Literature DB >> 26625405

Interoperative Biopsy Site Relocalization in Endoluminal Surgery.

Anant Suraj Vemuri, Stephane Nicolau, Adrien Sportes, Jacques Marescaux, Luc Soler, Nicholas Ayache.   

Abstract

Barrett's oesophagus, a premalignant condition of the oesophagus has been on a rise in the recent years. The standard diagnostic protocol for Barrett's involves obtaining biopsies at suspicious regions along the oesophagus. The localization and tracking of these biopsy sites "interoperatively" poses a significant challenge for providing targeted treatments and tracking disease progression. This paper proposes an approach to provide guided navigation and relocalization of the biopsy sites using an electromagnetic tracking system. The characteristic of our approach over existing ones is the integration of an electromagnetic sensor at the flexible endoscope tip, so that the endoscopic camera depth inside the oesophagus can be computed in real time, allowing to retrieve and display an image from a previous exploration at the same depth. We first describe our system setup and methodology for interoperative registration. We then propose three incremental experiments of our approach. First, on synthetic data with realistic noise model to analyze the error bounds of our system. The second on in vivo pig data using an optical tracking system to provide a pseudo ground truth. Accuracy results obtained were consistent with the synthetic experiments despite uncertainty introduced due to breathing motion, and remain inside acceptable error margin according to medical experts. Finally, a third experiment designed using data from pigs to simulate a real task of biopsy site relocalization, and evaluated by ten gastro-intestinal experts. It clearly demonstrated the benefit of our system toward assisted guidance by improving the biopsy site retrieval rate from 47.5% to 94%.

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Year:  2015        PMID: 26625405     DOI: 10.1109/TBME.2015.2503981

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  1 in total

1.  An image retrieval framework for real-time endoscopic image retargeting.

Authors:  Menglong Ye; Edward Johns; Benjamin Walter; Alexander Meining; Guang-Zhong Yang
Journal:  Int J Comput Assist Radiol Surg       Date:  2017-06-02       Impact factor: 2.924

  1 in total

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