Multi-object segmentation with coupled deformable models.

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Annals of the British Machine Vision Association. 2009;2009(5):1-10

Multi-object segmentation with coupled deformable models. Kainmueller Lab

Kainmueller D, Lamecker H, Zachow S

Note: Research in this publication was not performed at Janelia.

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Abstract

For biomechanical simulations, the segmentation of multiple adjacent anatomical struc- tures from medical image data is often required. If adjacent structures are barely dis- tinguishable in image data, in general automatic segmentation methods for single struc- tures do not yield sufficiently accurate results. To improve segmentation accuracy in these cases, knowledge about adjacent structures must be exploited. Optimal graph searching (graph cuts) based on deformable surface models allows for a simultaneous segmentation of multiple adjacent objects. However, this method requires a correspon- dence relation between vertices of adjacent surface meshes. Line segments, each con- taining two corresponding vertices, may then serve as shared displacement directions in the segmentation process. In this paper we propose a scheme for constructing a corre- spondence relation in adjacent regions of two arbitrary surfaces. This correspondence relation implies shared displacement directions that we apply for segmentation with de- formable surfaces. Here, overlap of the surfaces is guaranteed not to occur. We show correspondence relations for regions on a femoral head and acetabulum and other adja- cent structures, as well as an evaluation of segmentation results on 50 ct images of the hip joint.

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Multi-object segmentation with coupled deformable models.

Note: Research in this publication was not performed at Janelia.

Abstract