On July 12, a new INNODERM paper was published in the journal IEEE Transactions on Medical Imaging by Nitkunanantharajah et al. titled “Skin surface detection in 3D optoacoustic mesoscopy based on dynamic programming“.
In this paper, the authors present a novel dynamic programming approach for skin surface detection that extracts the skin boundary as a 2D surface in one single step, as opposed to consecutive extraction of several independent 1D contours. The automatic skin surface detection method can improve the speed and accuracy in the analysis of quantitative features seen on RSOM images and accelerate the clinical translation of the technique.
Nitkunanantharajah, S. Zahnd, G. Olivo, M. Navab, N. Mohajerani P., & Ntziachristos, V., “Skin Surface Detection in 3D Optoacoustic Mesoscopy Based on Dynamic Programming,” in IEEE Transactions on Medical Imaging, vol. 39, no. 2, pp. 458-467, Feb. 2020, doi: 10.1109/TMI.2019.2928393.