A neighborhood-based probabilistic approach for fiber tracking in human cardiac DTI

Fiber tracking techniques are essential for representing and visualizing the cardiac fiber architecture information encoded in diffusion-tensor imaging (DTI) data. We propose a neighborhood-based probabilistic fiber tracking method for cardiac DTI which accounts for spatial correlation and data unce...

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Bibliographische Detailangaben

Hauptverfasser:	Hongying Li, Robini, M., Feng Yang, Yuemin Zhu
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Correlation Diffusion tensor imaging diffusion-tensor imaging (DTI) fiber tracking Humans Magnetic resonance imaging (MRI) Noise Probabilistic logic probabilistic tracking Tensile stress
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