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
Volume7261
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

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

  • Atomic and Molecular Physics, and Optics
  • Electronic, Optical and Magnetic Materials
  • Biomaterials
  • 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 (Vol. 7261). [726107] https://doi.org/10.1117/12.808228
Rai, Lav ; Higgins, William Evan. / Fusion of MDCT-Based Endoluminal Renderings and Endoscopic Video. Medical Imaging 2009: Visualization, Image-Guided Procedures, and Modeling. Vol. 7261 2009.
@inproceedings{e20ee5bfa318479294f27957c75c18aa,
title = "Fusion of MDCT-Based Endoluminal Renderings and Endoscopic Video",
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.",
author = "Lav Rai and Higgins, {William Evan}",
year = "2009",
month = "6",
day = "19",
doi = "10.1117/12.808228",
language = "English (US)",
isbn = "9780819475121",
volume = "7261",
booktitle = "Medical Imaging 2009",

}

Rai, L & Higgins, WE 2009, Fusion of MDCT-Based Endoluminal Renderings and Endoscopic Video. in Medical Imaging 2009: Visualization, Image-Guided Procedures, and Modeling. vol. 7261, 726107, 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 Evan.

Medical Imaging 2009: Visualization, Image-Guided Procedures, and Modeling. Vol. 7261 2009. 726107.

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

TY - GEN

T1 - Fusion of MDCT-Based Endoluminal Renderings and Endoscopic Video

AU - Rai, Lav

AU - Higgins, William Evan

PY - 2009/6/19

Y1 - 2009/6/19

N2 - 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.

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.

UR - http://www.scopus.com/inward/record.url?scp=67149084844&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=67149084844&partnerID=8YFLogxK

U2 - 10.1117/12.808228

DO - 10.1117/12.808228

M3 - Conference contribution

SN - 9780819475121

VL - 7261

BT - Medical Imaging 2009

ER -

Rai L, Higgins WE. Fusion of MDCT-Based Endoluminal Renderings and Endoscopic Video. In Medical Imaging 2009: Visualization, Image-Guided Procedures, and Modeling. Vol. 7261. 2009. 726107 https://doi.org/10.1117/12.808228