A semi-automatic method has been developed which segments the prostate in slices of Magnetic Resonance Imaging (MRI) data. The developed approach exploits the characteristics of the anatomical shape of the prostate when represented in a polar transform space. Simple techniques, such as line detection and non-maximum suppression, are used to track the boundary of the prostate. The initial results, based on a small set of data, indicate a good correlation with expert based manual segmentation.
|Lecture Notes in Computer Science
|Springer Berlin / Heidelberg
|1st Iberian Conference
|Puerto de Andratx, Mallorca
|4/06/03 → 6/06/03