Analysis of Scintigrams Using Fuzzy Theory

Textural features for phantom images were extracted. Texture parameters which represent RI distribution—skew, energy, entropy and angular second moment were used. But, it was difficult to analyse the images using discriminant analysis for textural features, because textural features had statistical...

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Bibliographic Details
Published inRADIOISOTOPES Vol. 39; no. 11; pp. 487 - 492
Main Authors IKEDA, Hozumi, SHIMONISHI, Yoshihiro, OHMURA, Masahiro, KISHIMOTO, Kenji, KOSAKAI, Kazuhisa, HAMADA, Kunio, OCHI, Hironobu
Format Journal Article
LanguageJapanese
Published Japan Japan Radioisotope Association 01.11.1990
Subjects
Algorithms
Discriminant Analysis
fuzzy reasoning
Image Processing, Computer-Assisted
membership function
Models, Structural
Radionuclide Imaging
scintigram
textural feature
texture analysis
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Summary:Textural features for phantom images were extracted. Texture parameters which represent RI distribution—skew, energy, entropy and angular second moment were used. But, it was difficult to analyse the images using discriminant analysis for textural features, because textural features had statistical noise. Therefore fuzzy reasoning was adapted to analyse the images. Tetxural features for six kinds of images were showed using membership function. The possibility to the image was evaluated using the value of membership function on each images. Fuzzy reasoning could be done easily using max-min composition formula. The reasoning was founded suitable to analyse the images than discriminant analysis and will be considered usefull for analysis of clinical scintigrams.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:0033-8303
1884-4111
DOI:10.3769/radioisotopes.39.11_487