Fast High-Resolution Disparity Estimation for Laparoscopic Surgery

Research output: Contribution to book/conference proceedings/anthology/reportConference contributionContributedpeer-review

Contributors

Abstract

An intraoperative Image Guidance System (IGS), facilitating the localisation of pathological tissue or vasculature, could greatly support medical decisions during minimally invasive interventions. In our IGS for laparoscopic surgery, the 3D reconstruction of abdominal organs requires fast and accurate depth information from stereo images. To this end, we employ a state-of-the-art algorithm for dense disparity estimation. To cope with low processing performance, previous solutions used only downscaled images, and hence produced disparities of low quality. In this work, we present methods and implementations which improve and accelerate disparity estimation such that it runs with FullHD resolution images at full camera framerate.

Details

Original languageEnglish
Title of host publication2022 IEEE Biomedical Circuits and Systems Conference (BioCAS)
PublisherIEEE Xplore
Pages573-577
Number of pages5
ISBN (Print)978-1-6654-6918-0
Publication statusPublished - 15 Oct 2022
Peer-reviewedYes

Conference

Title2022 IEEE Biomedical Circuits and Systems Conference (BioCAS)
Duration13 - 15 October 2022
LocationTaipei, Taiwan

Keywords

Keywords

  • Pathology, Minimally invasive surgery, Three-dimensional displays, Image resolution, Circuits and systems, Estimation, Biological systems