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Interactive Multi-Organ Segmentation based on Multiple Template Deformation

Romane Gauriau 1, 2, 3 David Lesage 1 Mélanie Chiaradia Baptiste Morel 2, 3 Isabelle Bloch 2, 3
1 Medisys - MedisysResearch Lab
2 IMAGES - Image, Modélisation, Analyse, GEométrie, Synthèse
LTCI - Laboratoire Traitement et Communication de l'Information
3 TSI - Département Traitement du Signal et des Images
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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Conference papers
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https://hal.telecom-paris.fr/hal-02287138
Contributor : Telecomparis Hal Connect in order to contact the contributor
Submitted on : Friday, September 13, 2019 - 4:38:14 PM
Last modification on : Tuesday, October 19, 2021 - 11:15:16 AM

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  • HAL Id : hal-02287138, version 1

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LTCI | CNRS | PARISTECH | INSTITUT-TELECOM | IDS | IMAGES

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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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