Fusion of MDCT-Based Endoluminal Renderings and Endoscopic Video

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

1 Citation (Scopus)

Abstract

Early lung cancer can cause structural and color changes to the airway mucosa. A three-dimensional (3D) multidetector CT bronchoscopic video enables 3D visualization, navigation, localization, and combined color-topographic analysis of the airways. This paper presents a fast method for topographic airway-mucosal surface fusion of bronchoscopic video with 3D MDCT endoluminal views. Tests were performed on phantom sequences, real bronchoscopy patient video, and associated 3D MDCT scans. Results show that we can effectively accomplish mapping over a continuous sequence of airway images spanning several generations of airways in a few seconds. Real-time navigation and visualization of the combined data was performed. The average surface-point mapping error for a phantom case was estimated to be only on the order of 2 mm for 20 mm diameter airway.

Original languageEnglish (US)
Title of host publicationMedical Imaging 2009
Subtitle of host publicationVisualization, Image-Guided Procedures, and Modeling
DOIs
StatePublished - Jun 19 2009
EventMedical Imaging 2009: Biomedical Applications in Molecular, Structural, and Functional Imaging - Lake Buena Vista, FL, United States
Duration: Feb 8 2009Feb 10 2009

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume7261
ISSN (Print)1605-7422

Other

OtherMedical Imaging 2009: Biomedical Applications in Molecular, Structural, and Functional Imaging
CountryUnited States
CityLake Buena Vista, FL
Period2/8/092/10/09

Fingerprint

navigation
Fusion reactions
Color
fusion
color
Bronchoscopy
lungs
Lung Neoplasms
Mucous Membrane
cancer
causes
Navigation
Visualization

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

Rai, L., & Higgins, W. E. (2009). Fusion of MDCT-Based Endoluminal Renderings and Endoscopic Video. In Medical Imaging 2009: Visualization, Image-Guided Procedures, and Modeling [726107] (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 7261). https://doi.org/10.1117/12.808228
Rai, Lav ; Higgins, William E. / Fusion of MDCT-Based Endoluminal Renderings and Endoscopic Video. Medical Imaging 2009: Visualization, Image-Guided Procedures, and Modeling. 2009. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE).
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Rai, L & Higgins, WE 2009, Fusion of MDCT-Based Endoluminal Renderings and Endoscopic Video. in Medical Imaging 2009: Visualization, Image-Guided Procedures, and Modeling., 726107, Progress in Biomedical Optics and Imaging - Proceedings of SPIE, vol. 7261, Medical Imaging 2009: Biomedical Applications in Molecular, Structural, and Functional Imaging, Lake Buena Vista, FL, United States, 2/8/09. https://doi.org/10.1117/12.808228

Fusion of MDCT-Based Endoluminal Renderings and Endoscopic Video. / Rai, Lav; Higgins, William E.

Medical Imaging 2009: Visualization, Image-Guided Procedures, and Modeling. 2009. 726107 (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 7261).

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

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AB - Early lung cancer can cause structural and color changes to the airway mucosa. A three-dimensional (3D) multidetector CT bronchoscopic video enables 3D visualization, navigation, localization, and combined color-topographic analysis of the airways. This paper presents a fast method for topographic airway-mucosal surface fusion of bronchoscopic video with 3D MDCT endoluminal views. Tests were performed on phantom sequences, real bronchoscopy patient video, and associated 3D MDCT scans. Results show that we can effectively accomplish mapping over a continuous sequence of airway images spanning several generations of airways in a few seconds. Real-time navigation and visualization of the combined data was performed. The average surface-point mapping error for a phantom case was estimated to be only on the order of 2 mm for 20 mm diameter airway.

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Rai L, Higgins WE. Fusion of MDCT-Based Endoluminal Renderings and Endoscopic Video. In Medical Imaging 2009: Visualization, Image-Guided Procedures, and Modeling. 2009. 726107. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE). https://doi.org/10.1117/12.808228