Share Email Print

Proceedings Paper

Application of an adaptive control grid interpolation technique to MR data set augmentation aimed at morphological vascular reconstruction
Author(s): David Frakes; Christopher M. Sinotte; Christopher P. Conrad; Timothy M. Healy; Sharma Shiva; Mark A. Fogel; Joseph W. Monaco; Mark J. T. Smith; Ajit P. Yoganathan
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

The total cavopulmonary connection (TCPC) is a palliative surgical repair performed on children with a single ventricle (SV) physiology. Much of the power produced by the resultant single ventricle pump is consumed in the systemic circulation. Consequently the minimization of power loss in the TCPC is imperative for optimal surgical outcome. Toward this end we have developed a method of vascular morphology reconstruction based on adaptive control grid interpolation (ACGI) to function as a precursor to computational fluid dynamics (CFD) analysis aimed at quantifying power loss. Our technique combines positive aspects of optical flow-based and block-based motion estimation algorithms to accurately augment insufficiently dense Magnetic Resonance (MR) data sets with a minimal degree of computational complexity. The resulting enhanced data sets are used to reconstruct vascular geometries, and the subsequent reconstructions can then be used in conjunction with CFD simulations to offer th pressure and velocity information necessary to quantify power loss in the TCPC. Collectively these steps form a tool that transforms conventional MR data into more powerful information allowing surgical planning aimed at producing optimal TCPC configurations for successful surgical outcomes.

Paper Details

Date Published: 9 May 2002
PDF: 7 pages
Proc. SPIE 4684, Medical Imaging 2002: Image Processing, (9 May 2002); doi: 10.1117/12.467074
Show Author Affiliations
David Frakes, Georgia Institute of Technology (United States)
Christopher M. Sinotte, Georgia Institute of Technology (United States)
Christopher P. Conrad, Georgia Institute of Technology (United States)
Timothy M. Healy, Georgia Institute of Technology (United States)
Sharma Shiva, Egleston Children's Hospital (United States)
Mark A. Fogel, Children's Hospital of Philadelphia (United States)
Joseph W. Monaco, Georgia Institute of Technology (United States)
Mark J. T. Smith, Georgia Institute of Technology (United States)
Ajit P. Yoganathan, Georgia Institute of Technology (United States)

Published in SPIE Proceedings Vol. 4684:
Medical Imaging 2002: Image Processing
Milan Sonka; J. Michael Fitzpatrick, Editor(s)

© SPIE. Terms of Use
Back to Top