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A doctoral thesis recently read at the Polytechnic University of Cartagena (UPCT) presented a formulation to analyze, characterize and segment objects faster by 3D and 4D image processing.
Research Rafael Berenguer Vidal, directed by Professor of the School of Higher Technical Engineering in Telecommunications (ETSIT) Rafael Verdú Wallet, focuses on deformable models, mathematical methods used to delineate the edges of objects by curved surfaces volumes which are deformed under the influence of internal and external forces.
The application of these models is effective and valid, says the thesis, the characterization of multidimensional data, since these deformable models are able to emulate the shape and physical properties of objects, particularly those with movement or deformation not rigid .
The proposed formulation has been validated in 3D and 4D scenarios in different applications.
Among others, the models have been applied in the characterization of topographic data with noise and on the segmentation and tracking of moving objects in medical images, such as prodecedentes CT (computed tomography).
Also have been used effectively and efficiently models to simulate soft tissue deformation under pressure, to test useful in organ surgery technique.
The work done in this thesis extends the classical formulation to multidimensional case and moved to turn the Fourier domain, yielding computationally efficient implementations.
Source: UPCT
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