Journal of Imaging Science and Technology最新文献_第10页

Spontaneous air leak in a Pediatric Emergency Department: An 11-year experience 小儿急诊科的自发性漏气：11年的经验

4区计算机科学

Journal of Imaging Science and Technology Pub Date : 2021-05-23 DOI: 10.25753/birthgrowthmj.v31.i2.24651

Marques, Telma Luís, Lomba, Andreia, Almiro, Maria Miguel, Almeida, Sílvia, Valente, Carla

{"title":"Spontaneous air leak in a Pediatric Emergency Department: An 11-year experience","authors":"Marques, Telma Luís, Lomba, Andreia, Almiro, Maria Miguel, Almeida, Sílvia, Valente, Carla","doi":"10.25753/birthgrowthmj.v31.i2.24651","DOIUrl":"https://doi.org/10.25753/birthgrowthmj.v31.i2.24651","url":null,"abstract":"Introduction: Due to lack of data, the management of air leaks in children and adolescents is based on protocols for adults. In this study, the authors review and report their institutional experience in the area. Methods: Retrospective and descriptive study of spontaneous air leak cases diagnosed in a Portuguese Pediatric Emergency Department (PED) between January 2007 and December 2018. Results: Twenty-one episodes of spontaneous air leak were diagnosed in 16 patients (87.5% male), with a mean (± standard deviation) age of 14.3 (± 5.1) years. Eighteen cases of spontaneous pneumothorax were reported, fifteen of which primary (eleven first-time episodes and four recurrences) and three secondary (two first-time episodes and one recurrence) to asthma. Three cases of pneumomediastinum with subcutaneous emphysema were identified, two of which related to infection. Smoking habits and/or recent physical activity were major triggers. Pleuritic chest pain was the most frequent symptom on admission. Conservative treatment was the only approach used in six cases. Most cases required thoracic drainage, five of which required surgical intervention. Discussion: This study shows similar demographic features, triggers, and clinical presentation to those reported in the literature for these cases. The management of the condition was based on recommendations established for adults. Conclusion: Although spontaneous air leak is an uncommon condition, it is a reality in PED. Prospective studies in pediatric age are required to develop adequate recommendations for children and adolescents.","PeriodicalId":15924,"journal":{"name":"Journal of Imaging Science and Technology","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147919180","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Design of Portable Electrocardiograph Monitoring System 便携式心电监护系统的设计

IF 1 4区计算机科学

Journal of Imaging Science and Technology Pub Date : 2021-05-01 DOI: 10.2352/j.imagingsci.technol.2021.65.3.030403

Jia Hua-ping, Zhao Jun-Long, Liu Jun

引用次数: 0

Multi-feature Fusion of Deep Neural Network for Screening Atrial Fibrillation Using ECG Signals 深度神经网络的多特征融合用于心电信号筛查心房颤动

IF 1 4区计算机科学

Journal of Imaging Science and Technology Pub Date : 2021-05-01 DOI: 10.2352/J.IMAGINGSCI.TECHNOL.2021.65.3.030412

Xingxiang Tao, Hao Dang, Xiangdong Xu, Xiaoguang Zhou, Danqun Xiong

{"title":"Multi-feature Fusion of Deep Neural Network for Screening Atrial Fibrillation Using ECG Signals","authors":"Xingxiang Tao, Hao Dang, Xiangdong Xu, Xiaoguang Zhou, Danqun Xiong","doi":"10.2352/J.IMAGINGSCI.TECHNOL.2021.65.3.030412","DOIUrl":"https://doi.org/10.2352/J.IMAGINGSCI.TECHNOL.2021.65.3.030412","url":null,"abstract":"\u0000 Atrial fibrillation (AF) is the most common cardiac arrhythmia, and it can cause a variety of cardiovascular diseases. This brings great hidden danger to people’s health and life safety all over the world. Electrocardiogram (ECG) is one of the most important noninvasive diagnostic tools for heart disease. Accurate interpretation of ECG is particularly important for the detection and treatment of AF. It is valuable to develop an efficient, accurate, and stable automatic AF detection algorithm in clinical settings. Therefore, this article proposes a novel integrated module, which combines densely connected convolutional network (DenseNet) module and bidirectional long short-term memory (BLSTM) module, based on the excellent ability of BLSTM on extracting the time series features, while DenseNet on capturing local features. Furthermore, we also propose a novel network architecture (MF-DenseNet–BLSTM) based on the integrated module mentioned above and multi-feature fusion for automatic AF detection using the ECG signals. The proposed model employs the architecture of dual-stream deep neural network to fusing multiple features. Specifically, the network of each stream structure consists of two parts with DenseNet module and BLSTM module. The data sets used to validate and test the proposed model are from the MIT-BIH Atrial Fibrillation Database. The experimental results show that the proposed model achieved 98.81% accuracy in training set, and achieved 98.04% accuracy in the testing set which is unseen data set. The proposed MF-DenseNet–BLSTM has shown excellent robustness and accuracy in automatic AF detection.\u0000","PeriodicalId":15924,"journal":{"name":"Journal of Imaging Science and Technology","volume":" ","pages":""},"PeriodicalIF":1.0,"publicationDate":"2021-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46478121","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Effects of Dot Configuration on Color Reproduction and Anti-counterfeiting Features 网点配置对色彩再现及防伪特性的影响

IF 1 4区计算机科学

Journal of Imaging Science and Technology Pub Date : 2021-03-01 DOI: 10.2352/j.imagingsci.technol.2021.65.2.020502

Ray-Tung Chiang, P. Sun

{"title":"Effects of Dot Configuration on Color Reproduction and Anti-counterfeiting Features","authors":"Ray-Tung Chiang, P. Sun","doi":"10.2352/j.imagingsci.technol.2021.65.2.020502","DOIUrl":"https://doi.org/10.2352/j.imagingsci.technol.2021.65.2.020502","url":null,"abstract":"Abstract This study represents an attempt to solve the problem of color reproduction and identification for the prevention of stamp forgery. Generally, printed images are converted to halftone dot patterns by using a raster image processor. The amplitude-modulated dots of\u0000 each separated color plane have a consistent shape such as conventional round, square, ellipse, or diamond shape; error diffusion occurs in frequency-modulated dots. To achieve anti-counterfeiting properties for stamp reproduction, two methods are proposed to obtain difficult-to-replicate\u0000 dot structures and to provide corresponding color management methods. The first method involves arranging different dot shapes in different areas of an image. Color consistency is achieved using a virtual gray balance method. However, color differences are visible when two dot types are assigned\u0000 to adjacent areas with similar colors. The second method is a two-stage screening method. The first screening stage defines different micro-regions in the image, which are then combined with the continuous-tone image again in the second screening step to assign different dot patterns to different\u0000 micro-regions. This approach not only provides anti-counterfeiting ability but also ensures color consistency and allows controlling color quality using one ICC profile.","PeriodicalId":15924,"journal":{"name":"Journal of Imaging Science and Technology","volume":"65 1","pages":"20502-1-20502-13"},"PeriodicalIF":1.0,"publicationDate":"2021-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44688103","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Measuring Image Quality of ENT Chip-on-tip Endoscopes 耳鼻喉科尖端芯片内窥镜图像质量的测量

IF 1 4区计算机科学

Journal of Imaging Science and Technology Pub Date : 2021-03-01 DOI: 10.2352/j.imagingsci.technol.2021.65.2.020503

G. Geleijnse, M. Hakkesteegt, J. D. Groot, R. M. Metselaar

{"title":"Measuring Image Quality of ENT Chip-on-tip Endoscopes","authors":"G. Geleijnse, M. Hakkesteegt, J. D. Groot, R. M. Metselaar","doi":"10.2352/j.imagingsci.technol.2021.65.2.020503","DOIUrl":"https://doi.org/10.2352/j.imagingsci.technol.2021.65.2.020503","url":null,"abstract":"Abstract ENT-flexible endoscopes are important for nasopharyngoscopy examinations. However, hospitals do not apply standardized tests to assess the image quality of the endoscopes they use or consider to purchase. The authors evaluated the Rez Checker Target Nano Matte,\u0000 a test chart that was designed by Image Science Associates for this purpose. The target was placed in a custom setup designed to position the endoscope tip at a distance of 3.0 cm. The primary metrics, including opto-electronic conversion function, noise, modulation transfer function,\u0000 and color fidelity, were measured using a custom MATLAB script for the Pentax VNL9-CP, Olympus ENF-V4, and Xion XN HD flexible endoscope. For each of these endoscopes, three examples were measured ten times. In addition, 38 Pentax VNL9-CP endoscopes that are regularly used in their clinic\u0000 were measured to validate this method for the purpose of quality control. They found that the Rez Checker Target Nano Matte can be used to reliably assess image performance metrics for both procurement and quality control. Whether better image quality also improves the diagnostic accuracy\u0000 of the ENT-specialist seems plausible, but has to be established.","PeriodicalId":15924,"journal":{"name":"Journal of Imaging Science and Technology","volume":"65 1","pages":"20503-1-20503-7"},"PeriodicalIF":1.0,"publicationDate":"2021-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42968122","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Passive Haptic Learning of Taiwanese Braille Writing for Visually Impaired Individuals 视障人士台湾盲文书写的被动触觉学习

IF 1 4区计算机科学

Journal of Imaging Science and Technology Pub Date : 2021-03-01 DOI: 10.2352/j.imagingsci.technol.2021.65.2.020402

C. Chou, Yi-Zeng Hsieh, Shih-Syun Lin, Tao-Jen Yang, Wei-An Chen, Yung-Long Chu, Hong-Lin Chang

{"title":"Passive Haptic Learning of Taiwanese Braille Writing for Visually Impaired Individuals","authors":"C. Chou, Yi-Zeng Hsieh, Shih-Syun Lin, Tao-Jen Yang, Wei-An Chen, Yung-Long Chu, Hong-Lin Chang","doi":"10.2352/j.imagingsci.technol.2021.65.2.020402","DOIUrl":"https://doi.org/10.2352/j.imagingsci.technol.2021.65.2.020402","url":null,"abstract":"Abstract In this article, a passive haptic learning method for Taiwanese Braille writing was developed for visually impaired individuals through the employment of an effective user-friendly learning strategy. This system was designed with portability and low cost by applying\u0000 the learning concept of passive haptic learning. This system designed a pair of gloves for visually impaired people to study Braille writing. Furthermore, we also designed a Braille writing teaching system for visually impaired people to learn and practice the Braille writing. Depending on\u0000 the learning content, the corresponding vibration motors on the glove fingertips vibrate to produce the Taiwan Braille input gestures. The visually impaired people then feel tactile vibration feedback from the glove fingertips. In addition, the corresponding auditory feedback is provided from\u0000 the Braille writing teaching system. After receiving a series of tactile vibration feedback, user’s finger muscles could memorize the corresponding Braille input gestures by the passive haptic learning. In the practice mode, the teaching system randomly selects practice content and announces\u0000 the selected content in an auditory manner. Visually impaired users must then input the corresponding Braille codes by using the Braille writing input module. This mode can further reinforce users’ memorization of correct Braille codes for Mandarin characters.","PeriodicalId":15924,"journal":{"name":"Journal of Imaging Science and Technology","volume":"65 1","pages":"20402-1-20402-9"},"PeriodicalIF":1.0,"publicationDate":"2021-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49180824","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Posteriori Outlier Rejection Approach Owing to the Well-ordering Property of a Sample Consensus Method for the Stitching of Drone-based Thermal Aerial Images 基于样本一致性的无人机热航拍图像拼接后验离群抑制方法

IF 1 4区计算机科学

Journal of Imaging Science and Technology Pub Date : 2021-03-01 DOI: 10.2352/J.IMAGINGSCI.TECHNOL.2021.65.2.020504

B. Shin, Jeong-Kweon Seo

{"title":"A Posteriori Outlier Rejection Approach Owing to the Well-ordering Property of a Sample Consensus Method for the Stitching of Drone-based Thermal Aerial Images","authors":"B. Shin, Jeong-Kweon Seo","doi":"10.2352/J.IMAGINGSCI.TECHNOL.2021.65.2.020504","DOIUrl":"https://doi.org/10.2352/J.IMAGINGSCI.TECHNOL.2021.65.2.020504","url":null,"abstract":"Abstract In this study, the authors generate panoramic images using feature-based registration for drone-based aerial thermal images. In the case of drone aerial images, the distortion of the photographing angle due to the unstableness in the shooting altitude deteriorates\u0000 the performance of the stitching. Furthermore, for the thermal aerial images, the same objects photographed at the same time zone may have different colors due to the relative temperature, which may lead to a more severe condition to be stitched. Applying the scale-invariant feature transform\u0000 descriptor, they propose a posteriori outlier rejection scheme to estimate the hypothesis of the mapping function for the stitching of consecutive thermal aerial images. By extension of the method of optimal choice of initial candidate inliers (OCICI) and a posteriori outlier rejection scheme\u0000 using cross-correlation calculus, the authors obtained elaborate stitching of thermal aerial images. Their proposed method is numerically verified for its quality by comparing it with other possible approaches of post-outlier rejection treatments employed of OCICI. Also, after the Poisson\u0000 blending using the finite difference method is conducted, the stitching performance is compared with some benchmark software such as Matlab-toolbox, OpenCV, Autopano Giga, Hugin, and PTGui.","PeriodicalId":15924,"journal":{"name":"Journal of Imaging Science and Technology","volume":"65 1","pages":"20504-1-20504-15"},"PeriodicalIF":1.0,"publicationDate":"2021-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45512906","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

The Development of an Identification Photo Booth System based on a Deep Learning Automatic Image Capturing Method 基于深度学习自动图像捕获方法的识别照相亭系统的开发

IF 1 4区计算机科学

Journal of Imaging Science and Technology Pub Date : 2021-03-01 DOI: 10.2352/J.IMAGINGSCI.TECHNOL.2021.65.2.020403

Yu-Xiang Zhao, Yi-Zeng Hsieh, Shih-Syun Lin

{"title":"The Development of an Identification Photo Booth System based on a Deep Learning Automatic Image Capturing Method","authors":"Yu-Xiang Zhao, Yi-Zeng Hsieh, Shih-Syun Lin","doi":"10.2352/J.IMAGINGSCI.TECHNOL.2021.65.2.020403","DOIUrl":"https://doi.org/10.2352/J.IMAGINGSCI.TECHNOL.2021.65.2.020403","url":null,"abstract":"Abstract With advances in technology, photo booths equipped with automatic capturing systems have gradually replaced the identification (ID) photo service provided by photography studios, thereby enabling consumers to save a considerable amount of time and money. Common automatic\u0000 capturing systems employ text and voice instructions to guide users in capturing their ID photos; however, the capturing results may not conform to ID photo specifications. To address this issue, this study proposes an ID photo capturing algorithm that can automatically detect facial contours\u0000 and adjust the size of captured images. The authors adopted a deep learning method (You Only Look Once) to detect the face and applied a semi-automatic annotation technique of facial landmarks to find the lip and chin regions from the facial region. In the experiments, subjects were seated\u0000 at various distances and heights for testing the performance of the proposed algorithm. The experimental results show that the proposed algorithm can effectively and accurately capture ID photos that satisfy the required specifications.","PeriodicalId":15924,"journal":{"name":"Journal of Imaging Science and Technology","volume":"65 1","pages":"20403-1-20403-10"},"PeriodicalIF":1.0,"publicationDate":"2021-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48749707","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Registration and Fusion of UAV LiDAR System Sequence Images and Laser Point Clouds 无人机激光雷达系统序列图像与激光点云的配准与融合

IF 1 4区计算机科学

Journal of Imaging Science and Technology Pub Date : 2021-01-01 DOI: 10.2352/j.imagingsci.technol.2021.65.1.010501

Yuan JiaYong, Longchen Ma, Maoyi Tian, Lu Xiushan

{"title":"Registration and Fusion of UAV LiDAR System Sequence Images and Laser Point Clouds","authors":"Yuan JiaYong, Longchen Ma, Maoyi Tian, Lu Xiushan","doi":"10.2352/j.imagingsci.technol.2021.65.1.010501","DOIUrl":"https://doi.org/10.2352/j.imagingsci.technol.2021.65.1.01050110.2352/j.imagingsci.technol.2021.65.1.010501","url":null,"abstract":"Abstract The unmanned aerial vehicle (UAV)-mounted mobile LiDAR system (ULS) is widely used for geomatics owing to its efficient data acquisition and convenient operation. However, due to limited carrying capacity of a UAV, sensors integrated in the ULS should be small and\u0000 lightweight, which results in decrease in the density of the collected scanning points. This affects registration between image data and point cloud data. To address this issue, the authors propose a method for registering and fusing ULS sequence images and laser point clouds, wherein they\u0000 convert the problem of registering point cloud data and image data into a problem of matching feature points between the two images. First, a point cloud is selected to produce an intensity image. Subsequently, the corresponding feature points of the intensity image and the optical image are\u0000 matched, and exterior orientation parameters are solved using a collinear equation based on image position and orientation. Finally, the sequence images are fused with the laser point cloud, based on the Global Navigation Satellite System (GNSS) time index of the optical image, to generate\u0000 a true color point cloud. The experimental results show the higher registration accuracy and fusion speed of the proposed method, thereby demonstrating its accuracy and effectiveness.","PeriodicalId":15924,"journal":{"name":"Journal of Imaging Science and Technology","volume":" ","pages":""},"PeriodicalIF":1.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"45265019","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

Limitations of CNNs for Approximating the Ideal Observer Despite Quantity of Training Data or Depth of Network. 无论训练数据量或网络深度如何，cnn逼近理想观测器的局限性。

IF 1 4区计算机科学

Journal of Imaging Science and Technology Pub Date : 2020-11-01 DOI: 10.2352/j.imagingsci.technol.2020.64.6.060408

Khalid Omer, Luca Caucci, Meredith Kupinski

{"title":"Limitations of CNNs for Approximating the Ideal Observer Despite Quantity of Training Data or Depth of Network.","authors":"Khalid Omer, Luca Caucci, Meredith Kupinski","doi":"10.2352/j.imagingsci.technol.2020.64.6.060408","DOIUrl":"https://doi.org/10.2352/j.imagingsci.technol.2020.64.6.060408","url":null,"abstract":"The performance of a convolutional neural network (CNN) on an image texture detection task as a function of linear image processing and the number of training images is investigated. Performance is quantified by the area under (AUC) the receiver operating characteristic (ROC) curve. The Ideal Observer (IO) maximizes AUC but depends on high-dimensional image likelihoods. In many cases, the CNN performance can approximate the IO performance. This work demonstrates counterexamples where a full-rank linear transform degrades the CNN performance below the IO in the limit of large quantities of training data and network layers. A subsequent linear transform changes the images' correlation structure, improves the AUC, and again demonstrates the CNN dependence on linear processing. Compression strictly decreases or maintains the IO detection performance while compression can increase the CNN performance especially for small quantities of training data. Results indicate an optimal compression ratio for the CNN based on task difficulty, compression method, and number of training images.","PeriodicalId":15924,"journal":{"name":"Journal of Imaging Science and Technology","volume":"64 6","pages":"604081-6040811"},"PeriodicalIF":1.0,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8101292/pdf/nihms-1696488.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"38883769","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0