Publikation

Segmentation of Femoral Head from CT after Femoral Neck Fracture

Josef Pelikan, Martin Horak, Lukas Marsalek, Jan Horacek, Philipp Slusallek

In: IAPR Conference on Machine Vision Applications 2009, MVA 2009. IAPR Conference on Machine Vision Applications (MVA-09) May 20-22 Yokohama Japan Seiten 243-248 ISBN 978-4-901122-09-2 MVA 5/2009.

Abstrakt

We present a semi-automatic method for femoral head segmentation from CT dataset based on finding an optimal path through a polar transformation of axial slices. The cost function is a combination of corticallis properties (the directional behavior of 3D gradients and their magnitude in 2D slices, where they form typical "channels"). The volume is computed using filling and morphological operations. Since no explicit information about the shape of the femoral head is used, the method is also suitable for many other types of fractures or damaged femoral heads. The implementation was experimental ly validated on the Radiology Department of University Hospital Bulovka in Prague and al lows radiologists to intuitively and accurately estimate the femoral head density in approximately 1 to 3 minutes.

Weitere Links

Deutsches Forschungszentrum für Künstliche Intelligenz
German Research Center for Artificial Intelligence