2019 IEEE International Conference on Imaging Systems and Techniques (IST)最新文献_第4页

A neural network-based local decomposition approach for image reconstruction in Electrical Impedance Tomography 基于神经网络的电阻抗断层成像局部分解方法

2019 IEEE International Conference on Imaging Systems and Techniques (IST) Pub Date : 2019-12-01 DOI: 10.1109/IST48021.2019.9010183

Zainab Husain, P. Liatsis

{"title":"A neural network-based local decomposition approach for image reconstruction in Electrical Impedance Tomography","authors":"Zainab Husain, P. Liatsis","doi":"10.1109/IST48021.2019.9010183","DOIUrl":"https://doi.org/10.1109/IST48021.2019.9010183","url":null,"abstract":"Electrical Impedance Tomography (EIT) is a method of imaging the impedance distribution inside a non-homogeneous medium based on current or voltage measurements on its surface. Being a non-invasive and non-ionizing image modality, its application can be extended to a multitude of areas, including robotics and specifically, tactile sensing. The use of EIT, however, is limited by the complexity of the inverse image reconstruction problem, which is non-linear and ill-posed. In this contribution, we propose a data-driven approach to image reconstruction, using Neural Networks. Specifically, the image containing the target object is divided into partially overlapping sub-images, where each sub-image is modelled with a bi-variate polynomial. The forward problem is solved using the EIDORS toolbox in MATLAB, thus resulting to a set of voltage measurements. A set of feedforward neural networks, one for each sub-image, are then trained using the voltage inputs and the target polynomial coefficients to perform image reconstruction. The simulation experiments demonstrate promising performance for the case of a 2D square object in a noisy background.","PeriodicalId":117219,"journal":{"name":"2019 IEEE International Conference on Imaging Systems and Techniques (IST)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134026080","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: 4

Baking Status Characterization of Baked Food Image Based on Superpixel Segmentation 基于超像素分割的烘焙食品图像烘烤状态表征

2019 IEEE International Conference on Imaging Systems and Techniques (IST) Pub Date : 2019-12-01 DOI: 10.1109/IST48021.2019.9010460

Conghui Wang, Bochuan Hou, Jing Shi, Jianhua Yang, Boning Wu, Zixing Fu, Kun Fang

{"title":"Baking Status Characterization of Baked Food Image Based on Superpixel Segmentation","authors":"Conghui Wang, Bochuan Hou, Jing Shi, Jianhua Yang, Boning Wu, Zixing Fu, Kun Fang","doi":"10.1109/IST48021.2019.9010460","DOIUrl":"https://doi.org/10.1109/IST48021.2019.9010460","url":null,"abstract":"The temperature field distribution of the oven directly affects the quality of the baked food. The traditional oven performance research mainly focuses on the heating method in the simulated oven, lacking quantitative analysis of the baked food. In this paper, the digital image processing technology is used to segment and extract different baking status of the baked food in order to qualitatively and quantitatively expresses the internal temperature field distribution of the oven. Firstly, the image of baked food is captured by high-definition digital camera. And then it will be preprocessed to obtain a denoised image with only baked food area. Thirdly, the simple linear iterative clustering (SLIC) segmentation is used to extract the different baking status. The experimental results show that the simple linear iterative clustering (SLIC) segmentation algorithm can digitally express the baking status in the form of superpixels. The proposed method can qualitatively and quantitatively reflect the distribution of the temperature field inside the oven corresponding to the baked food image, which provide a basis for further evaluation of the heat distribution field inside the oven.","PeriodicalId":117219,"journal":{"name":"2019 IEEE International Conference on Imaging Systems and Techniques (IST)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133159357","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: 0

Multi-Channel Biometrics for eHealth Combining Acoustic and Machine Vision Analysis of Speech, Lip Movement and Face: a Case Study 结合语音、嘴唇运动和面部的声学和机器视觉分析的电子健康多通道生物识别:一个案例研究

2019 IEEE International Conference on Imaging Systems and Techniques (IST) Pub Date : 2019-12-01 DOI: 10.1109/IST48021.2019.9010457

Emmanouil G Spanakis, D. Takács, A. Karantanas, D. Petrovska-Delacrétaz, Claude Bauzou, Iacob Crucianu, Aymen Mtibaa, Mohamed Amine Hmani, M. Kockmann, Christian Narr, Elnar Hajiyev

{"title":"Multi-Channel Biometrics for eHealth Combining Acoustic and Machine Vision Analysis of Speech, Lip Movement and Face: a Case Study","authors":"Emmanouil G Spanakis, D. Takács, A. Karantanas, D. Petrovska-Delacrétaz, Claude Bauzou, Iacob Crucianu, Aymen Mtibaa, Mohamed Amine Hmani, M. Kockmann, Christian Narr, Elnar Hajiyev","doi":"10.1109/IST48021.2019.9010457","DOIUrl":"https://doi.org/10.1109/IST48021.2019.9010457","url":null,"abstract":"The purpose of this work is to present a solution combining user-friendliness and cost-effectiveness use of audio (speech) & visual (video/image) biometrics, for eHealth, able to achieve better accuracy and increase the ability to avoid counterfeiting. This work shows the evaluation results for an eHealth pilot study that tested the security, privacy, usability and cost-effective features of a user authentication platform for the management of sensitive heterogeneous multi-scale medical data (i.e. medical imaging such as MRI/CT scans, physical reports, and laboratory results), through easy acquisition of biometric data via laptops, and tablets equipped with cameras and microphones. Regarding the user enrollment and verification, audio-visual biometric information from an individual is captured, processed and stored as a biometric template. In subsequent uses, biometric information is captured and compared with the biometric templates. If the comparison is successful the verified user could be allowed to sign in to a medical collaboration platform of the hospitals infrastructure. In this work we present the biometric platform developed, the testing methodology and the administrative framework and legal processes, related to GDPR, for the eHealth pilot study and the results from our quantitative and qualitative analysis that was performed.","PeriodicalId":117219,"journal":{"name":"2019 IEEE International Conference on Imaging Systems and Techniques (IST)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131811744","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: 0

A CNN-Based Image Reconstruction for Electrical Capacitance Tomography 基于cnn的电容层析成像图像重建

2019 IEEE International Conference on Imaging Systems and Techniques (IST) Pub Date : 2019-12-01 DOI: 10.1109/IST48021.2019.9010096

Jin Zheng, Haocheng Ma, Lihui Peng

引用次数: 12

Image reconstruction for electrical impedance tomography based on spatial invariant feature maps and convolutional neural network 基于空间不变特征映射和卷积神经网络的电阻抗断层成像图像重建

2019 IEEE International Conference on Imaging Systems and Techniques (IST) Pub Date : 2019-12-01 DOI: 10.1109/IST48021.2019.9010151

D. Hu, K. Lu, Yunjie Yang

引用次数: 15

A Quasi-Parallel DAQ Scheme for Wavelength Modulation Spectroscopy Tomography 波长调制光谱层析成像的准平行DAQ方案

2019 IEEE International Conference on Imaging Systems and Techniques (IST) Pub Date : 2019-12-01 DOI: 10.1109/IST48021.2019.9010164

Godwin Enemali, Chang Liu, N. Polydorides, H. McCann

引用次数: 2

Brain Fibre Tracking Improved by Diffusion Tensor Similarity using Non-Euclidean Distances 基于非欧距离的扩散张量相似度改进脑纤维跟踪

2019 IEEE International Conference on Imaging Systems and Techniques (IST) Pub Date : 2019-12-01 DOI: 10.1109/IST48021.2019.9010570

Lei Ye, E. Hunsicker, Baihua Li, Diwei Zhou

引用次数: 0

Diabetic Retinopathy Grading Using 3D Multi-path Convolutional Neural Network Based on Fusing Features from OCTA Scans, Demographic, and Clinical Biomarkers 基于融合OCTA扫描、人口统计学和临床生物标志物特征的3D多路径卷积神经网络的糖尿病视网膜病变分级

2019 IEEE International Conference on Imaging Systems and Techniques (IST) Pub Date : 2019-12-01 DOI: 10.1109/IST48021.2019.9010210

Nabila Eladawi, Mohammed M Elmogy, M. Ghazal, L. Fraiwan, A. Aboelfetouh, A. Riad, H. Sandhu, A. El-Baz

{"title":"Diabetic Retinopathy Grading Using 3D Multi-path Convolutional Neural Network Based on Fusing Features from OCTA Scans, Demographic, and Clinical Biomarkers","authors":"Nabila Eladawi, Mohammed M Elmogy, M. Ghazal, L. Fraiwan, A. Aboelfetouh, A. Riad, H. Sandhu, A. El-Baz","doi":"10.1109/IST48021.2019.9010210","DOIUrl":"https://doi.org/10.1109/IST48021.2019.9010210","url":null,"abstract":"Diabetic Retinopathy (DR) is considered one of the major reasons for vision loss in the working-age population in most of the countries. DR is caused by high blood sugar levels (diabetes), which damages retinal blood vessels and leads to blindness. Both diagnosis and grading of DR require manual measurements and visual assessment of the changes that happen in the retina, which is a highly complex task. Thus, there is an unmet clinical need for a non-invasive and objective diagnostic system, which can improve the accuracy of both early signs and grading detection for DR. In this paper, we proposed a computer-aided diagnosis (CAD) system for detecting early signs as well as grading of DR. Four significant retinal vasculature features are extracted from optical coherence tomography angiography (OCTA) scans, which reflect the changes in the retinal blood vessels due to DR progress. The developed system fuses these four significant features with clinical and demographic biomarkers. The proposed system uses a 3D convolutional neural network (CNN) to segment blood vessels from both OCTA deep and superficial plexuses. Finally, these extracted features are classified by using the random forest (RF) technique to differentiate first between the DR from normal subjects. Then, grade the DR subjects into mild or moderate. Our preliminary results of grading DR in a cohort of patients (n == 100) demonstrated an average accuracy of 96.8%, sensitivity of 98.1%, and specificity of 88.8%. These results show the feasibility of the proposed approach in early detection as well as the grading of DR.","PeriodicalId":117219,"journal":{"name":"2019 IEEE International Conference on Imaging Systems and Techniques (IST)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126728573","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

A Free Element Spherical and Ellipsoidal Radio Frequency Coils with High B1 Homogeneity for MRI 磁共振成像用高B1均匀性的自由元件球形和椭球射频线圈

2019 IEEE International Conference on Imaging Systems and Techniques (IST) Pub Date : 2019-12-01 DOI: 10.1109/IST48021.2019.9010108

S. A. Ghaly, M. O. Khan, K. AlMuhanna, K. Al-snaie

{"title":"A Free Element Spherical and Ellipsoidal Radio Frequency Coils with High B1 Homogeneity for MRI","authors":"S. A. Ghaly, M. O. Khan, K. AlMuhanna, K. Al-snaie","doi":"10.1109/IST48021.2019.9010108","DOIUrl":"https://doi.org/10.1109/IST48021.2019.9010108","url":null,"abstract":"An ellipsoidal four-loop MRI coil, comprising four coaxial separately tuned rings on an ellipsoidal surface, is developed and tested. In comparison with spherical four-loop coil which provides a fourth-order homogeneity of the B1 field. This coil aims to provide an effective sixth-order homogeneity of the Bi field while preserving simplicity of design. A complete electrical model of the coil, including all couplings, is investigated to assure these requirements. To facilitate the easy tuning of the developed coil and predict the current-ratio between the centre and outer loops in the co-current mode, an identical self-resonance frequency for all loops is adopted. A prototype shielded elliptical coil at 100,241MHz, consisting in two centre (respectively outer) rings with diameter 4.8 cm (3.4 cm) separated by 1.4cm (4cm), is built. A shielded spherical Coil with the same outer diameter (4.8 cm) was built to permit practical comparisons. Relative measurements of the B1-axial field were carried out in free space. The Ellipsoidal coil (E) exhibits better performances than the Spherical Coil (S). Loaded tests, using water samples of cylindrical shapes, were carried out on a Bruker-Biospec-Avance on MRI images. Axial single-slice (1mm) gradient echo images permitted to provide the axial-field-profile. Quite similar lobe widening is observed for the ellipsoidal coil with regards to the free space results.","PeriodicalId":117219,"journal":{"name":"2019 IEEE International Conference on Imaging Systems and Techniques (IST)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114672265","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

Identifying and characterizing system issues of health information technology in medical imaging as a basis for recommendations 识别和描述医疗成像中卫生信息技术的系统问题，作为建议的基础

2019 IEEE International Conference on Imaging Systems and Techniques (IST) Pub Date : 2019-12-01 DOI: 10.1109/IST48021.2019.9010426

M. S. Jabin, F. Magrabi, P. Hibbert, T. Schultz, Taryn Bessen, W. Runciman

{"title":"Identifying and characterizing system issues of health information technology in medical imaging as a basis for recommendations","authors":"M. S. Jabin, F. Magrabi, P. Hibbert, T. Schultz, Taryn Bessen, W. Runciman","doi":"10.1109/IST48021.2019.9010426","DOIUrl":"https://doi.org/10.1109/IST48021.2019.9010426","url":null,"abstract":"Medical imaging health information technology systems, such as Radiology Information Systems and Picture Archiving and Communication Systems were introduced to improve efficiency. Although they have the potential to improve healthcare delivery and patient outcomes, when poorly designed, implemented or managed, they can pose substantial risks to patient safety and organizational efficiency, which may offset the intended benefits. This study used the method of thematic analysis, which provided information about system issues related to health information technology. System issues, including system error, system malfunction or failure, system design, system crash, system functionality, voice recognition technology, launching of new systems, and system integration accounted for 21% of the 436 HIT incidents. Even when these issues do not harm patients, they often cause delays, inconvenience, and inefficiencies. Obtaining the right system, proper and careful system implementation, and immediate back-up systems can improve the safety and quality of care in medical imaging.","PeriodicalId":117219,"journal":{"name":"2019 IEEE International Conference on Imaging Systems and Techniques (IST)","volume":"358 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123945016","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: 7