Modeling and shape decomposition of anatomical organs by using superquadric primitives

The problem of modeling 3-D real objects by using superquadric primitives is addressed. A method for automatic decomposition of complex 3-D shapes is presented. The capabilities of the method are evaluated by applying it to real 2-D and 3-D images of the human brain, which have been obtained from magnetic resonance multislices. The results show the feasibility of the approach and also confirm its capability for quantitatively evaluating the results by means of error-rate computation. >