Abstract
We present a new method for the segmentation of multiple organs (2D or 3D) which enables user inputs for smart contour editing. By extending the work of [1] with user-provided hard constraints that can be optimized globally or locally, we propose an efficient and user-friendly solution that ensures consistent feedback to the user interactions. We demonstrate the potential of our approach through a user study with 10 medical imaging experts, aiming at the correction of 4 organ segmentations in 10 CT volumes. We provide quantitative and qualitative analysis of the users’ feedback.
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Gauriau, R., Lesage, D., Chiaradia, M., Morel, B., Bloch, I. (2015). Interactive Multi-organ Segmentation Based on Multiple Template Deformation. In: Navab, N., Hornegger, J., Wells, W., Frangi, A. (eds) Medical Image Computing and Computer-Assisted Intervention – MICCAI 2015. MICCAI 2015. Lecture Notes in Computer Science(), vol 9351. Springer, Cham. https://doi.org/10.1007/978-3-319-24574-4_7
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DOI: https://doi.org/10.1007/978-3-319-24574-4_7
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