Recovering Shape from Boundaries Sheng Xu 3/2/01.

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Presentation transcript:

Recovering Shape from Boundaries Sheng Xu 3/2/01

Contrast enhanced fluoroscopic angiography An applicable imaging modality in minimally invasive interventional treatment of vascularly hyperactive targets.

Why not CT or NMR in arteriovenous malformation (AVM) 1.Ambiguous 2.Suitable only for the spatial localization, but not for its exact delimitation 3.Subject to “partial volume artifacts”

Structural Postulates No bifurcations The borders from 2 projections must belong to one object A preferential axis Could be broken down

Reconstruction of the model 1.Contour detection in the projection images 2.Construction of a 3D model 3.Calculation of the volume

Contour Detection Review

Contour Detection (cont.) X-ZY-ZZ

Contour Detection (cont.) Interpolation Top

Construction of 3D Model ……………… Algorithm: Marching Cubes

Volume Calculation Each section is divided into triangles Summation of all volumes

Result

Conclusion Provides the basis for further and more detailed research Not able to rebuild each and every possible object Good for object with simple shape

My Project Projections from more angles No physical object, silhouettes are drawn manually Using Different algorithm to rebuild more complicated shape

My Project Projections from more angles No physical object, silhouettes are drawn manually Using Different algorithm to rebuild more complicated shape