User-driven 3D mesh region targeting

Peter Karasev; James Malcolm; Marc Niethammer; Ron Kikinis; Allen Tannenbaum

doi:10.1117/12.845661

23 February 2010 User-driven 3D mesh region targeting

Peter Karasev, James Malcolm, Marc Niethammer, Ron Kikinis, Allen Tannenbaum

Proceedings Volume 7625, Medical Imaging 2010: Visualization, Image-Guided Procedures, and Modeling; 762513 (2010) https://doi.org/10.1117/12.845661
Event: SPIE Medical Imaging, 2010, San Diego, California, United States

Abstract

We present a method for the fast selection of a region on a 3D mesh using geometric information. This is done using a weighted arc length minimization with a conformal factor based on the mean curvature of the 3D surface. A careful analysis of the geometric estimation process enables our geometric curve shortening to use a reliable smooth estimate of curvature and its gradient. The result is a robust way for a user to easily interact with particular regions of a 3D mesh construced from medical imaging. In this study, we focus on building a robust and semi-automatic method for extracting selected folds on the cortical surface, specifically for isolating gyri by drawing a curve along the surrounding sulci. It is desirable to make this process semi-automatic because manually drawing a curve through the complex 3D mesh is extremely tedious, while automatic methods cannot realistically be expected to select the exact closed contour a user desires for a given dataset. In the technique described here, a user places a handful of seed points surrounding the gyri of interest; an initial curve is made from these points which then evolves to capture the region. We refer to this user-driven procedure as targeting or selection interchangeably. To illustrate the applicability of these methods to other medical data, we also give an example of bone fracture CT surface parcellation.

Citation Download Citation

Peter Karasev, James Malcolm, Marc Niethammer, Ron Kikinis, and Allen Tannenbaum "User-driven 3D mesh region targeting", Proc. SPIE 7625, Medical Imaging 2010: Visualization, Image-Guided Procedures, and Modeling, 762513 (23 February 2010); https://doi.org/10.1117/12.845661

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