Multimodal Registration for Image-Guided EBUS Bronchoscopy.

J Imaging

School of Electrical Engineering and Computer Science, Penn State University, State College, PA 16802, USA.

Published: July 2022

AI Article Synopsis

  • The latest technique for examining lymph nodes in lung cancer patients uses an endobronchial ultrasound (EBUS) bronchoscope that combines videobronchoscopy with convex-probe EBUS for better imaging of airways and surrounding structures.
  • The process involves navigating the airways with videobronchoscopy before using EBUS to locate lymph nodes, which can be challenging due to their position outside the airways.
  • A new method is proposed that aligns a patient's chest CT scan with live EBUS views, achieving 100% accuracy in registering lymph nodes and significantly improving the guidance of EBUS bronchoscopy.

Article Abstract

The state-of-the-art procedure for examining the lymph nodes in a lung cancer patient involves using an endobronchial ultrasound (EBUS) bronchoscope. The EBUS bronchoscope integrates two modalities into one device: (1) videobronchoscopy, which gives video images of the airway walls; and (2) convex-probe EBUS, which gives 2D fan-shaped views of extraluminal structures situated outside the airways. During the procedure, the physician first employs videobronchoscopy to navigate the device through the airways. Next, upon reaching a given node's approximate vicinity, the physician probes the airway walls using EBUS to localize the node. Due to the fact that lymph nodes lie beyond the airways, EBUS is essential for confirming a node's location. Unfortunately, it is well-documented that EBUS is difficult to use. In addition, while new image-guided bronchoscopy systems provide effective guidance for videobronchoscopic navigation, they offer no assistance for guiding EBUS localization. We propose a method for registering a patient's chest CT scan to live surgical EBUS views, thereby facilitating accurate image-guided EBUS bronchoscopy. The method entails an optimization process that registers CT-based virtual EBUS views to live EBUS probe views. Results using lung cancer patient data show that the method correctly registered 28/28 (100%) lymph nodes scanned by EBUS, with a mean registration time of 3.4 s. In addition, the mean position and direction errors of registered sites were 2.2 mm and 11.8∘, respectively. In addition, sensitivity studies show the method's robustness to parameter variations. Lastly, we demonstrate the method's use in an image-guided system designed for guiding both phases of EBUS bronchoscopy.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9320860PMC
http://dx.doi.org/10.3390/jimaging8070189DOI Listing

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