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Spine boundary is one of the key landmarks for quantifying deformities of pathological spines. In this paper, we propose a new approach to the detection of spine boundaries. We integrate two dynamic programming procedures into a single one to enable constraints between the left and right parts of the boundary to be enforced. This dual dynamic programming approach detects two boundary curves at the same time. Moreover we propose to use angular limits in a piecewise linear model as a new smoothness constraint. This leads to a computationally efficient way of introducing high order priors. Experimental results show a very robust performance of the method.

A Dual Dynamic Programming Approach to the Detection of Spine Boundaries