Supervision : Andrea PINNA, Isabell BLOCH
Co-supervision : SZEWCZYK Jérôme (ISIR)

Image analysis with artificial intelligence methods for digestive endoscopic intervention

My thesis work focuses on automatic guidewire segmentation on 2D fluoroscopic X-ray images.

There are several methodological difficulties: the limited amount of imaging data, the low quality of the images and the lack of an annotated database. To overcome these challenges, several contributions are proposed in this thesis. First we created a data base.

Then our approach is to compare different loss functions for guidewire segmentation. We obtain good segmentation of numerically important portions.

Finally, we also segment the endoscope that carries the guidewire at the entrance to the bile ducts, and assess whether knowledge of its position in the image can influence guidewire segmentation.

In conclusion, this work represents a first approach to guidewire segmentation to improve the ERCP procedure.

Phd defence : 12/13/2024

Jury members :

Aymeric HISTACE, Professeur des universités, ETIS-CNRS/CY, Cergy [Rapporteur]
Hugues TALBOT, Professeur CentraleSupélec, Gif-sur-Yvette [Rapporteur]
Nadjia KACHENOURA, Directrice de recherche INSERM, LIB, Paris
Odyssée MERVEILLE, Maîtresse de conférences, CREATIS, Lyon
Andrea PINNA, Professeur des universités, LIP6
Isabelle BLOCH, Professeure des universités, LIP6
Jérôme SZEWCZYK, Professeur des universités, ISIR

2022-2024 Publications

• 2024
  • G. Martin : “Analyse d’image par des méthodes d’intelligence artificielle en endoscopie digestive interventionnelle, cas de la CPRE”, thesis, phd defence 12/13/2024, supervision Pinna, Andrea Bloch, Isabell, co-supervision : Szewczyk, Jérôme (ISIR) (2024)
  • G. Martin, A. Becq, I. Bloch, M. Camus, A. Pinna, J. Szewczyk : “Comparison of Loss Functions for Guidewire Automatic Detection on a Limited Dataset of Fluoroscopic Images for Endoscopic Retrograde Cholangiopancreatography”, 2024 IEEE International Symposium on Biomedical Imaging (ISBI), Athens, Greece, pp. 1-4, (IEEE) (2024)
  • G. Martin, A. Becq, I. Bloch, M. Camus, A. Pinna, J. Szewczyk : “Comparaison de fonctions de coût pour la détection automatique de fil guide sur des images fluoroscopiques de Cholangiopancréatographie Rétrograde Endoscopique”, Colloque Français d'Intelligence Artificielle en Imagerie Biomédicale, Grenoble, France (2024)
• 2022
  • O. Thiery, G. Martin, I. Bloch, M. Dres, U. Saleem, A. Pinna : “Semi-Automatic A-Line Detection and Confidence Scoring in Lung Ultrasound”, BioCAS 2022 - Biomedical Circuits and Systems Conference, Taipei, Taiwan, Province of China (2022)
  • G. Martin, S. El‑Madafri, A. Becq, J. Szewczyk, I. Bloch : “Instruments Segmentation in X-ray Fluoroscopic Images for Endoscopic Retrograde Cholangio Pancreatography”, Studies in Health Technology and Informatics, vol. 294, Studies in Health Technology and Informatics, pp. 133-134, (IOS Press) (2022)