A novel T-CAD framework to support medical image analysis and reconstruction

Authors:
Danilo Avola;Luigi Cinque;Marco Di Girolamo
Affiliations:
Sapienza University of Rome, Department of Computer Science, Rome, Italy;Sapienza University of Rome, Department of Computer Science, Rome, Italy;Sapienza University of Rome, S.Andrea Hospital, Department of Diagnostic Science, Rome, Italy
Venue:
ICIAP'11 Proceedings of the 16th international conference on Image analysis and processing - Volume Part II
Year:
2011

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Abstract

The current medical imaging devices allow to obtain high resolution digital images with a complex informative content expressed by the textural skin that covers organs and tissues (hereinafter objects). These textural information can be exploited to develop a descriptive mathematical model of the objects by which to support heterogeneous activities within the medical field. This paper describes our developed framework based on the texture analysis by which to mathematically model every object contained in the layout of the total body NMR images. By every specific model, the framework automatically also defines a connected application which supports, on the related object, different fixed targets, such as: segmentation, mass detection, reconstruction, and so on.