Title

Visualization Of Tumor-Influenced 3D Lung Dynamics

Keywords

3D Medical Simulation; Green's Function; Organ Morphology

Abstract

A framework for real-time visualization of a tumor-influenced lung dynamics is presented in this paper. This framework potentially allows clinical technicians to visualize in 3D the morphological changes of lungs under different breathing conditions. Consequently, this technique may provide a sensitive and accurate assessment tool for preoperative and intra-operative clinical guidance. The proposed simulation method extends work previously developed for modeling and visualizing normal 3D lung dynamics. The model accounts for the changes in the regional lung functionality and the global motor response due to the presence of a tumor. For real-time deformation purposes, we use a Green's function (GF), a physically based approach that allows real-time multi-resolution modeling of the lung deformations. This function also allows an analytical estimation of the GF's deformation parameters from the 4D lung datasets at different level-of-details of the lung model. Once estimated, the subject-specific GF facilitates the simulation of tumor-influenced lung deformations subjected to any breathing condition modeled by a parametric Pressure-Volume (PV) relation.

Publication Date

6-30-2006

Publication Title

Progress in Biomedical Optics and Imaging - Proceedings of SPIE

Volume

6141

Number of Pages

-

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

DOI Link

https://doi.org/10.1117/12.654099

Socpus ID

33745365226 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/33745365226

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