ANIMAL+INSECT: Improved Cortical Structure Segmentation
IPMI '99 Proceedings of the 16th International Conference on Information Processing in Medical Imaging
A unifying approach to registration, segmentation, and intensity correction
MICCAI'05 Proceedings of the 8th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part I
Efficient population registration of 3d data
CVBIA'05 Proceedings of the First international conference on Computer Vision for Biomedical Image Applications
Shape based segmentation of anatomical structures in magnetic resonance images
CVBIA'05 Proceedings of the First international conference on Computer Vision for Biomedical Image Applications
A Spatio-temporal Atlas of the Human Fetal Brain with Application to Tissue Segmentation
MICCAI '09 Proceedings of the 12th International Conference on Medical Image Computing and Computer-Assisted Intervention: Part I
Active mean fields: solving the mean field approximation in the level set framework
IPMI'07 Proceedings of the 20th international conference on Information processing in medical imaging
Revisiting the evaluation of segmentation results: introducing confidence maps
MICCAI'07 Proceedings of the 10th international conference on Medical image computing and computer-assisted intervention
Statistical and topological atlas based brain image segmentation
MICCAI'07 Proceedings of the 10th international conference on Medical image computing and computer-assisted intervention - Volume Part I
LOCUS: local cooperative unified segmentation of MRI brain scans
MICCAI'07 Proceedings of the 10th international conference on Medical image computing and computer-assisted intervention - Volume Part I
Mixture of segmenters with discriminative spatial regularization and sparse weight selection
MICCAI'11 Proceedings of the 14th international conference on Medical image computing and computer-assisted intervention - Volume Part III
A generative model for probabilistic label fusion of multimodal data
MBIA'12 Proceedings of the Second international conference on Multimodal Brain Image Analysis
An implicit inter-subject shape driven image deformation model for prostate motion estimation
MICCAI'12 Proceedings of the 4th international conference on Abdominal Imaging: computational and clinical applications
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The concept of the Logarithm of the Odds (LogOdds) is frequently used in areas such as artificial neural networks, economics, and biology. Here, we utilize LogOdds for a shape representation that demonstrates desirable properties for medical imaging. For example, the representation encodes the shape of an anatomical structure as well as the variations within that structure. These variations are embedded in a vector space that relates to a probabilistic model. We apply our representation to a voxel based segmentation algorithm. We do so by embedding the manifold of Signed Distance Maps (SDM) into the linear space of LogOdds. The LogOdds variant is superior to the SDM model in an experiment segmenting 20 subjects into subcortical structures. We also use LogOdds in the non-convex interpolation between space conditioned distributions. We apply this model to a longitudinal schizophrenia study using quadratic splines. The resulting time-continuous simulation of the schizophrenic aging process has a higher accuracy then a model based on convex interpolation.