Combining decision support and image processing: a PROforma model.
This paper addresses two important problems in medical image interpretation:(1) integration of numeric and symbolic information, (2) access to external sources of medical knowledge. We have developed a prototype in which image processing algorithms are combined with symbolic representations for reasoning, decision making and task management in an integrated, platform-independent system for the differential diagnosis of abnormalities in mammograms. The prototype is based on PROforma, a generic technology for building decision support systems based on clinical guidelines. The PROforma language defines a set of tasks, one of which, the enquiry, is used as means of interaction with the outside world. However, the current enquiry model has proved to be too limited for our purposes. In this paper we outline a more general model, which can be used as an interface between symbolic functions and image or other signal data.
Sordo
M
M
Advanced Computation Laboratory, Imperial Cancer Research Fund, London, UK. ms@acl.icnet.uk
Fox
J
J
Blum
C
C
Taylor
P
P
Lee
R
R
Alberdi
E
E
D000465:Algorithms; D001943:Breast Neoplasms / Q000000981:diagnostic imaging; D020000:Decision Support Systems, Clinical; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D008327:Mammography / Q000379:methods*; D016571:Neural Networks, Computer; D017410:Practice Guidelines as Topic; D011857:Radiographic Image Interpretation, Computer-Assisted / Q000379:methods*; D018511:Systems Integration