Elements of information theory
Elements of information theory
Parametrization of closed surfaces for 3-D shape description
Computer Vision and Image Understanding
Shape modeling and analysis with entropy-based particle systems
IPMI'07 Proceedings of the 20th international conference on Information processing in medical imaging
Uncertainty in white matter fiber tractography
MICCAI'05 Proceedings of the 8th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part I
Cortical surface alignment using geometry driven multispectral optical flow
IPMI'05 Proceedings of the 19th international conference on Information Processing in Medical Imaging
Multiple cortical surface correspondence using pairwise shape similarity
MICCAI'10 Proceedings of the 13th international conference on Medical image computing and computer-assisted intervention: Part I
Group-wise cortical correspondence via sulcal curve-constrained entropy minimization
IPMI'13 Proceedings of the 23rd international conference on Information Processing in Medical Imaging
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This paper presents a novel method of optimizing point-based correspondence among populations of human cortical surfaces by combining structural cues with probabilistic connectivity maps. The proposed method establishes a tradeoff between an even sampling of the cortical surfaces (a low surface entropy) and the similarity of corresponding points across the population (a low ensemble entropy). The similarity metric, however, isn't constrained to be just spatial proximity, but uses local sulcal depth measurements as well as probabilistic connectivity maps, computed from DWI scans via a stochastic tractography algorithm, to enhance the correspondence definition. We propose a novel method for projecting this fiber connectivity information on the cortical surface, using a surface evolution technique. Our cortical correspondence method does not require a spherical parameterization. Experimental results are presented, showing improved correspondence quality demonstrated by a cortical thickness analysis, as compared to correspondence methods using spatial metrics as the sole correspondence criterion.