Digital medicine最新文献_第8页

The use of virtual reality environments for medical training 虚拟现实环境在医学培训中的应用

Digital medicine Pub Date : 2019-07-01 DOI: 10.4103/digm.digm_16_19

J. Parry

引用次数: 0

The clinical feasibility and effect of online ExacTrac 6 degree-of-freedom system for head-and-neck cancer 在线ExacTrac 6自由度系统治疗头颈癌的临床可行性及效果

Digital medicine Pub Date : 2019-07-01 DOI: 10.4103/digm.digm_18_19

Lirong Zhao, Jin-dong Qian, Xiaojuan Duan, Dingqiang Yang, Yi-bing Zhou, Guang-hui Li, Jian-guo Sun

{"title":"The clinical feasibility and effect of online ExacTrac 6 degree-of-freedom system for head-and-neck cancer","authors":"Lirong Zhao, Jin-dong Qian, Xiaojuan Duan, Dingqiang Yang, Yi-bing Zhou, Guang-hui Li, Jian-guo Sun","doi":"10.4103/digm.digm_18_19","DOIUrl":"https://doi.org/10.4103/digm.digm_18_19","url":null,"abstract":"Purpose: Online adaptive correction in image-guided intensity-modulated radiotherapy appears to be a promising approach for precision radiation treatment in head-and-neck tumors. This research is designed to evaluate the setup uncertainties in the left-right (L-R), superior-inferior (S-I), and anterior-posterior (A-P) directions and rotational variations: pitch, roll, and yaw for head-and-neck cancer (HNC) patients with the ExacTrac 6 degree-of-freedom (6D) image-guided radiotherapy (IGRT) system. Materials and Methods: The setup errors measured by ExacTrac 6D IGRT system at the treatment unit with respect to the planning computed tomography were recorded for 40 patients with head-and-neck tumors. The residual setup errors were computed and quantitatively analyzed. Results: The results indicated that the setup errors measured in the S-I direction were larger than the other two directions. For the three rotational angles, the results were very close. The verifications showed that after the first correction, the overall setup errors were generally < 0.32 mm in the L-R, S-I, and A-P directions and <0.2° in the three rotational variations: pitch, roll, and yaw. According to the results of verifications, we know that ExacTrac 6D IGRT system was accurate and clinical feasibility. Conclusion: The results of our study have shown that daily image guidance with ExacTrac 6D image-guided system for HNC patients is effective. These data suggest it allows a high accurate of setup errors.","PeriodicalId":72818,"journal":{"name":"Digital medicine","volume":"5 1","pages":"119 - 125"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45551842","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}

引用次数: 2

Improving the blood donation practices and role of adoption of technological innovations 改进献血做法和采用技术创新的作用

Digital medicine Pub Date : 2019-07-01 DOI: 10.4103/digm.digm_14_19

S. Shrivastava, P. Shrivastava

引用次数: 0

Virtual reality and immersive experience technologies for cognitive health and well-being 虚拟现实和沉浸式体验技术的认知健康和福祉

Digital medicine Pub Date : 2019-07-01 DOI: 10.4103/digm.digm_17_19

David Wortley

引用次数: 0

Robust point set registration method based on global structure and local constraints 基于全局结构和局部约束的鲁棒点集配准方法

Digital medicine Pub Date : 2019-04-01 DOI: 10.4103/digm.digm_10_19

Kai Yang, Yufei Chen, Haotian Zhang, Xianhui Liu, Weidong Zhao

{"title":"Robust point set registration method based on global structure and local constraints","authors":"Kai Yang, Yufei Chen, Haotian Zhang, Xianhui Liu, Weidong Zhao","doi":"10.4103/digm.digm_10_19","DOIUrl":"https://doi.org/10.4103/digm.digm_10_19","url":null,"abstract":"Background and Objectives: Point set registration is a very fundamental problem in computer vision. The registration problem can be divided into rigid and nonrigid registration. The transformation function modeling of rigid registration is simpler, whereas the nonrigid registration is better to solve the practical problems. Materials and Methods: We proposed a robust point set registration method using both global and local structures. Here, we use a popular probability model, Gaussian mixture model, to preserve the global structure of point set. Then, we designed a local constraint provided by some neighboring points to maintain the local structure of the point set. Finally, expectation–maximization algorithm is used to update model parameters in our method. Results: First of all, we carried out experiments on the synthesized data, which included four degradation cases: deformation, noise, outlier, and rotation. By comparing the mean and standard deviation of registration errors with the several state-of-the-art methods, our method was proved to have stronger robustness. Then, we conducted experiments on real retinal fundus images, aiming to establish reliable feature point correspondence between the two images. The experimental results show that we perform better when the two images have larger shooting angles and more noises. Conclusions: The Gaussian mixture protects the global structure of the point set, and the local constraints make full use of the local structure, which makes our method more robust. Experiments on synthetic data prove that our method obtains superior results to those of the state-of-the-art methods. Experiments on retinal image data show that our method also performs very well in practical applications.","PeriodicalId":72818,"journal":{"name":"Digital medicine","volume":"5 1","pages":"76 - 84"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48333928","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}

引用次数: 1

Accuracy of smartphone based photography in screening for potentially malignant lesions among a rural population in Tamil Nadu: A cross-sectional study 在泰米尔纳德邦农村人口中，基于智能手机的摄影筛查潜在恶性病变的准确性:一项横断面研究

Digital medicine Pub Date : 2019-04-01 DOI: 10.4103/digm.digm_29_18

R. Karthikayan, A. Sukumaran, M. Diwakar, V. Raj

{"title":"Accuracy of smartphone based photography in screening for potentially malignant lesions among a rural population in Tamil Nadu: A cross-sectional study","authors":"R. Karthikayan, A. Sukumaran, M. Diwakar, V. Raj","doi":"10.4103/digm.digm_29_18","DOIUrl":"https://doi.org/10.4103/digm.digm_29_18","url":null,"abstract":"Background and Objective: Oral cancer is a major public health problem which carries significant morbidity and mortality. A shift from treatment to prevention by screening is the key to reduce oral cancer lesion among population. Searching for an affordable and viable alternative to face-to-face screening that can expedite diagnosis of oral diseases among rural population with good accuracy is mandatory. One of the most realistic solutions to acknowledge this hurdle and the unavailability of dental professionals, is mobile teledentistry. Materials and Methods: Secondary data analysis was conducted, in which the data were derived from the project of “Oral Cancer Screening Program in Rural population” conducted by Thirumalai Mission Hospital, Ranipet. Ninety-six biopsies were taken for the patients who had visible oral lesions which had been provisionally diagnosed on clinical examination. Oral screening was carried out by unaided face-to-face screening method by a trained and calibrated dentist. In a separate subsequent visit, a trained teledental assistant took photographs of each participant's mouth by using a smartphone camera; the charting of the photographs was conducted independently by two dentists. Results: Intra-examiner reliability of Examiner 1 and Examiner 2 was 0.943 and 0.921, respectively. Inter examiner reliability score of 0.879 was obtained between both the examiners by the photographic method of diagnosis. Intraclass correlation coefficient between two methods of examination was 0.812. Agreement between the photographic examination (Examiner 1, Examiner 2) with the gold standard biopsy report was 0.791 and 0.855, respectively. Conclusion: Smartphone camera use offers a valid and reliable means of remote screening for oral lesions. Photographs of the oral lesions taken from the smart-phone camera with an acceptable diagnostic validity and reliability.","PeriodicalId":72818,"journal":{"name":"Digital medicine","volume":"5 1","pages":"56 - 61"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42596757","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}

引用次数: 3

Rehabilitation with robotic glove (Gloreha) in poststroke patients 机器人手套(Gloreha)在脑卒中后患者康复中的应用

Digital medicine Pub Date : 2019-04-01 DOI: 10.4103/digm.digm_3_19

P. Milia, Maria Peccini, F. De Salvo, Alice Sfaldaroli, Chiara Grelli, G. Lucchesi, Nora Sadauskas, C. Rossi, M. Caserio, M. Bigazzi

{"title":"Rehabilitation with robotic glove (Gloreha) in poststroke patients","authors":"P. Milia, Maria Peccini, F. De Salvo, Alice Sfaldaroli, Chiara Grelli, G. Lucchesi, Nora Sadauskas, C. Rossi, M. Caserio, M. Bigazzi","doi":"10.4103/digm.digm_3_19","DOIUrl":"https://doi.org/10.4103/digm.digm_3_19","url":null,"abstract":"Background and Objectives: Stroke is a leading cause of long-term disability. Rehabilitation involving repetitive, high-intensity, and task-specific exercise is the pathway to restore motor skills. Robotic assistive devices such as Gloreha are increasingly being used in upper limb rehabilitation. The aim of this study is to explore the efficacy of robotic therapy for upper limb rehabilitation using robotic glove (Gloreha) in patients with stroke. Materials and Methods: The patients affected by stroke who were admitted to our rehabilitation unit were studied. Patients were exposed to Gloreha device rehabilitation (30 min/die), physiotherapy (1,5 hours/die), and occupational therapy (30 min/die). We measured the impairment in motor function and muscle tone using the modified Ashworth scale (MAS), the activities of daily living functional independence measure (FIM), and the finger dexterity Nine-Hole Peg test (NHPT). Results: Twelve patients (mean age = 64.5 years; male/female: 8:4) were admitted at the rehabilitation training. We found statistically significant differences between admission and discharged in terms of functional recovery using the FIM scale (pre/M = 88.33; post/M = 117.25,P = 0.01); hand training showed a better outcome using the NHPT (pre/M = 51.8; post/M = 36.33, P = 0.01). No significant changes were observed in terms of spasticity with the MAS (pre/M = 1.25; post/M = 1.08;P > 0.05). Conclusions: Rehabilitation with robotic glove (Gloreha) can positively promote functional recovery of arm function in a patient with stroke.","PeriodicalId":72818,"journal":{"name":"Digital medicine","volume":"5 1","pages":"62 - 67"},"PeriodicalIF":0.0,"publicationDate":"2019-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46643286","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}

引用次数: 8

Digital continuous care: Future of artificial intelligence-based healthcare 数字持续护理:基于人工智能的医疗保健的未来

Digital medicine Pub Date : 2019-04-01 DOI: 10.4103/digm.digm_15_19

L. Eisen

引用次数: 3

The role of phantoms in magnetic resonance imaging-guided focused ultrasound surgery 幻影在磁共振成像引导聚焦超声手术中的作用

Digital medicine Pub Date : 2019-04-01 DOI: 10.4103/digm.digm_13_19

C. Damianou

引用次数: 5

Active contour model for medical sequence image segmentation based on spatial similarity 基于空间相似性的医学序列图像分割活动轮廓模型

Digital medicine Pub Date : 2019-01-01 DOI: 10.4103/digm.digm_11_19

Chencheng Huang, Denglan Lei, Zhaofei Li

{"title":"Active contour model for medical sequence image segmentation based on spatial similarity","authors":"Chencheng Huang, Denglan Lei, Zhaofei Li","doi":"10.4103/digm.digm_11_19","DOIUrl":"https://doi.org/10.4103/digm.digm_11_19","url":null,"abstract":"Background and Objectives: Image segmentation is the basic problem in computer vision and pattern recognition. This study mainly focuses on the segmentation of medical sequence images. Materials and Methods: In this article, we considered the spatial similarity of the medical sequence image in active contour model (ACM) for segmentation. First, by utilizing the similarity of object contour between adjacent slices of medical images, and then using the segment result of the former slice as the initial contour of the next image to segmentation. The proposed model can automatically obtain a better initial contour location and reduce the computing cost for segment processing. Second, to improve the accuracy of image segmentation, we considered the similarity of the object contour between adjacent slices, and introduce a punishment term in localized ACM. Results: We compared our model and other methods for segmenting medical brain magnetic resonance slices, and the experimental results on synthetic medical sequence images validate the effectiveness of the proposed method. Conclusions: By utilizing the similarity of object contour between adjacent slices of medical images, and using the segment result of former slice as the initial contour of the next image to segment, the proposed model can obtain better initial contour location for segmentation sequence images and reduce the computing cost for whole medical sequence image segmentation process.","PeriodicalId":72818,"journal":{"name":"Digital medicine","volume":"8 10 1","pages":"85 - 89"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"70711798","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}

引用次数: 2