Stable release | 1.5.r4 / October 2012 |
---|---|
Written in | C++ |
Operating system | Windows, Linux |
Type | Scientific visualization and image computing |
License | BSD-style |
Website | gimias |
GIMIAS is a workflow-oriented environment focused on biomedical image computing and simulation. The open-source framework is extensible through plug-ins and is focused on building research and clinical software prototypes. Gimias has been used to develop clinical prototypes in the fields of cardiac imaging and simulation, angiography imaging and simulation, and neurology [1] [2]
GIMIAS is being funded by several national and international projects like cvREMOD, euHeart or VPH NoE. [3]
GIMIAS stands for Graphical Interface for Medical Image Analysis and Simulation. GIMIAS provides a graphical user interface with all main data IO, visualization and interaction functions for images, meshes and signals. GIMIAS features include:
GIMIAS is a development framework that allows developers to create their own medical applications using different plug-ins that can be dynamically loaded and combined. The prototypes developed on GIMIAS can be verified by end users in real scenarios and with real data at early development stages. [6]
Is developed using C++ language, has a plug-in architecture, and is cross-platform by means of the standard CMake tool. Is possible to integrate new libraries using CSnake tool and is based on common open source libraries like VTK, ITK, MITK, BOOST and wxWidgets. A plug-in can extend the framework adding new processing components, GUI components like toolbars or windows, new data processing types or new rendering libraries. [7]
GIMIAS supports several types of plug-ins, starting from a simple DLL, a 3D Slicer compatible command line plug-in or a more complex GIMIAS plug-in with customized graphical interface. Automated GUI generation and extensible data object model allow to share plug-ins with other frameworks and empower interoperability.
The software is available on Windows and Linux, 64-bit and 32-bit. [8]
Initial versions of the open source framework was released by the end of 2009 (GIMIAS 0.6.15 was released in October 2009). [9]
In 2010, more effort was done to empower the open source framework itself, providing more functionality like workflow manager, 3D Slicer plug-in compatibility, signal viewer and customizable views. GIMIAS version 0.8.1, 1.0.0, 1.1.0 and 1.2.0 were released during this year.
GIMIAS Team have collaborated with:
GIMIAS is one of the tools used in the Virtual Physiological Human. [14]
A picture archiving and communication system (PACS) is a medical imaging technology which provides economical storage and convenient access to images from multiple modalities. Electronic images and reports are transmitted digitally via PACS; this eliminates the need to manually file, retrieve, or transport film jackets, the folders used to store and protect X-ray film. The universal format for PACS image storage and transfer is DICOM. Non-image data, such as scanned documents, may be incorporated using consumer industry standard formats like PDF, once encapsulated in DICOM. A PACS consists of four major components: The imaging modalities such as X-ray plain film (PF), computed tomography (CT) and magnetic resonance imaging (MRI), a secured network for the transmission of patient information, workstations for interpreting and reviewing images, and archives for the storage and retrieval of images and reports. Combined with available and emerging web technology, PACS has the ability to deliver timely and efficient access to images, interpretations, and related data. PACS reduces the physical and time barriers associated with traditional film-based image retrieval, distribution, and display.
Digital Imaging and Communications in Medicine (DICOM) is a technical standard for the digital storage and transmission of medical images and related information. It includes a file format definition, which specifies the structure of a DICOM file, as well as a network communication protocol that uses TCP/IP to communicate between systems. The primary purpose of the standard is to facilitate communication between the software and hardware entities involved in medical imaging, especially those that are created by different manufacturers. Entities that utilize DICOM files include components of picture archiving and communication systems (PACS), such as imaging machines (modalities), radiological information systems (RIS), scanners, printers, computing servers, and networking hardware.
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The Virtual Physiological Human (VPH) is a European initiative that focuses on a methodological and technological framework that, once established, will enable collaborative investigation of the human body as a single complex system. The collective framework will make it possible to share resources and observations formed by institutions and organizations, creating disparate but integrated computer models of the mechanical, physical and biochemical functions of a living human body.
Materialise Mimics is an image processing software for 3D design and modeling, developed by Materialise NV, a Belgian company specialized in additive manufacturing software and technology for medical, dental and additive manufacturing industries. Materialise Mimics is used to create 3D surface models from stacks of 2D image data. These 3D models can then be used for a variety of engineering applications. Mimics is an acronym for Materialise Interactive Medical Image Control System. It is developed in an ISO environment with CE and FDA 510k premarket clearance. Materialise Mimics is commercially available as part of the Materialise Mimics Innovation Suite, which also contains Materialise3-matic, a design and meshing software for anatomical data. The current version is 24.0(released in 2021), and it supports Windows 10, Windows 7, Vista and XP in x64.
Mango is a non-commercial software for viewing, editing and analyzing volumetric medical images. Mango is written in Java, and distributed freely in precompiled versions for Linux, Mac OS and Microsoft Windows. It supports NIfTI, ANALYZE, NEMA and DICOM formats and is able to load and save 2D, 3D and 4D images.
Synopsys Simpleware ScanIP is a 3D image processing and model generation software program developed by Synopsys Inc. to visualise, analyse, quantify, segment and export 3D image data from magnetic resonance imaging (MRI), computed tomography (CT), microtomography and other modalities for computer-aided design (CAD), finite element analysis (FEA), computational fluid dynamics (CFD), and 3D printing. The software is used in the life sciences, materials science, nondestructive testing, reverse engineering and petrophysics.
MeVisLab is a cross-platform application framework for medical image processing and scientific visualization. It includes advanced algorithms for image registration, segmentation, and quantitative morphological and functional image analysis. An IDE for graphical programming and rapid user interface prototyping is available.
Amira is a software platform for visualization, processing, and analysis of 3D and 4D data. It is being actively developed by Thermo Fisher Scientific in collaboration with the Zuse Institute Berlin (ZIB), and commercially distributed by Thermo Fisher Scientific — together with its sister software Avizo.
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openQRM is a free and open-source cloud-computing management platform for managing heterogeneous data centre infrastructures.
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