Abstract：
:This paper describes a multimodality framework for computer-aided myocardial viability assessment based on neuro-fuzzy techniques. The proposed approach distinguishes two main levels: the modality-independent inference level and the modality-dependent application level. This two-level distinction releases the hard constraint of multimodality image registration. An abstract description template is used to describe the different myocardial functions (contractile function, perfusion, metabolism). Parameters extracted from different image modalities are combined to derive a diagnostic image. The neuro-fuzzy techniques make our system transparent, adaptive and easily extendable. Its effectiveness and robustness are demonstrated in a positron emission tomography/magnetic resonance imaging data fusion application.
journal_name
IEEE Trans Med Imagingjournal_title
IEEE transactions on medical imagingauthors
Behloul F,Lelieveldt BP,Boudraa A,Janier MF,Revel D,Reiber JHdoi
10.1109/42.974925subject
Has Abstractpub_date
2001-12-01 00:00:00pages
1302-13issue
12eissn
0278-0062issn
1558-254Xjournal_volume
20pub_type
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