Ginkgo Cadx Video

Total Page:16

File Type:pdf, Size:1020Kb

Ginkgo Cadx Video Ginkgo CADx Video http://ginkgo-cadx.com/en/extensions/ginkgo-cadx-video/ Ginkgo CADx Video is the extension specialized in dicomization of devices who generates video and its visualization. Capture video and dicomize it Ginkgo CADx Video is able to communicate with any video device registered in the operating system or with RTSP (video over network) interface and dicomize the records. Also is possible to open recorded videos, extract fragments and convert it to DICOM. Play DICOM video Ginkgo CADx Video can play videos embedded in DICOM files and interact with it like any other DICOM modality. Integrate video as any other DICOM study Ginkgo CADx Video allows to work with video evidences be treated the same way as any DICOM study and be managed as conventional DICOM study. Benefits IIntegration of any kind medical tests in the PACS: Ginkgo Video implements DICOM supplements 137 MPEG2 MP@HL Transfer Syntax to create standard DICOM files so they can be stored and retrieved from PACS servers as any other study. Easy to use and made for Ginkgo CADx: Ginkgo Video is easy to use and requires no specific training. It is compatible with any video device registered as a DirectShow© device in the system (in the version for Windows) with what is compatible with virtually any device on the market. Oriented to telemedicine environments: Ginkgo Video has been designed to be integrated in any telemedicine environment. Any doctor can handle video acquisition and incorporation into the server (PACS). At that time the specialists can download the original videos and inform. All this through your common EHR. Technical requirements Operating systems Windows XP, Windows Vista and Windows 7. MacOSX 10.5 and 10.6. Linux 2.6.x. Hardware Processor Dual Core 2GHz. 1 Gb RAM. Graphics card with OpenGL 1.1. support and at least 32 Mb. 1 GB of hard disk Screen resolution 1024 x 768 MetaEmotion Healthcare C\ Vinos de la Ribera del Duero, 5 1ºB MetaEmotion 47008. Valladolid (Spain) Healthcare [email protected] (+34) 983 10 84 94.
Recommended publications
  • Management of Large Sets of Image Data Capture, Databases, Image Processing, Storage, Visualization Karol Kozak
    Management of large sets of image data Capture, Databases, Image Processing, Storage, Visualization Karol Kozak Download free books at Karol Kozak Management of large sets of image data Capture, Databases, Image Processing, Storage, Visualization Download free eBooks at bookboon.com 2 Management of large sets of image data: Capture, Databases, Image Processing, Storage, Visualization 1st edition © 2014 Karol Kozak & bookboon.com ISBN 978-87-403-0726-9 Download free eBooks at bookboon.com 3 Management of large sets of image data Contents Contents 1 Digital image 6 2 History of digital imaging 10 3 Amount of produced images – is it danger? 18 4 Digital image and privacy 20 5 Digital cameras 27 5.1 Methods of image capture 31 6 Image formats 33 7 Image Metadata – data about data 39 8 Interactive visualization (IV) 44 9 Basic of image processing 49 Download free eBooks at bookboon.com 4 Click on the ad to read more Management of large sets of image data Contents 10 Image Processing software 62 11 Image management and image databases 79 12 Operating system (os) and images 97 13 Graphics processing unit (GPU) 100 14 Storage and archive 101 15 Images in different disciplines 109 15.1 Microscopy 109 360° 15.2 Medical imaging 114 15.3 Astronomical images 117 15.4 Industrial imaging 360° 118 thinking. 16 Selection of best digital images 120 References: thinking. 124 360° thinking . 360° thinking. Discover the truth at www.deloitte.ca/careers Discover the truth at www.deloitte.ca/careers © Deloitte & Touche LLP and affiliated entities. Discover the truth at www.deloitte.ca/careers © Deloitte & Touche LLP and affiliated entities.
    [Show full text]
  • Evaluation of DICOM Viewer Software for Workflow Integration in Clinical Trials
    Evaluation of DICOM Viewer Software for Workflow Integration in Clinical Trials Daniel Haak1*, Charles-E. Page, Klaus Kabino, Thomas M. Deserno Department of Medical Informatics, Uniklinik RWTH Aachen, 52057 Aachen, Germany ABSTRACT The digital imaging and communications in medicine (DICOM) protocol is nowadays the leading standard for capture, exchange and storage of image data in medical applications. A broad range of commercial, free, and open source software tools supporting a variety of DICOM functionality exists. However, different from patient’s care in hospital, DICOM has not yet arrived in electronic data capture systems (EDCS) for clinical trials. Due to missing integration, even just the visualization of patient’s image data in electronic case report forms (eCRFs) is impossible. Four increasing levels for integration of DICOM components into EDCS are conceivable, raising functionality but also demands on interfaces with each level. Hence, in this paper, a comprehensive evaluation of 27 DICOM viewer software projects is performed, investigating viewing functionality as well as interfaces for integration. Concerning general, integration, and viewing requirements the survey involves the criteria (i) license, (ii) support, (iii) platform, (iv) interfaces, (v) two- dimensional (2D) and (vi) three-dimensional (3D) image viewing functionality. Optimal viewers are suggested for applications in clinical trials for 3D imaging, hospital communication, and workflow. Focusing on open source solutions, the viewers ImageJ and MicroView are superior for 3D visualization, whereas GingkoCADx is advantageous for hospital integration. Concerning workflow optimization in multi-centered clinical trials, we suggest the open source viewer Weasis. Covering most use cases, an EDCS and PACS interconnection with Weasis is suggested.
    [Show full text]
  • Kitware Source Issue 21
    SOFTWARE DEVELOPER’S QUARTERLY Issue 21 • April 2012 Editor’s Note ........................................................................... 1 PARAVIEW 3.14 RELEASED In late February, Kitware and the ParaView team released Recent Releases ..................................................................... 1 ParaView 3.14. This release features usability enhancements, improvements to the Plugin framework, new panels, and ParaView in Immersive Environments .................................. 3 more than 100 other resolved issues. Teaching Open Source .......................................................... 4 ParaView 3.14 features a redesigned Find Data dialog and Color Editor. The updated Find Data dialog makes it possible ParaView Query Selection Framework................................. 7 to use complex queries to select elements, including combin- ing multiple test cases with Boolean operations. The Color Ginkgo CADx: Open Source DICOM CADx Environment .... 8 Editor, used to edit lookup tables or color tables for scalar mapping, now enables independent editing of the color and Code Review, Topic Branches and VTK ................................. 9 opacity functions. Video Analysis on Business Intelligence, ParaView’s charting capabilities have been extended with a Studies in Computational Intelligence ............................... 11 new scatter plot matrix view and the ability to visualize mul- tiple dimensions of data in one compact form. This improved The Visible Patient ..............................................................
    [Show full text]
  • Sveučilište U Zagrebu, Fakultet Strojarstva I Brodogradnje
    Primjena neuronskih mreža za segmentaciju tkiva u biomedicinskim snimkama pacijenata Delovski, Boris Master's thesis / Diplomski rad 2019 Degree Grantor / Ustanova koja je dodijelila akademski / stručni stupanj: University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture / Sveučilište u Zagrebu, Fakultet strojarstva i brodogradnje Permanent link / Trajna poveznica: https://urn.nsk.hr/urn:nbn:hr:235:481058 Rights / Prava: In copyright Download date / Datum preuzimanja: 2021-10-07 Repository / Repozitorij: Repository of Faculty of Mechanical Engineering and Naval Architecture University of Zagreb SVEUČILIŠTE U ZAGREBU FAKULTET STROJARSTVA I BRODOGRADNJE DIPLOMSKI RAD Boris Delovski Zagreb, godina 2019 SVEUČILIŠTE U ZAGREBU FAKULTET STROJARSTVA I BRODOGRADNJE DIPLOMSKI RAD Primjena neuronskih mreža za segmentaciju tkiva u biomedicinskim snimkama pacijenata Mentori: Student: Prof. dr. sc. Bojan Jerbić, dipl. ing. Boris Delovski Dr. sc. Filip Šuligoj, dipl. ing. Zagreb, godina 2019. Izjavljujem da sam ovaj rad izradio samostalno koristeći znanja stečena tijekom studija i navedenu literaturu. Zahvaljujem se svom mentoru, profesoru Bojanu Jerbiću te asistentu Filipu Šuligoju koji su mi svojim stručnim savjetima pomogli oblikovati i realizirati ovaj rad. Zahvalio bih se na svom znanju koje sam stekao za vrijeme izrade ovog rada, te na pruţenoj prilici da svoju ideju sprovedem od početka do kraja. TakoĎer bih se ţelio zahvaliti svojoj obitelji i prijateljima na pruţenoj podršci i razumijevanju. Boris Delovski Boris Delovski Diplomski
    [Show full text]
  • A Study on the Core Area Image Processing: Current Research
    The International journal of analytical and experimental modal analysis ISSN NO: 0886-9367 A Study on the Core Area Image Processing: Current Research, Softwares and Applications K.Kanimozhi1, Dr.K.Thangadurai2 1Research Scholar, PG and Research Department of Computer Science, Government Arts College, Karur-639005 2Assistant professor and Head, PG and Research Department of Computer Science, Government Arts College, Karur-639005 [email protected] [email protected] Abstract —Among various core subjects such as, networking, data mining, data warehousing, cloud computing, artificial intelligence, image processing, place a vital role on new emerging ideas. Image processing is a technique to perform some operations with an image to get its in enhanced version or to retrieve some information from it. The image can be of signal dispension, video for frame or a photograph while the system treats that as a 2D- signal. This image processing area has its applications in various wide range such as business, engineering, transport systems, remote sensing, tracking applications, surveillance systems, bio medical fields, visual inspection systems etc.., Its purpose can be of: to create best version of images(image sharpening and restoring), retrieving of images, pattern measuring and recognizing images. Keywords — Types, Flow, Projects, MATLAB, Python. I. INTRODUCTION In computer concepts, digital image processing technically means that of using computer algorithms to process digital images. Initially in1960’s the image processing had been applied for those highly technical applications such as satellite imagery, medical imaging, character recognition, wire-photo conversion standards, video phone and photograph enhancement. Since the cost of processing those images was very high however with the equipment used too.
    [Show full text]
  • Carotid Artery Plaque Identification and Display System (MRI
    diagnostics Article Carotid Artery Plaque Identification and Display System (MRI-CAPIDS) Using Opensource Tools Felipe P. Vista IV 1 , Minh Tri Ngo 2 , Seung Bin Cho 3, Hyo Sung Kwak 2,* and Kil To Chong 3,* 1 Advanced Electronic Research Information Center, Jeonbuk National University, Jeonju 54896, Korea; [email protected] 2 Department of Radiology and Research Institute of Clinical Medicine of Jeonbuk National University, Biomedical Research Institute of Jeonbuk National University Hospital, Jeonju 54907, Korea; [email protected] 3 Electronic Engineering Department, Jeonbuk National University, Jeonju 54896, Korea; [email protected] * Correspondence: [email protected] (H.S.K.); [email protected] (K.T.C.); Tel.: +82-63-250-2582 (H.S.K.); +82-63-270-2478 (K.T.C.); Fax: +82-63-272-0481 (H.S.K.); +82-63-270-2394 (K.T.C.) Received: 18 November 2020; Accepted: 15 December 2020; Published: 21 December 2020 Abstract: Magnetic resonance imaging (MRI) represents one modality in atherosclerosis risk assessment, by permitting the classification of carotid plaques into either high- or low-risk lesions. Although MRI is generally used for observing the impact of atherosclerosis on vessel lumens, it can also show both the size and composition of itself, as well as plaque information, thereby providing information beyond that of simple stenosis. Software systems are a valuable aid in carotid artery stenosis assessment wherein commercial software is readily available but is not accessible to all practitioners because of its often high cost. This study focuses on the development of a software system designed entirely for registration, marking, and 3D visualization of the wall and lumen, using freely available open-source tools and libraries.
    [Show full text]
  • Server-Aided 3D DICOM Viewer for Mobile Platforms
    https://doi.org/10.2352/ISSN.2470-1173.2021.13.ERVR-179 © 2021, Society for Imaging Science and Technology Server-Aided 3D DICOM Viewer for Mobile Platforms Menghe Zhang, J ¨urgen P. Schulze; University of California San Diego, La Jolla, CA, US Abstract We developed an Android application to load, view and interact Digital Imaging and Communications in Medicine (DICOM) with 3D medical volumes. We designed the core software mod- is an international standard to transfer, store, retrieve, print, pro- ules to make it easy to support other hardware platforms. Some cess and display medical imaging information. It provides a mobile DICOM Viewers provide access to hospital image servers standardized method to store medical images from many types of (PACS) to retrieve datasets. We created a server running on a imaging devices. Typically, CT and MRI scans, which are com- desktop, provides another option that lies in-between the mo- posed of 2D slice images in DICOM format, can be inspected bile clients and remote PACS system so that we can store pre- and analyzed with DICOM-compatible imaging software. Addi- processed MRI datasets and metadata, in order to minimize the tionally, the DICOM format provides important information to computational load on the mobile device. Compared to previously assemble cross-sections into 3D volumetric datasets. Not many existing DICOM viewers, the novel contributions of our work are: DICOM viewers are available for mobile platforms (smartphones • Real-time experience:Real-time volume rendering with a and tablets), and most of them are 2D-based with limited func- 2-stage process on mobile Android platforms.
    [Show full text]
  • A Survey of DICOM Viewer Software to Integrate Clinical Research and Medical Imaging
    A Survey of DICOM Viewer Software to Integrate Clinical Research and Medical Imaging Daniel Haak, Charles-E. Page & Thomas M. Deserno Journal of Digital Imaging The Journal of the Society for Computer Applications in Radiology ISSN 0897-1889 J Digit Imaging DOI 10.1007/s10278-015-9833-1 1 23 Your article is protected by copyright and all rights are held exclusively by Society for Imaging Informatics in Medicine. This e- offprint is for personal use only and shall not be self-archived in electronic repositories. If you wish to self-archive your article, please use the accepted manuscript version for posting on your own website. You may further deposit the accepted manuscript version in any repository, provided it is only made publicly available 12 months after official publication or later and provided acknowledgement is given to the original source of publication and a link is inserted to the published article on Springer's website. The link must be accompanied by the following text: "The final publication is available at link.springer.com”. 1 23 Author's personal copy J Digit Imaging DOI 10.1007/s10278-015-9833-1 A Survey of DICOM Viewer Software to Integrate Clinical Research and Medical Imaging Daniel Haak1 & Charles-E. Page1 & Thomas M. Deserno1 # Society for Imaging Informatics in Medicine 2015 Abstract The digital imaging and communications in Background medicine (DICOM) protocol is the leading standard for image data management in healthcare. Imaging biomarkers Digital imaging and communications in medicine and image-based surrogate endpoints in clinical trials and med- (DICOM) has been released in 1993 by the American Col- ical registries require DICOM viewer software with advanced lege of Radiology (ACR) and the National Electrical Man- functionality for visualization and interfaces for integration.
    [Show full text]
  • List of Open-Source Health Software
    10/05/2017 List of open-source health software - Wikipedia List of open-source health software From Wikipedia, the free encyclopedia This is an old revision of this page, as edited by G-eight (talk | contribs) at 13:04, 22 December 2015 (Added Bahmni as one of the available Open Source hospital systems with links to its website, and to referenced pages from OpenMRS.). The present address (URL) is a permanent link to this revision, which may differ significantly from the current revision (https://en.wikipedia.org/wiki/List_of_open- source_health_software). (diff) ← Previous revision | Latest revision (diff) | Newer revision → (diff) The following is a list of software packages and applications licensed under an open-source license or in the public domain for use in the health care industry. Contents 1 Public health and biosurveillance 2 Dental management and patient record 3 Electronic health or medical record 4 Medical practice management software 5 Health system management 6 Logistics & Supply Chain 7 Imaging/visualization 8 Medical information systems 9 Research 10 Mobile devices 11 Out-of-the-box distributions 12 Interoperability testing 13 See also 14 References Public health and biosurveillance Epi Info is public domain statistical software for epidemiology developed by Centers for Disease Control and Prevention. Spatiotemporal Epidemiological Modeler is a tool, originally developed at IBM Research, for modeling and visualizing the spread of infectious diseases. Dental management and patient record Open Dental is the first open-source dental management package with very broad capabilities on record management, patient scheduling and dental office management. Electronic health or medical record Bahmni (http://www.bahmni.org) is an open source hospital system designed for low resource settings.
    [Show full text]
  • Mazzoni (Poster) Riassunto Calass 2011
    UNIVERSITA’ POLITECNICA DELLE MARCHE - FACOLTA’ DI MEDICINA E CHIRURGIA Corso di Laurea Tecniche di Radiologia Medica, per Immagini e Radioterapia 60126 Torrette di Ancona (Ancona) (Italia) Tel. +39 071 220 6180 – Fax +39 071 220 6180 – [email protected] OPEN SOURCE ED IMAGING DIAGNOSTICO Giovanni MAZZONI, Daniele ARAMINI, Simonetta CERCACI, Luigi LA RICCIA, Federica MARCHETTI, Gabriella PASCUCCI, Tommaso ROSSINI RIASSUNTO Il software open source (OSS) è una tipologia di software per il quale ogni utilizzatore ha piena disponibilità dei codici sorgente e delle informazioni necessarie per la sua compilazione. Gli Autori hanno analizzato le funzionalità degli OSS e le loro capacità di svolgere funzioni di gestione delle immagini biomediche sovrapponibili a quelle dei software proprietari. Sono stati selezionati gli OSS su piattaforma Macintosh (in totale 21) fra cui Osirix risulta essere l’unico in grado di garantire funzioni paragonabili a quelle dei software proprietari. OSS: DEFINIZIONE E CARATTERISTICHE L’OSS è un modello di sviluppo, di diffusione e di cooperazione nel campo della information technology, nato nel 1985 con la costituzione della della FSF (Free Software Foundation) e formalizzato nella cosiddetta General Public License (GPL) per la quale un software viene rilasciato completo dei codici sorgente e delle informazioni necessarie per la compilazione (dipendenze, librerie, makefile, documentazione tecnica) al fine di porre ogni utilizzatore nelle condizioni di: duplicarne/installarne copie multiple all’interno della propria organizzazione; - modificarlo/estenderlo o inglobarlo in altri sistemi di sua proprietà; - commercializzarne le estensioni realizzate, con il solo obbligo di fornire il codice sorgente delle estensioni realizzate. Il modello di GPL non prescrive che l’OSS sia ceduto gratuitamente e non preclude, quindi, la presenza di distributori commerciali, di fornitori di valore aggiunto o di servizi di supporto.
    [Show full text]
  • Open Source Software in a Practical Approach for Post Processing of Radiologic Images
    Radiol med DOI 10.1007/s11547-014-0437-5 COMPUTER APPLICATIONS Open source software in a practical approach for post processing of radiologic images Gianluca Valeri · Francesco Antonino Mazza · Stefania Maggi · Daniele Aramini · Luigi La Riccia · Giovanni Mazzoni · Andrea Giovagnoni Received: 3 February 2014 / Accepted: 12 March 2014 © Italian Society of Medical Radiology 2014 Abstract 3D Slicer, MedINRIA, MITK 3M3, VolView, VR Render; Purpose The purpose of this paper is to evaluate the use while OsiriX received 10. of open source software (OSS) to process DICOM images. Conclusions OsiriX appears to be the only program able Materials and methods We selected 23 programs for to perform all the operations taken into consideration, simi- Windows and 20 programs for Mac from 150 possible OSS lar to a workstation equipped with proprietary software, programs including DICOM viewers and various tools allowing the analysis and interpretation of images in a sim- (converters, DICOM header editors, etc.). The programs ple and intuitive way. OsiriX is a DICOM PACS worksta- selected all meet the basic requirements such as free avail- tion for medical imaging and software for image process- ability, stand-alone application, presence of graphical user ing for medical research, functional imaging, 3D imaging, interface, ease of installation and advanced features beyond confocal microscopy and molecular imaging. This appli- simple display monitor. Capabilities of data import, data cation is also a good tool for teaching activities because it export, metadata, 2D viewer, 3D viewer, support platform facilitates the attainment of learning objectives among stu- and usability of each selected program were evaluated on a dents and other specialists.
    [Show full text]
  • Server-Aided 3D DICOM Image Stack Viewer for Android Devices
    Server-Aided 3D DICOM Image Stack Viewer for Android De- vices Menghe Zhang, J ¨urgen P. Schulze; University of California San Diego, La Jolla, CA, US Abstract user interface to provide the necessary visualization features with- Digital Imaging and Communications in Medicine (DICOM) out overwhelming the user with too much complexity. is an international standard to transfer, store, retrieve, print, pro- We developed an Android application to load, view and interact cess and display medical imaging information. It provides a with 3D medical volumes. We designed the core software mod- standardized method to store medical images from many types of ules to make it easy to support other hardware platforms. Some imaging devices. Typically, CT and MRI scans, which are com- mobile DICOM Viewers provide access to hospital image servers posed of 2D slice images in DICOM format, can be inspected (PACS) to retrieve datasets. We created a server running on a and analyzed with DICOM-compatible imaging software. Addi- desktop, provides another option that lies in-between the mo- tionally, the DICOM format provides important information to bile clients and remote PACS system so that we can store pre- assemble cross-sections into 3D volumetric datasets. Not many processed MRI datasets and metadata, in order to minimize the DICOM viewers are available for mobile platforms (smartphones computational load on the mobile device. Compared to previously and tablets), and most of them are 2D-based with limited func- existing DICOM viewers, the novel contributions of our work are: tionality and user interaction. This paper reports on our efforts to • Real-time experience:Real-time volume rendering with a design and implement a volumetric 3D DICOM viewer for mobile 2-stage process on mobile Android platforms.
    [Show full text]