IEEE transactions on medical imaging · 2007
Shape-based normalization of the corpus callosum for DTI connectivity analysis.
Оценочное исследованиеСтатьяПоддержка NIH: внешняя программаНазвание и аннотация: Перевод в очереди
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Sun Hui, Yushkevich Paul A, Zhang Hui, Cook Philip A, Duda Jeffrey T, Simon Tony J, Gee James C
Аннотация
The continuous medial representation (cm-rep) is an approach that makes it possible to model, normalize, and analyze anatomical structures on the basis of medial geometry. Having recently presented a partial differential equation (PDE)-based approach for 3-D cm-rep modeling [1], here we present an equivalent 2-D approach that involves solving an ordinary differential equation. This paper derives a closed form solution of this equation and shows how Pythagorean hodograph curves can be used to express the solution as a piecewise polynomial function, allowing efficient and robust medial modeling. The utility of the approach in medical image analysis is demonstrated by applying it to the problem of shape-based normalization of the midsagittal section of the corpus callosum. Using diffusion tensor tractography, we show that shape-based normalization aligns subregions of the corpus callosum, defined by connectivity, more accurately than normalization based on volumetric registration. Furthermore, shape-based normalization helps increase the statistical power of group analysis in an experiment where features derived from diffusion tensor tractography are compared between two cohorts. These results suggest that cm-rep is an appropriate tool for normalizing the corpus callosum in white matter studies.
Предметные рубрики MeSH
Agenesis of Corpus CallosumAlgorithmsArtificial IntelligenceChildComputer SimulationCorpus CallosumDiffusion Magnetic Resonance ImagingHumansImage EnhancementImage Interpretation, Computer-AssistedImaging, Three-DimensionalModels, NeurologicalModels, StatisticalNerve Fibers, MyelinatedPattern Recognition, AutomatedReproducibility of ResultsSensitivity and SpecificitySubtraction Technique