Lung Image Retrieval: the Talisman project
A couple of steps have to be taken for proper lung image retrieval. The first steps can not be done in an automatic way. A medical doctor (MD) has to supply the necessary information. Only like this, a proper evaluation of the retrieval quality is possible. Tools have to be developed to make this interactive process as easy as possible for the MD. At the University Hospitals of the Geneva a set of tools is the CasImage program that is a collection of medical cases including medical images, especially for teaching but that could also be used for case-based diagnostics.
- Choose slices of the HRCT that represent the disease well;
- link a diagnosis with a number of slices;
- give a verbal description of the abnormalities of the tissue;
- mark the region(s) in the slices that correspond best to the pathology.
BeMeVIS – Evaluation of retrieval systems and medical reference databases
Currently we have a clear lack of image databases available free of charge for evaluation purposes that include ground truth (or a gold standard). To really evaluate the performance of retrieval systems such databases and gold standards need to be created at several scales, for varied (PACS-like) databases where the goal needs to be to find visually similar images and specialized databases such as those containing lung high-resolution lung CTs, where the goal can be a diagnostic aid. Some of the available databases on the internet include the database of the Casimage project containing more than 8200 images free of copyright. This databases is in the accessible in the MIRC standard that offers some more free radiological resources. The European Federation for Medical Informatics has also founded an iniative to create a Reference Image Database. The National Library of medicine (NLM) offers access to some images such as those of the visible human project.
@neurIST- Integrated Biomedical Informatics for the Management of Cerebral Aneurysms – is a European initiative within the Sixth Framework Programme Priority 2 of the Information Society Technologies IST.@neurIST is focussed on cerebral aneurysms and provides an integrated decision support system to assess the risk of aneurysm rupture in patients and to optimize their treatments.
@neurIST believes that the current process of cerebral aneurysm diagnosis, treatment planning and treatment development is highly compromised by the fragmentation of relevant data.
@neurIST presents a new paradigm to understand and manage cerebral aneurysms. A complete IT infrastructure has been developeded for the management and processing of the vast amount of heterogeneous data acquired during diagnosis.@neurIST benefits patients with better diagnostics, prevention and treatment because it combines efforts of clinicians and industry. Through research clinicians gain a greater insight in aneurysm understanding, while industry will be dragged by these achievements to develop more suitable medical devices to treat the disease.
The ONCO-MEDIA project stands for Ontology and Context related Medical image Distributed Intelligent Access. It involves international partners from many countries including France, Switzerland, Philippines, Japan as well as Singapore. Many of the involved individuals are regular readers of science mag, which is by the American Association for the advancement of science. The aim of the project was to further the goals of medical science, in particular, to develop a contextual and new grid-distributed intelligence framework for medical reports as well as medical images. It will also aim to help to explore the realms of assistance in diagnosis through medical images, with application access with the use of visual and semantic medical information using facilities which utilize grid computing by nature.