Optimal multimodal virtual bronchoscopy for convex-probe endobronchial ultrasound

William Evan Higgins, Xiaonan Zang, Ronnarit Cheirsilp, Patrick D. Byrnes, Trevor K. Kuhlengel, Jennifer Toth, Rebecca Bascom

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

1 Citation (Scopus)

Abstract

Accurate staging of the central-chest lymph nodes is a major step in the management of lung-cancer patients. For this purpose, the physician uses videobronchoscopy to navigate through the airways and convex-probe endobronchial ultrasound (CP-EBUS) to localize extraluminal lymph nodes. Unfortunately, CP-EBUS proves to be difficult for many physicians. In this paper, we present a complete optimal multimodal planning and guidance system for image-guided CP-EBUS bronchoscopy. The system accepts a patient's 3D chest CT scan and an optional whole-body PET/CT study as inputs. System work flow proceeds in two stages: 1) optimal procedure planning and 2) multimodal image-guided bronchoscopy. Optimal procedure planning entails CT-based computation of guidance routes that enable maximal feasible tissue sampling (depth-of-sample) of selected lymph nodes. Multimodal image-guided bronchoscopy next occurs in the operating room. The guidance process draws upon a CT-based virtual multimodal bronchoscope that gives virtual views of videobronchoscopy and CP-EBUS, similar to those provided by a real linear integrated CP-EBUS bronchoscope. The system provides CT/PET-based graphical views along the guidance route toward a lymph node, per the two-stage process of videobronchoscopic navigation and CP-EBUS localization. The guidance views depict the depth-of-sample information dynamically to enable visualization of optimal tissue-biopsy sites. The localization process features a novel registration be- tween the virtual CP-EBUS views and live CP-EBUS views to enable synchronization. A lung-cancer patient pilot study demonstrated the feasibility, safety, and efficacy of the system. Procedure planning effectively derived optimal tissue-biopsy sites and also indicated sites where biopsy may not be safe, within preset constraints. During live bronchoscopy, we performed successful guidance to all selected lymph nodes.

Original languageEnglish (US)
Title of host publicationMedical Imaging 2018
Subtitle of host publicationImage-Guided Procedures, Robotic Interventions, and Modeling
EditorsBaowei Fei, Robert J. Webster
PublisherSPIE
ISBN (Electronic)9781510616417
DOIs
StatePublished - Jan 1 2018
EventMedical Imaging 2018: Image-Guided Procedures, Robotic Interventions, and Modeling - Houston, United States
Duration: Feb 12 2018Feb 15 2018

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume10576
ISSN (Print)1605-7422

Other

OtherMedical Imaging 2018: Image-Guided Procedures, Robotic Interventions, and Modeling
CountryUnited States
CityHouston
Period2/12/182/15/18

Fingerprint

Bronchoscopy
Lymph Nodes
Ultrasonics
lymphatic system
probes
Bronchoscopes
planning
Biopsy
Lung Neoplasms
Planning
Thorax
physicians
chest
Physicians
Tissue
Whole Body Imaging
lungs
Workflow
Polysorbates
Operating Rooms

All Science Journal Classification (ASJC) codes

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

Cite this

Higgins, W. E., Zang, X., Cheirsilp, R., Byrnes, P. D., Kuhlengel, T. K., Toth, J., & Bascom, R. (2018). Optimal multimodal virtual bronchoscopy for convex-probe endobronchial ultrasound. In B. Fei, & R. J. Webster (Eds.), Medical Imaging 2018: Image-Guided Procedures, Robotic Interventions, and Modeling [1057618] (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 10576). SPIE. https://doi.org/10.1117/12.2292099
Higgins, William Evan ; Zang, Xiaonan ; Cheirsilp, Ronnarit ; Byrnes, Patrick D. ; Kuhlengel, Trevor K. ; Toth, Jennifer ; Bascom, Rebecca. / Optimal multimodal virtual bronchoscopy for convex-probe endobronchial ultrasound. Medical Imaging 2018: Image-Guided Procedures, Robotic Interventions, and Modeling. editor / Baowei Fei ; Robert J. Webster. SPIE, 2018. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE).
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Higgins, WE, Zang, X, Cheirsilp, R, Byrnes, PD, Kuhlengel, TK, Toth, J & Bascom, R 2018, Optimal multimodal virtual bronchoscopy for convex-probe endobronchial ultrasound. in B Fei & RJ Webster (eds), Medical Imaging 2018: Image-Guided Procedures, Robotic Interventions, and Modeling., 1057618, Progress in Biomedical Optics and Imaging - Proceedings of SPIE, vol. 10576, SPIE, Medical Imaging 2018: Image-Guided Procedures, Robotic Interventions, and Modeling, Houston, United States, 2/12/18. https://doi.org/10.1117/12.2292099

Optimal multimodal virtual bronchoscopy for convex-probe endobronchial ultrasound. / Higgins, William Evan; Zang, Xiaonan; Cheirsilp, Ronnarit; Byrnes, Patrick D.; Kuhlengel, Trevor K.; Toth, Jennifer; Bascom, Rebecca.

Medical Imaging 2018: Image-Guided Procedures, Robotic Interventions, and Modeling. ed. / Baowei Fei; Robert J. Webster. SPIE, 2018. 1057618 (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 10576).

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

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Higgins WE, Zang X, Cheirsilp R, Byrnes PD, Kuhlengel TK, Toth J et al. Optimal multimodal virtual bronchoscopy for convex-probe endobronchial ultrasound. In Fei B, Webster RJ, editors, Medical Imaging 2018: Image-Guided Procedures, Robotic Interventions, and Modeling. SPIE. 2018. 1057618. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE). https://doi.org/10.1117/12.2292099