8,801 resources related to Radiology
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The conference program will consist of plenary lectures, symposia, workshops and invitedsessions of the latest significant findings and developments in all the major fields of biomedical engineering.Submitted papers will be peer reviewed. Accepted high quality papers will be presented in oral and postersessions, will appear in the Conference Proceedings and will be indexed in PubMed/MEDLINE
The International Conference on Image Processing (ICIP), sponsored by the IEEE SignalProcessing Society, is the premier forum for the presentation of technological advances andresearch results in the fields of theoretical, experimental, and applied image and videoprocessing. ICIP 2020, the 27th in the series that has been held annually since 1994, bringstogether leading engineers and scientists in image and video processing from around the world.
The International Conference on Robotics and Automation (ICRA) is the IEEE Robotics and Automation Society’s biggest conference and one of the leading international forums for robotics researchers to present their work.
All areas of ionizing radiation detection - detectors, signal processing, analysis of results, PET development, PET results, medical imaging using ionizing radiation
2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI 2020)
The IEEE International Symposium on Biomedical Imaging (ISBI) is the premier forum for the presentation of technological advances in theoretical and applied biomedical imaging. ISBI 2020 will be the 17th meeting in this series. The previous meetings have played a leading role in facilitating interaction between researchers in medical and biological imaging. The 2020 meeting will continue this tradition of fostering cross-fertilization among different imaging communities and contributing to an integrative approach to biomedical imaging across all scales of observation.
The Transactions on Biomedical Circuits and Systems addresses areas at the crossroads of Circuits and Systems and Life Sciences. The main emphasis is on microelectronic issues in a wide range of applications found in life sciences, physical sciences and engineering. The primary goal of the journal is to bridge the unique scientific and technical activities of the Circuits and Systems ...
Broad coverage of concepts and methods of the physical and engineering sciences applied in biology and medicine, ranging from formalized mathematical theory through experimental science and technological development to practical clinical applications.
Computer, the flagship publication of the IEEE Computer Society, publishes peer-reviewed technical content that covers all aspects of computer science, computer engineering, technology, and applications. Computer is a resource that practitioners, researchers, and managers can rely on to provide timely information about current research developments, trends, best practices, and changes in the profession.
The design and manufacture of consumer electronics products, components, and related activities, particularly those used for entertainment, leisure, and educational purposes
Both general and technical articles on current technologies and methods used in biomedical and clinical engineering; societal implications of medical technologies; current news items; book reviews; patent descriptions; and correspondence. Special interest departments, students, law, clinical engineering, ethics, new products, society news, historical features and government.
2006 ITI 4th International Conference on Information & Communications Technology, 2006
A digital X-ray library system is vital for an academic radiology department. Existing commercial solutions for creating image collections are often not suitable for radiologic applications. For these reasons, we developed our own digital archive system and image collection database system. We chose a database development tool that allows rapid design and development of multimedia, user-friendly programs supporting Web-based applications. ...
2006 ITI 4th International Conference on Information & Communications Technology, 2006
Since the year 2003 till the present time, a picture archiving and communication system (PACS) was implemented with the radiology information system (RIS) to improve the quality, user-friendliness, accessibility, and management of radiology data (images, reports, databases, knowledge) of a large number of patients in a private radiology centre in Egypt five servers and 45 personal computers (PCs) form the ...
2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017
No-show appointments are a troublesome, but frequent, occurrence in radiology hospital departments and private practice. Prior work in medical appointment no-show prediction has focused on general practice and has not considered features specific to the radiology environment. We collect data from 16 years of outpatient examinations in a multi-site hospital radiology department. Data from the radiology information system (RIS) are ...
2016 International Conference on Information Management and Technology (ICIMTech), 2016
Implementation of data warehouse in the field of business has been profitable for the company. Nevertheless, the data warehouse implementation has not been widely applied in the field of healthcare. The purpose of this research was to determine the effectiveness of radiological data warehouse implementation in the fields of education, research, and guarantee the quality of radiology services in the ...
IEEE Potentials, 1986
Radiology computer networks are being developed for the management of digitally formatted data. Each digitally formatted imaging device is interfaced into the radiology network through image acquisition and formatting nodes. The interactive diagnosis display stations. (IDDS) provide a means of visualizing single or multi-device digitally formatted pictures. The IDDS node is an image display workstation. The discussion covers current management ...
Q&A with Dr. Elisa Konofagou: IEEE Brain Podcast, Episode 10
EMBC 2012 Theme Speaker: Dr. James Bassingthwaighte
Brooklyn 5G 2016: Dr. Christopher Collins: Before eHealth - HealthyE
Charles A. Mistretta accepts the IEEE Medal for Innovations in Healthcare Technology - Honors Ceremony 2016
How Facial Analysis Technology Can Help Children with Genetic Disorders - IEEE Region 4 Technical Presentation
Brooklyn 5G - 2015 - Chris Collins - Safety, Exposure Assessment and Dosimetry from RF to mmWave
A digital X-ray library system is vital for an academic radiology department. Existing commercial solutions for creating image collections are often not suitable for radiologic applications. For these reasons, we developed our own digital archive system and image collection database system. We chose a database development tool that allows rapid design and development of multimedia, user-friendly programs supporting Web-based applications. With this software, we developed the three main functions of our system: a. Data import function fully integrated with our different modalities. b. Data editing by means of simple and powerful management software, which is connected to the database server remotely. c. Data sharing and distribution on the viewing stations with the ability to create stand-alone CD-ROMs and with a Web server for online access by using any Web browser. The system implemented was adopted by all of our department members, and the growth of database content was clear evidence of the success and acceptance of the system by the users. Storage of selected interesting cases in the image databases will become a natural and common trend among our radiologists during their daily clinical routine.
Since the year 2003 till the present time, a picture archiving and communication system (PACS) was implemented with the radiology information system (RIS) to improve the quality, user-friendliness, accessibility, and management of radiology data (images, reports, databases, knowledge) of a large number of patients in a private radiology centre in Egypt five servers and 45 personal computers (PCs) form the integrated system (in two different branches of the centre). The first server is dedicated to management and archiving of digital imaging and communications in medicine (DICOM) images (PACS server). The second server is dedicated to uploading cases on the internet (web server). The rest of the servers are dedicated to management of the RIS and archiving of patient data, reports (word documents), and images in the digital imaging and communications in medicine (DICOM) and the joint photographic experts group (JPEG) formats. There are two main client-server networks of imaging modalities (magnetic resonance imaging, computed tomography, digital radiography), one in each of the two branches. The PACS server is located within the main branch, which is linked remotely with other branch via high speed dedicated frame relay connection diagnostic medical images within the centre are displayed in the DICOM format for reviewing and consultation. Images and reports can be distributed to referring physicians, in the form of Microsoft word documents and JPEG images, which can also be used for quick and easy archiving and distribution. Also secured patients' examinations can be viewed by the referring physician over the internet through the connection with the web server.
No-show appointments are a troublesome, but frequent, occurrence in radiology hospital departments and private practice. Prior work in medical appointment no-show prediction has focused on general practice and has not considered features specific to the radiology environment. We collect data from 16 years of outpatient examinations in a multi-site hospital radiology department. Data from the radiology information system (RIS) are fused with patient income estimated from U.S. Census data. Features were categorized into three groups: Patient, Exam, and Scheduling. Models based on the total feature set and separately on each feature group were developed using logistic regression to assess the per-appointment likelihood of no-show. After five-fold cross- validation, no-show prediction using the total feature set from 554,611 appointments yielded an area under the curve (AUC) of 0.770 ± 0.003. Feature groups that were most informative in the prediction of no-show appointments were those based on the type of exam and on scheduling attributes such as the lead time of scheduling the appointment. A data-driven no-show prediction model like the one presented here could be useful to schedulers in the implementation of an automated scheduling policy or the assignment of examinations with a high risk of no-show to lower impact appointment slots.
Implementation of data warehouse in the field of business has been profitable for the company. Nevertheless, the data warehouse implementation has not been widely applied in the field of healthcare. The purpose of this research was to determine the effectiveness of radiological data warehouse implementation in the fields of education, research, and guarantee the quality of radiology services in the hospital. Evaluation was carried out to the radiology data warehouse dashboard that had been previously developed. Specific targets to be achieved were to get input from the radiologist for the development of radiology data warehouse implemented in the hospital or radiology clinic. The methods used were data collection through literature study and questionnaires as well as radiology data warehouse evaluation in accordance with Inmon (2005). The results obtained from this study were to know the degree of interest and radiologists perception about the radiology data warehouse dashboard. It was concluded that the most important report for radiologist was the dashboard of patient demographics and the non-volatile characteristics required special attention because it was quite important for all dashboards.
Radiology computer networks are being developed for the management of digitally formatted data. Each digitally formatted imaging device is interfaced into the radiology network through image acquisition and formatting nodes. The interactive diagnosis display stations. (IDDS) provide a means of visualizing single or multi-device digitally formatted pictures. The IDDS node is an image display workstation. The discussion covers current management of digitally formatted data, the functions of network nodes, and digital radiology network system parameters.
Text mining is a popular research topic with application areas ranging from security to media and marketing. More specifically, text mining has been applied in biomedical area for the categorization of radiology reports, which is a challenging problem due to their free-text and unstructured format. State-of-the-art in radiology report mining has mostly focused on English text, while studies on Turkish reports are scarce. Accordingly, in this work we propose to employ text mining for categorization of Turkish radiology reports. We automatically remove header and footer of the reports, apply frequency analysis on the remaining report text, and perform categorization of reports to anatomical regions using pre-selected keywords. The accuracy of the proposed solution is measured as 84.3% over a 66-report test set.
Given the high caseload most radiology departments face on a daily basis, workflow streaming becomes a necessity. In addition, workflow optimization can significantly reduce cost and increase efficiency and productivity. In this paper, we present RadStream: a web-based retrospective, exploratory, interactive data visualization tool that provides a comprehensive overview of the radiology department's daily activities. We worked closely with radiology staff to analyze the department workflow and classify the analytical tasks required by domain experts in order to inform the design of the tool, and together we abstracted the steps and factors involved in the clinical imaging process. The visual representation emphasizes the time interval between the different steps and uses color-coding to denote the status of a process (on- time, acceptably late, late) in compliance with standard radiology turnaround times (TATs). RadStream is an ongoing research project. Its main focus is on monitoring performance with special attention to duration, delays, and compliance with standard TATs. RadStream is currently undergoing evaluation by radiology staff using hospital data and real scenarios to evaluate its effectiveness, and the initial feedback received is very promising. Working with domain experts, we seek to provide a tool that helps monitor and improve the radiology department's activities. And based on a few review sessions with staff radiologists, we sensed a general excitement about RadStream as a quality assurance tool. We have also collected some constructive feedback we can build upon for future releases.
In this study, we developed a rule-based natural language processing (NLP) algorithm for automatic extraction of six major osteoporotic fractures from radiology reports. We validated the NLP algorithm using a dataset of radiology reports from Mayo Clinic with the gold standard constructed by medical experts. The micro-averaged sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and F1-score of the proposed NLP algorithm are 0.796, 0.978, 0.972, 0.831, 0.874, respectively. The highest F1-score was achieved at 0.958 for the extraction of proximal femur fracture while the lowest was 0.821 for the hand and finger/wrists fracture. The experimental results verified the effectiveness of the proposed rule-based NLP algorithm in the automatic extraction of major osteoporotic fractures from radiology reports.
Interventional radiology is a medical sub-specialty of radiology which utilizes minimally-invasive image-guided procedures to diagnose and treat diseases in nearly every organ system. The entire process is pivoted on imaging and the way surgeon or doctor interacts with the images to guide him/her through the entire procedure. The process still remains to be a challenge to interact and manipulate objects in an image in sterile medical environment where keyboard, mice and touch screen are potential source of infection. This paper aims at investigating a potential solution with a low- cost, touch-free motion-tracking (hand gestures) device for interactions with image visualization environment. The solution involves a device that tracks a person's hand gestures and its motion and custom software that translates motion information obtained with the motion-tracking device into commands to review and manipulate images on a workstation. This solution would yield to a Touchless Sterile Interface for effortless image interactions in Interventional Radiology procedures.
Finding similar diagnoses for the same region are vital for patients. In this paper, we aim to find the similarity radiology reports based on bag-of-words (BoW) and Fuzzy C-Means Clustering methods. A double-layer structure is applied. Firstly, extracting features from data BoW method is applied and then Fuzzy C-Means algorithm is performed to cluster the blocks into the similar cluster and the non-similar cluster. 457 radiology reports were examined which were collected from a research and education hospital in Istanbul. Data were tested according to the 23 regions and 137 diagnosis. By the opinion of the radiologist a vocabulary consists of these regions and diagnosis were created. Experimental results on data sets have shown that for the standard documents BoW and Fuzzy C-Means Clustering can be used to find similarity.
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