Virtual interventions for image-based blood flow computation

Authors:
Guanglei Xiong;Gilwoo Choi;Charles A. Taylor
Affiliations:
Biomedical Informatics Program, Stanford University, Stanford, CA 94305, USA;Department of Mechanical Engineering, Stanford University, Stanford, CA 94305, USA;Departments of Bioengineering and Surgery, Stanford University, Stanford, CA 94305, USA
Venue:
Computer-Aided Design
Year:
2012

Citing 11
Cited 0

Marching cubes: A high resolution 3D surface construction algorithm

SIGGRAPH '87 Proceedings of the 14th annual conference on Computer graphics and interactive techniques
Geodesic Active Contours

International Journal of Computer Vision
Towards exact geometric computation

Computational Geometry: Theory and Applications - Special issue: computational geometry, theory and applications
Surface simplification using quadric error metrics

Proceedings of the 24th annual conference on Computer graphics and interactive techniques
Implicit fairing of irregular meshes using diffusion and curvature flow

Proceedings of the 26th annual conference on Computer graphics and interactive techniques
√3-subdivision

Proceedings of the 27th annual conference on Computer graphics and interactive techniques
A New Conjugate Gradient Method with Guaranteed Descent and an Efficient Line Search

SIAM Journal on Optimization
Provably good sampling and meshing of surfaces

Graphical Models - Solid modeling theory and applications
Boolean operations on 3D selective Nef complexes: Data structure, algorithms, optimized implementation and experiments

Computational Geometry: Theory and Applications
On stent-graft models in thoracic aortic endovascular repair: A computational investigation of the hemodynamic factors

Computers in Biology and Medicine
Three-dimensional shape reconstruction of abdominal aortic aneurysm

Computer-Aided Design

Quantified Score

Hi-index	0.01

Visualization

Abstract

Image-based blood flow computation provides great promise for the evaluation of vascular devices and assessment of surgical procedures. However, many previous studies employ idealized arterial and device models or only patient-specific models from the image data after device deployment, since the tools for model construction are unavailable or limited and tedious to use. Moreover, in contrast to retrospective studies from existing data, there is a pressing need for prospective analysis with the goal of surgical planning. Therefore, it is necessary to construct models with deployed devices in a fast, virtual and interactive fashion. The goal of this paper is to develop new geometric methods to deploy stents or stent grafts virtually to patient-specific geometric models constructed from a 3D segmentation of medical images. A triangular surface representing the vessel lumen boundary is extracted from the segmentation. The diseased portion is either clipped and replaced by the surface of a deployed device or rerouted in the case of a bypass graft. For diseased arteries close to bifurcations, bifurcated device models are generated. A method to map a 2D strut pattern on the surface of a device is also presented. We demonstrate three applications of our methods in personalized surgical planning for aortic aneurysms, aortic coarctation, and coronary artery stenosis using blood flow computation. Our approach enables prospective model construction and may help to expand the throughput required by routine clinical uses in the future.