The core technology of 1000shapes is based on developments and experience from more than a decade of research work in model-based image segmentation and 3D treatment planning performed at the Zuse Institute Berlin (ZIB). A unique approach to shape analysis allows for highly-detailed modeling of complex 3D shapes and their spatio-temporal variability within and across large populations. Sophisticated visualization techniques communicate shape variations in an intuitive manner. The shape-modeling technology in combination with innovative image processing techniques have set world-wide standards for highly challenging medical image segmentation problems in terms of automation, efficiency and quality. This technology was awarded multiple times:

The work on therapy planning was repeatedly distinguished by the Karl-Heinz Höhne Award for Medical Visualization (2004, 2008, and 2010).

The segmentation methodology was widely recognized through the international MICCAI segmentation contest on segmentation of liver from CT (2007), mandible from cone-beam CT (2009) and knee joint from MRI images (2010).

The “efficient projection and deformation of volumetric shape and intensity models for accurate simulation of X-ray images” was awarded in 2012 by the VCBM society.

In 2012, 1000shapes was awarded the Matheon Ausgründungspreis.

The 2015 Shape Challenge Best Prize was won by 1000shapes for the best partial shape reconstruction of resected livers.