Name
Title | ||
|---|---|---|
Integrated support for medical image analysis methods: from development to clinical application. |
Abstract | ||
|---|---|---|
Computer-aided image analysis is becoming increasingly important to efficiently and safely handle large amounts of high-resolution images generated by advanced medical imaging devices. The development of medical image analysis (MIA) software with the required properties for clinical application, however, is difficult and labor-intensive. Such development should be supported by systems providing scalable computational capacity and storage space, as well as information management facilities. This paper describes the properties of distributed systems to support and facilitate the development, evaluation, and clinical application of MIA methods. First, the main characteristics of existing systems are presented. Then, the phases in a method's lifecycle are analyzed (development, parameter optimization, evaluation, clinical routine), identifying the types of users, tasks, and related computational issues. A scenario is described where all tasks are performed with the aid of computational tools integrated into an ideal supporting environment. The requirements for this environment are described, proposing a grid-oriented paradigm that emphasizes virtual collaboration among users, pieces of software, and devices distributed among geographically dispersed healthcare, research, and development enterprises. Finally, the characteristics of the existing systems are analyzed according to these requirements. The proposed requirements offer a useful framework to evaluate, compare, and improve the existing systems that support MIA development. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1109/TITB.2006.874929 | IEEE transactions on information technology in biomedicine : a publication of the IEEE Engineering in Medicine and Biology Society |
Keywords | Field | DocType |
optimisation,medical information systems,health care,medical image analysis,grid computing,image resolution,medical imaging device,parameter evaluation,grid-oriented paradigm,biomedical equipment,computer-aided medical image analysis,information management facilities,parameter optimization,distributed computing,medical image analysis software,high-resolution image,healthcare,medical image processing,problem-solving environment | Computer vision,Problem solving environment,Data mining,Information management,Software design,Grid computing,Computer science,Virtual collaboration,Software,Artificial intelligence,System integration,Scalability | Journal |
Volume | Issue | ISSN |
11 | 1 | 1089-7771 |
Citations | PageRank | References |
9 | 0.68 | 16 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sílvia Delgado Olabarriaga | 1 | 30 | 2.69 |
| jeroen g snel | 2 | 38 | 3.51 |
| Charl P. Botha | 3 | 182 | 19.15 |
| R. G. Belleman | 4 | 37 | 5.67 |