy when using the Flash 3D algorithm relative to the FBP technique.","PeriodicalId":49032,"journal":{"name":"Journal of Medical Imaging and Health Informatics","volume":"35 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77945610","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Meta Analysis on Prognostic Value of Patients with Non-Small Cell Lung Cancer","authors":"J. Rui, Lin Yingping, Lijun Gu, Zhiyan Wang, Jing Zuo, Lin Zha","doi":"10.1166/jmihi.2018.2564","DOIUrl":"https://doi.org/10.1166/jmihi.2018.2564","url":null,"abstract":"Nuclear factor kappa B (NF-κB), a key nuclear transcription factor, is associated with prognosis in a variety of human cancers. However, the clinical value of NF-κB in non-small cell lung cancer (NSCLC) is still controversial. Therefore, the aim of this meta-analysis\u0000 was to obtain an accurate evaluation of the relationship between NF-κB expression and survival prognosis of NSCLC patients based on published articles. PubMed, EMBASE and Web of Science databases were systematically searched for potential articles. A total of 1159 patients from\u0000 7 eligible studies comparing prognostic significance of NF-κB expression levels in NSCLC were included in our meta-analysis. I2 statistic and P value were performed to evaluate heterogeneity using Review Manager version 5.3. The results of analysis were\u0000 presented as hazard ratio (HR) or odds ratios with 95% confidence interval (95% CI). Subgroup analysis based on ethnicity of NSCLC patients was conducted to illustrate the potential discrepancy. Significant heterogeneity was considered at I2 > 50% and P < 0.05,\u0000 and random-effects model was used. The combined results indicated that higher NF-κB expression was associated with shorter overall survival of NSCLC patients (HR = 2.78, 95% CI = 1.51–5.12, P = 0.001). Moreover, NF-κB expression was closely associated\u0000 with tumor stage (HR = 0.32, 95% CI = 0.18–0.57, P < 0.0001) and lymph node metastasis (HR = 0.56, 95% CI = 0.38–0.83, P = 0.004). We conclude that NF-κB expression may be a potential unfavorable prognostic marker for NSCLC patients.","PeriodicalId":49032,"journal":{"name":"Journal of Medical Imaging and Health Informatics","volume":"5 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87687893","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Two-Step Modified Nash Equilibrium Method for Medical Image Segmentation Based on an Improved C-V Model","authors":"Tianchi Zhang, Jian Zhang, Jing Zhang, Melvyn L. Smith","doi":"10.1166/JMIHI.2018.2521","DOIUrl":"https://doi.org/10.1166/JMIHI.2018.2521","url":null,"abstract":"One of the most established region-based segmentation methods is the region based C-V model. This method formulates the image segmentation problem as a level set or improved level set clustering problem. However, the existing level set C-V model fails to perform well in the presence\u0000 of noisy and incomplete data or when there is similarity between the objects and background, especially for clustering or segmentation tasks in medical images where objects appear vague and poorly contrasted in greyscale. In this paper, we modify the level set C-V model using a two-step modified\u0000 Nash equilibrium approach. Firstly, a standard deviation using an entropy payoff approach is employed and secondly a two-step similarity clustering based approach is applied to the modified Nash equilibrium. One represents a maximum similarity within the clustered regions and the other the\u0000 minimum similarity between the clusters. Finally, an improved C-V model based on a two-step modified Nash equilibrium is proposed to smooth the object contour during the image segmentation. Experiments demonstrate that the proposed method has good performance for segmenting noisy and poorly\u0000 contrasting regions within medical images.","PeriodicalId":49032,"journal":{"name":"Journal of Medical Imaging and Health Informatics","volume":"27 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82619727","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"ANOVA Based Sleep Quality Index Analysis on Mental State and Sleep Quality Quantification","authors":"Zhao Yuchen, Jiao Xinyi, Lv Hong-bo, Yang Xiaolong","doi":"10.1166/JMIHI.2018.2528","DOIUrl":"https://doi.org/10.1166/JMIHI.2018.2528","url":null,"abstract":"To explore the influence of the parturients' mental factors on the delivery mode and postpartum hemorrhage and the nursing intervention countermeasures, the research randomly divided the expectant primiparae hospitalized in our hospital during February 2012–February 2013 into\u0000 the intervention group and the control group. Wherein, the control group received routine nursing, while the intervention group received nursing intervention based on the routine nursing, to compare the postpartum hemorrhage and satisfaction of the two groups of parturients. Result:\u0000 36 of 112 parturients suffered from dysphoria, accounting for 32.14%; 37 parturSients suffered from depression, accounting for 33.04%. The parturients' hemorrhage incidence, postpartum amount of bleeding within 2 h and postpartum amount of bleeding within 24 h all significantly declined compared\u0000 with those of the control group (x2/t = 3.98, 4.02, 4.96 p < 0.05). The cesarean rate of the control group (7.14%, 4/56) was significantly higher than that of the control group (16.07%, 9/56) (x2 = 4.02 p < 0.05). The postpartum satisfaction of the\u0000 patients in the intervention group was apparently higher than that of the control group (x2 = 4.26 p < 0.05). Conclusion: The nursing intervention can obviously reduce the incidence of postpartum hemorrhage and improve postpartum satisfaction, so it is worth popularizing.","PeriodicalId":49032,"journal":{"name":"Journal of Medical Imaging and Health Informatics","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82489943","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Fast Contrast Improved Zero-Phase Filtered Delay Multiply and Sum in Ultrasound Computed Tomography","authors":"Cuijuan Lou, J. Song, Liang Zhou, Yang Peng, Mingyue Ding, M. Yuchi","doi":"10.1166/jmihi.2018.2566","DOIUrl":"https://doi.org/10.1166/jmihi.2018.2566","url":null,"abstract":"In linear array B-mode imaging, the zero-phase filtered delay multiply and sum beamforming (ZPF-DMAS) weighted by space-time smoothing coherence factor (StS-CF) has been proved to enhance the image contrast resolution than the traditional delay and sum method. However, the large number\u0000 of virtual received signals may increase the computational cost of this method in ultrasound computed tomography (USCT) with ring array. Here, a method with less computation amount is proposed in USCT: the received signals are separated into different groups by their spatial lag; the groups\u0000 form a new smaller size receive aperture; StS-CF is finally applied to the new receive aperture. CIRS model 055A is tested to compare the performances of the proposed method and ZPF-DMAS. The results show that the computational complexity has been reduced by N*B*D((M2–3M)/2+1)\u0000 multiplications, supposing there are N ultrasound waves transmitted, B scan lines, D imaging points on each line and M-element receive aperture. StS-CF with a subarray size of L = 16 (far less than half the receive aperture) and P = 5 time samples\u0000 gives the best result in USCT, which is different from that in linear array B-mode imaging. The proposed method can enhance contrast ratio about 6.3 dB and 5.7 dB for the cystic mass and dense mass than ZPF-DMAS, respectively.","PeriodicalId":49032,"journal":{"name":"Journal of Medical Imaging and Health Informatics","volume":"91 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84176710","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}