Optical biopsy mapping on endoscopic image mosaics with a marker-free probe.

Autor: Zenteno O; Laboratoire PRISME, Université d'Orléans, Orléans, France., Trinh DH; CRAN, UMR 7039 CNRS and Université de Lorraine, Vandœuvre-lès-Nancy, France., Treuillet S; Laboratoire PRISME, Université d'Orléans, Orléans, France., Lucas Y; Laboratoire PRISME, Université d'Orléans, Orléans, France., Bazin T; Service d'Hépato-gastroentérologie et oncologie digestive, Hôpital Ambroise Paré, Boulogne-Billancourt, France., Lamarque D; Service d'Hépato-gastroentérologie et oncologie digestive, Hôpital Ambroise Paré, Boulogne-Billancourt, France., Daul C; CRAN, UMR 7039 CNRS and Université de Lorraine, Vandœuvre-lès-Nancy, France. Electronic address: christian.daul@univ-lorraine.fr.
Jazyk: angličtina
Zdroj: Computers in biology and medicine [Comput Biol Med] 2022 Apr; Vol. 143, pp. 105234. Date of Electronic Publication: 2022 Jan 15.
DOI: 10.1016/j.compbiomed.2022.105234
Abstrakt: Gastric cancer is the second leading cause of cancer-related deaths worldwide. Early diagnosis significantly increases the chances of survival; therefore, improved assisted exploration and screening techniques are necessary. Previously, we made use of an augmented multi-spectral endoscope by inserting an optical probe into the instrumentation channel. However, the limited field of view and the lack of markings left by optical biopsies on the tissue complicate the navigation and revisit of the suspect areas probed in-vivo. In this contribution two innovative tools are introduced to significantly increase the traceability and monitoring of patients in clinical practice: (i) video mosaicing to build a more comprehensive and panoramic view of large gastric areas; (ii) optical biopsy targeting and registration with the endoscopic images. The proposed optical flow-based mosaicing technique selects images that minimize texture discontinuities and is robust despite the lack of texture and illumination variations. The optical biopsy targeting is based on automatic tracking of a free-marker probe in the endoscopic view using deep learning to dynamically estimate its pose during exploration. The accuracy of pose estimation is sufficient to ensure a precise overlapping of the standard white-light color image and the hyperspectral probe image, assuming that the small target area of the organ is almost flat. This allows the mapping of all spatio-temporally tracked biopsy sites onto the panoramic mosaic. Experimental validations are carried out from videos acquired on patients in hospital. The proposed technique is purely software-based and therefore easily integrable into clinical practice. It is also generic and compatible to any imaging modality that connects to a fiberscope.
(Copyright © 2022 Elsevier Ltd. All rights reserved.)
Databáze: MEDLINE
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