Esra Neufeld, Bryn Lloyd, and Niels Kuster, in Simulation and Synthesis in Medical Imaging, Proceedings of the First International Workshop, SASHIMI 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 21, 2016, Volume 9968 of the series Lecture Notes in Computer Science, pp. 45–54, online October, 2016
Image data has been used to create the Virtual Population models, a suite of highly detailed anatomical models (male/female, neonates/children/adults/elderly, average build/obese), which have been found to be useful for a wide range of computational life sciences applications. The models are at the core of the Sim4Life simulation platform. Different image modalities provide a wealth of information to enable model functionalization by facilitation of parameterization and animation of the anatomy, consideration of tissue inhomogeneity, imposition of realistic boundary conditions, and integration of dynamic physiological models. Closing the circle, these functionalized anatomical models have also been used to generate virtual image data, particularly by simulation of MRI scanning. Thus, image data can be produced under controlled conditions and with known base-anatomy for different pulse sequences. Virtual imaging has been used to study various imaging artefacts.
The scientific and technical impact of the publication can be summarized as: