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Method for Reducing CT-to-Body Divergence Tailored to Peripheral Bronchoscopy

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Guided bronchoscopy systems, be they image-guided or robotics-assisted, are revolutionizing the field of bronchoscopy, particularly for tasks in peripheral lung regions. To provide guidance, these systems draw on a procedure plan derived from a patient's 3D chest computed tomography (CT) scan. Generally, a procedure plan gives an airway route leading from the trachea to a distal airway close to a diagnostic region of interest (ROI). Unfortunately, the “virtual” chest space, captured by the CT scan used for planning, differs significantly from the “real” chest space encountered during the live procedure. This so-called CT-to-body divergence (CTBD) can produce large guidance errors during a live bronchoscopy, resulting in procedure failure rates on the order of 30%. CTBD arises because the procedure plan relies on a CT scan depicting the chest near total lung capacity (TLC), while the live procedure occurs with the chest near functional residual capacity (FRC), a much lower lung volume. These differences in lung volume lead to mismatches between the guidance system's perceived 3D chest position and bronchoscope's actual chest position. To address this gap, we propose a two-phase method to help mitigate the impact of CTBD on guided bronchoscopy procedures by utilizing spatial information from CT scans obtained at two different lung states. The first phase entails a dual-space procedure planning method that gives two point-by-point synchronized procedure plans: one in TLC space and the other in FRC space. The second phase involves a dual-space guidance procedure, whereby synchronized information in both TLC and FRC spaces are made available during the guided procedure. Results from TLC/FRC CT scan pairs collected for lung cancer patients verify the potential of the method.

Original languageEnglish (US)
Title of host publicationMedical Imaging 2025
Subtitle of host publicationImage-Guided Procedures, Robotic Interventions, and Modeling
EditorsMaryam E. Rettmann, Jeffrey H. Siewerdsen
PublisherSPIE
ISBN (Electronic)9781510685949
DOIs
StatePublished - 2025
EventMedical Imaging 2025: Image-Guided Procedures, Robotic Interventions, and Modeling - San Diego, United States
Duration: Feb 17 2025Feb 20 2025

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume13408
ISSN (Print)1605-7422

Conference

ConferenceMedical Imaging 2025: Image-Guided Procedures, Robotic Interventions, and Modeling
Country/TerritoryUnited States
CitySan Diego
Period2/17/252/20/25

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Atomic and Molecular Physics, and Optics
  • Biomaterials
  • Radiology Nuclear Medicine and imaging

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