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Open Source Medical Image Analysis

Ziel

Medical image analysis is an established research field as well as a multi-billion dollar industry. However, the lack of a shared software environment within which research is performed limits the reuse of algorithms by other groups, minimises the achievement of long-term objectives and inhibits the uptake of techniques by commercial organisations. In this proposal we intend to trial TINA, a proven image analysis research environment, as an open source medical image analysis system. The consortium will implement and validate a distribution and contribution framework around the software and establish a user community. We will develop and trial an open software interface system to enable commercial organisations to rapidly assess the algorithms available. We will also establish a license framework enabling both the free exchange of research ideas under a public license as well as providing conditions for commercial exploitation.

Objectives:
- Establish OSMIA as the environment of choice for medical image analysis research building on an existing, proven technology;
- Establish a developer community to support and encourage the adoption of OSMIA;
- Validate and demonstrate the benefits of using OSMIA in research, ensuring the co-operative sharing of algorithmic ideas;
- Specify and introduce a software interface enabling OSMIA executables to be driven from third party commercial products;
- Validate and demonstrate this interface as a means of enabling commercial organisations to rapidly evaluate and assess research techniques for exploitation and provide clinical end users with access to state-of-the-art research algorithms;
- Disseminate and promote the use of OSMIA at relevant exhibitions and conferences.

Work description:
In order to achieve a stable, supported open source release of OSMIA suitable for co-operative research we shall;
- Install the existing TINA code base onto a centralised access point (server) and provide repository services such as CVS for the distribution and contribution of code;
- Improve the client side installation of the system by introducing auto-configuration tools and extending the existing GUIs to include GTK and/or Tcl/Tk;
- Introduce a range of documentation and community related support systems, such as email lists and a developer website;
- Establish a user group of consortium members and other related parties in order to assess the systems implemented and ultimately bootstrap the user community;
- Establish a public license for OSMIA In order to promote OSMIA to commercial organisations we shall;
- Introduce a open software interface using a technology such as a remote procedural call or object brokering to allow commercial or other products to execute functionality in OSMIA based software;
- Implement a compatible interface in a leading commercial medical visualisation program and use it to evaluate algorithms in OSMIA for commercial exploitation;
- Establish exploitation conditions for algorithms in OSMIA (compatible with the public license).

In order to disseminate OSMIA we shall:
- Promote OSMIA at exhibitions targeting clinical end users, commercial organisations as well as researchers, (ECR);
- Demonstrate OSMIA at conferences (MIUA, MICCAI) in Europe and the US;
- Actively distribute OSMIA with Linux distributions and with versions of medical visualisation software.

Milestones:
We expect that by the end of the project OSMIA will be recognised as the leading environment for co-operative medical image analysis. Researchers will use it in order to increase their productivity, ensure the longevity of their work and promote their research to industry. Commercial organisations will utilise OSMIA as a focal point in identifying algorithms, using the interface mechanisms to rapidly assess the capabilities of new research techniques for commercial exploitation.

Wissenschaftliches Gebiet (EuroSciVoc)

CORDIS klassifiziert Projekte mit EuroSciVoc, einer mehrsprachigen Taxonomie der Wissenschaftsbereiche, durch einen halbautomatischen Prozess, der auf Verfahren der Verarbeitung natürlicher Sprache beruht. Siehe: Das European Science Vocabulary.

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THE VICTORIA UNIVERSITY OF MANCHESTER
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