Marching cubes: A high resolution 3D surface construction algorithm
SIGGRAPH '87 Proceedings of the 14th annual conference on Computer graphics and interactive techniques
A multiphase approach to efficient surface simplification
Proceedings of the conference on Visualization '02
Posture matching and elastic registration of a mouse atlas to surface topography range data
ISBI'09 Proceedings of the Sixth IEEE international conference on Symposium on Biomedical Imaging: From Nano to Macro
2D/3D registration of micro-CT data to multi-view photographs based on a 3D distance map
ISBI'09 Proceedings of the Sixth IEEE international conference on Symposium on Biomedical Imaging: From Nano to Macro
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In this paper we propose a novel semi-automated atlas-based approach for organ and bone approximation for micro-Magnetic Resonance Imaging (µMRI) data of mice. Based on a set of 18 manually indicated landmarks at specific joint & bone locations, individual atlas bones (pelvis, limb bones and sternum) are mapped to the target in a first step and a sparse set of corresponding landmarks on a skin surface representation is determined in a second step. Subsequently, this sparse set on the skin is used to derive a dense set of correspondences relying on matching spectra of local geodesic distances. Finally, determined by the skin correspondence, a Thin-Plate-Spline (TPS) approximation of major organs (heart, lungs, liver, spleen, stomach, kidneys) is performed. The method was tested using 3 µMRI mouse datasets and the MOBY atlas. The performance of the organ approximation algorithm was estimated using manual segmentations of 6 organs for each MRI dataset and calculating Dice indices of organ-volume overlap for each dataset and the atlas. The obtained results indicate excellent fitting of heart and kidneys and moderate fitting of spleen, lungs, liver and stomach. These initial results are satisfactory and comparable to other organ mapping studies using different approaches and µComputed Tomography (CT) mouse data.