Current medical imaging scanners allow to obtain high resolution digital images with a complex informative content expressed by the textural aspect of the membranes covering organs and tissues (hereinafter objects). These textural information can be exploited to develop a descriptive mathematical model of the objects to support heterogeneous activities within medical field. This paper presents a framework based on the texture analysis to model the objects contained in the layout of diagnostic images. By each specific model, the framework automatically also defines a connected application supporting, on the related objects, different targets, such as: segmentation, mass detection, reconstruction, and so on. The framework is tested on MRI images and results are reported.
Medical Image Analysis Through a Texture Based Computer Aided Diagnosis Framework / Avola, Danilo; Cinque, Luigi; Giuseppe, Placidi. - In: INTERNATIONAL JOURNAL OF BIOMETRIC AND BIOINFORMATICS. - ISSN 1985-2347. - STAMPA. - 6:5(2012), pp. 144-152.
Medical Image Analysis Through a Texture Based Computer Aided Diagnosis Framework
AVOLA, DANILO
Primo
;CINQUE, LUIGI;
2012
Abstract
Current medical imaging scanners allow to obtain high resolution digital images with a complex informative content expressed by the textural aspect of the membranes covering organs and tissues (hereinafter objects). These textural information can be exploited to develop a descriptive mathematical model of the objects to support heterogeneous activities within medical field. This paper presents a framework based on the texture analysis to model the objects contained in the layout of diagnostic images. By each specific model, the framework automatically also defines a connected application supporting, on the related objects, different targets, such as: segmentation, mass detection, reconstruction, and so on. The framework is tested on MRI images and results are reported.File | Dimensione | Formato | |
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