Judith Hradsky

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We extend the well-known scalar image bilateral filtering technique to diffusion tensor magnetic resonance images (DTMRI). The scalar version of bilateral image filtering is extended to perform edge-preserving smoothing of DT field data. The bilateral DT filtering is performed in the log-Euclidean framework which guarantees valid output tensors. Smoothing(More)
In this paper we present a bilateral image filtering algorithm for edge-preserving smoothing of diffusion tensor magnetic resonance imaging (DTMRI) data. The bilateral filtering is performed in the Log-Euclidean framework which guarantees valid output tensors. Smoothing is achieved by weighted averaging of neighboring tensors. Analogous to bilateral(More)
In this paper we extend two popular classical scalar medical image segmentation techniques to diffusion tensor magnetic resonance images (DTMRI). We propose DT-snakes and DT-livewire through modifying the external image forces in snakes and cost terms in livewire. The new forces and cost terms are derived from and operate on a DT field rather than a scalar(More)
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