Deformable Registration of Biomedical Images Using 2D Hidden Markov Models.

Robust registration of unimodal and multimodal images is a key task in biomedical image analysis, and is often utilized as an initial step on which subsequent analysis techniques critically depend. We propose a novel probabilistic framework, based on a variant of the 2D hidden Markov model, namely, the turbo hidden Markov model, to capture the deformation between pairs of images. The hidden Markov model is tailored to capture spatial transformations across images via state transitions, and modality-specific data costs via emission probabilities.

Eczema herpeticum in a wrestler.

Eczema herpeticum (EH), first described in 1887, is characterized by a disseminated skin infection consisting of dome-shaped papules and is associated with fever, lymphadenopathy, and malaise. The condition commonly occurs on the trunk, head, and neck and is associated with numerous skin conditions, including atopic dermatitis. It is a result of a superimposed herpes simplex virus infection on otherwise compromised skin.