Interactive Multi-Organ Segmentation based on Multiple Template Deformation

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.

Document type :
Conference papers
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https://hal.telecom-paristech.fr/hal-02287138
Contributor : Telecomparis Hal <>
Submitted on : Friday, September 13, 2019 - 4:38:14 PM
Last modification on : Thursday, October 17, 2019 - 12:37:00 PM

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  • HAL Id : hal-02287138, version 1

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Citation

Romane Gauriau, David Lesage, Mélanie Chiaradia, Baptiste Morel, Isabelle Bloch. Interactive Multi-Organ Segmentation based on Multiple Template Deformation. 18th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2015), 2015, Munich, Germany. pp.55-62. ⟨hal-02287138⟩

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