- Semantic Web and Ontologies
- Medical Imaging Techniques and Applications
- AI in cancer detection
- Digital Radiography and Breast Imaging
- Advanced Data Compression Techniques
- Radiomics and Machine Learning in Medical Imaging
- Advanced Database Systems and Queries
- Advanced X-ray and CT Imaging
- Image and Signal Denoising Methods
- Cognitive Computing and Networks
- Scientific Computing and Data Management
- Data Management and Algorithms
- Algorithms and Data Compression
- AI-based Problem Solving and Planning
- Image Retrieval and Classification Techniques
- Neural Networks and Applications
- Lung Cancer Diagnosis and Treatment
- Explainable Artificial Intelligence (XAI)
- Petri Nets in System Modeling
- Radiation Dose and Imaging
- Artificial Intelligence in Healthcare
- Medical Image Segmentation Techniques
- Biomedical Text Mining and Ontologies
- Wireless Sensor Networks for Data Analysis
Inserm
1990-2005
Institut Gustave Roussy
1990-1993
University College London
1992
This paper deals with the development of standards in field medical imaging and picture archiving communication systems (PACS's), notably concerning interworking between PACS's hospital information (HIS). It explains, detail, how a conceptual model management images, such as image an open system architecture (MIMOSA) model, can contribute to for PACS's. contribution is twofold: 1) Since lists structures concepts resources involved make images available users when where they are required,...
Evaluations of procedures in medical image processing are notoriously difficult and often unconvincing. From a detailed bibliographic study, we analyzed the way evaluation studies conducted extracted number entities common to any protocol. this analysis, propose here generic model (GEM). The GEM includes notion hierarchical evaluation, identifies components which have always be defined when designing an protocol shows relationships that exist between these components. By suggesting rules...
In order to allow an efficient archiving and retrieval of biomedical images, PACS would include image DBMS. As images have complex structures we developed a specific DBMS over relational one. The medical database manager ensures data description that takes into account semantics so consistency or existential constraints may be verified. It provides unique language retrieve no matter what their storage format. encompasses the queries user which constitute filter associated data. can handle...
Our objective is to offer clinicians wider access evolving medical image processing (MIP) techniques, crucial improve assessment and quantification of physiological processes, but difficult handle for non-specialists in MIP. Based on artificial intelligence our approach consists the development a knowledge-based program supervision system, automating management MIP libraries. It comprises library programs, knowledge base capturing expertise about programs data engine. selects, organizes...
This paper is concerned with the main underlying concepts of a comprehensive data model for medical image database (MIDB), which was developed by NRV-PACS group. based on semantic and object-oriented theory describes not only an its environment, as it case standard models, but all meaningful informations such acquired or processed set structures. can also take into account changes in production processes (new kinds acquisition new processing techniques) because does describe entities...
Due to improvements in technology of information processing systems, more and valuable is generated each day, biomedical institutions. Thus, providing a mutual understanding between all users vital health care either paper or computer based. This state interoperability can be reached by designing an open environment for managing, exchanging distributing images the related informations. PACS attempt overcome this challenge. Until now, they are only defined terms data tools, not users'...
The clinical use of image processing requires both medical knowledge and expertise in techniques. We have designed a knowledge-based interactive quantification support system (IQSS) to help the user evaluation processing, development specific protocols. As proceeds according heuristic intuitive approach, our is meant work similar behavior. At basis reasoning monitoring system, there are semantic features an processing. These describe their intrinsic properties, not symbolic description...
The successful implementation of medical PACS requires the use powerful compression coding to archive and transmit images image series. In this prospect, we developed evaluated a general irreversible method compress series achieving ratios as high 50:1 100:1. implemented technique combines two schemes which multiply their effects. A principal component analysis, first step conventional factor analysis dynamic structures (FADS), is applied original limited number components (curves)...
Acquisitions of 3-D (x,y,t) and 4-D (x,y,z,t) medical image sequences become usual, especially in the case dynamic studies performed with modalities such as MRI, fast x-ray CT, or PET. It results a significant increase data volume and, consequently, necessity, which is emphasized by development PACS, to reduce storage space transmission bandwidth. A multidimensional sequence coding method based on multiple decorrelation scheme presented. In first step, an orthogonal transform, factor...
The purpose of this paper is i) to explain the need for a generic image model in medical imaging, ii) describe under which conditions such can be built, and iii) present we have been developing during last two years framework ofthe EurlPacs IMimosaproject ATM programme European Communities'. Several organisations are process defining communication standards (in particular DICOM) as successfully demonstrated RNSA meeting. Such standard an absolute necessity implementing PACS, since it...
Currently, various data formats are widely used for medical imags, e.g. DICOM exchange through network and storage media, INTERFILE image in nuclear medicine. These only able partly to solve problems arising accessing handling imags. To such problems, an ontology dedicated the description of knowledge involved management images has been designed. The offers a semantic frame reference which manipulation tools can refer. It considers point view on data, related context production, content,and...
Today the necessity to compress data in order improve archiving and transmission of images is a widely held opinion medical imaging field. Medical image sequence compression real challenge which has not yet received much attention even if use 3D orthogonal transforms achieve interframe was considered. We used Factor Analysis Dynamic Structures (FADS) allows process dynamic studies (nuclear medicine, CT or MRI) estimate underlying physiological functions simultaneously as first step an...
In medical imaging, many methods of irreversible compression have been studied. However, none them has adopted as a standard, probably because the lack agreement regarding what is meant by 'acceptable' for an scheme. Among numerous evaluation studies which performed, few only involved psychovisual approach, and it unsafe to draw definite conclusion from reported result. The purpose this work was determine importance intra inter observer variability in very specific protocol involving...
The clinical use of image analysis requires on the one hand a knowledge pathology, physiology and other medical fields, expertise in processing techniques. Because increasing complexity, these techniques are not often employed by users, who want to focus interpreting results rather than focusing choice specific package, way it operates underlying processes. Thus is prime importance users have at their disposal system which can accept as input, then convert into an appropriate mathematical...