3D endobronchial ultrasound reconstruction and analysis for multimodal image-guided bronchoscopy

Xiaonan Zang, Rebecca Bascom, Christopher R. Gilbert, Jennifer Toth, William Evan Higgins

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

3 Citations (Scopus)

Abstract

State-of-the-art image-guided intervention (IGI) systems for lung-cancer management draw upon high-resolution three-dimensional multi-detector computed-tomography (MDCT) images and bronchoscopic video. An MDCT scan provides a high-resolution three-dimensional (3D) image of the chest that is used for preoperative procedure planning, while bronchoscopy gives live intraoperative video of the endobronchial airway tree structure. However, because neither source provides live extraluminal information on suspect nodules or lymph nodes, endobronchial ultrasound (EBUS) is often introduced during a procedure. Unfortunately, existing IGI systems provide no direct synergistic linkage between the MDCT/video data and EBUS data. Hence, EBUS proves difficult to use and can lead to inaccurate interpretations. To address this drawback, we present a prototype of a multimodal IGI system that brings together the various image sources. The system enables 3D reconstruction and visualization of structures depicted in the 2D EBUS video stream. It also provides a set of graphical tools that link the EBUS data directly to the 3D MDCT and bronchoscopic video. Results using phantom and human data indicate that the new system could potentially enable smooth natural incorporation of EBUS into the system-level work flow of bronchoscopy.

Original languageEnglish (US)
Title of host publicationMedical Imaging 2014: Ultrasonic Imaging and Tomography
PublisherSPIE
Volume9040
ISBN (Print)9780819498335
DOIs
StatePublished - 2014
EventMedical Imaging 2014: Ultrasonic Imaging and Tomography - San Diego, CA, United States
Duration: Feb 18 2014Feb 20 2014

Other

OtherMedical Imaging 2014: Ultrasonic Imaging and Tomography
CountryUnited States
CitySan Diego, CA
Period2/18/142/20/14

Fingerprint

Multidetector computed tomography
Bronchoscopy
Ultrasonics
Tomography
tomography
detectors
Preoperative Care
Three-Dimensional Imaging
Workflow
video data
Lung Neoplasms
Thorax
lymphatic system
Lymph Nodes
chest
nodules
high resolution
linkages
lungs
planning

All Science Journal Classification (ASJC) codes

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

Cite this

Zang, X., Bascom, R., Gilbert, C. R., Toth, J., & Higgins, W. E. (2014). 3D endobronchial ultrasound reconstruction and analysis for multimodal image-guided bronchoscopy. In Medical Imaging 2014: Ultrasonic Imaging and Tomography (Vol. 9040). [90400X] SPIE. https://doi.org/10.1117/12.2036115
Zang, Xiaonan ; Bascom, Rebecca ; Gilbert, Christopher R. ; Toth, Jennifer ; Higgins, William Evan. / 3D endobronchial ultrasound reconstruction and analysis for multimodal image-guided bronchoscopy. Medical Imaging 2014: Ultrasonic Imaging and Tomography. Vol. 9040 SPIE, 2014.
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Zang, X, Bascom, R, Gilbert, CR, Toth, J & Higgins, WE 2014, 3D endobronchial ultrasound reconstruction and analysis for multimodal image-guided bronchoscopy. in Medical Imaging 2014: Ultrasonic Imaging and Tomography. vol. 9040, 90400X, SPIE, Medical Imaging 2014: Ultrasonic Imaging and Tomography, San Diego, CA, United States, 2/18/14. https://doi.org/10.1117/12.2036115

3D endobronchial ultrasound reconstruction and analysis for multimodal image-guided bronchoscopy. / Zang, Xiaonan; Bascom, Rebecca; Gilbert, Christopher R.; Toth, Jennifer; Higgins, William Evan.

Medical Imaging 2014: Ultrasonic Imaging and Tomography. Vol. 9040 SPIE, 2014. 90400X.

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

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Zang X, Bascom R, Gilbert CR, Toth J, Higgins WE. 3D endobronchial ultrasound reconstruction and analysis for multimodal image-guided bronchoscopy. In Medical Imaging 2014: Ultrasonic Imaging and Tomography. Vol. 9040. SPIE. 2014. 90400X https://doi.org/10.1117/12.2036115