Qualitative Comparison of Image Stitching Algorithms for Multi-Camera Systems in Laparoscopy - Archive ouverte HAL
Accéder directement au contenu Accéder directement à la navigation
Article dans une revue

Qualitative Comparison of Image Stitching Algorithms for Multi-Camera Systems in Laparoscopy

Sylvain Guy 1, 2 Jean-Loup Haberbusch 1, 2 Emmanuel Promayon 1, 2 Stéphane Mancini 3 Sandrine Voros 1, 2 
1 TIMC-IMAG-GMCAO - Gestes Medico-chirurgicaux Assistés par Ordinateur
TIMC-IMAG - Techniques de l'Ingénierie Médicale et de la Complexité - Informatique, Mathématiques et Applications, Grenoble - UMR 5525
3 CDSI - Circuits, Devices and System Integration
TIMA - Techniques de l'Informatique et de la Microélectronique pour l'Architecture des systèmes intégrés
Abstract : Multi-camera systems were recently introduced into laparoscopy to increase the narrow field of view of the surgeon. The video streams are stitched together to create a panorama that is easier for the surgeon to comprehend. Multi-camera prototypes for laparoscopy use quite basic algorithms and have only been evaluated on simple laparoscopic scenarios. The more recent state-of-the-art algorithms, mainly designed for the smartphone industry, have not yet been evaluated in laparoscopic conditions. We developed a simulated environment to generate a dataset of multi-view images displaying a wide range of laparoscopic situations, which is adaptable to any multi-camera system. We evaluated classical and state-of-the-art image stitching techniques used in non-medical applications on this dataset, including one unsupervised deep learning approach. We show that classical techniques that use global homography fail to provide a clinically satisfactory rendering and that even the most recent techniques, despite providing high quality panorama images in non-medical situations, may suffer from poor alignment or severe distortions in simulated laparoscopic scenarios. We highlight the main advantages and flaws of each algorithm within a laparoscopic context, identify the main remaining challenges that are specific to laparoscopy, and propose methods to improve these approaches. We provide public access to the simulated environment and dataset.
Liste complète des métadonnées

https://hal.univ-grenoble-alpes.fr/hal-03586852
Contributeur : Sandrine Voros Connectez-vous pour contacter le contributeur
Soumis le : jeudi 24 février 2022 - 10:55:24
Dernière modification le : vendredi 13 mai 2022 - 10:13:12
Archivage à long terme le : : mercredi 25 mai 2022 - 18:32:12

Fichier

jimaging-08-00052-v2.pdf
Fichiers éditeurs autorisés sur une archive ouverte

Identifiants

Collections

Citation

Sylvain Guy, Jean-Loup Haberbusch, Emmanuel Promayon, Stéphane Mancini, Sandrine Voros. Qualitative Comparison of Image Stitching Algorithms for Multi-Camera Systems in Laparoscopy. Journal of Imaging, MDPI, 2022, 8 (3), pp.52. ⟨10.3390/jimaging8030052⟩. ⟨hal-03586852⟩

Partager

Métriques

Consultations de la notice

47

Téléchargements de fichiers

6