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Robust Scattered Data Points Approximation Using Finite Element Biomechanical Model
Published in The Insight Journal
Published in The Insight Journal
Many enabling technologies like non-rigid registration in medical image computing rely on the construction of a function by interpolating scattered points; however, the outliers contained in the data and the approximation error make the robust and accurate [...]

The Use of Robust Local Hausdorff Distances in Accuracy Assessment for Image Alignment of Brain MRI
Published in The Insight Journal
Published in The Insight Journal
We present and implement an error estimation protocol in the Insight Toolkit (ITK) for assessing the
accuracy of image alignment. We base this error estimation on a robust version of the HausdorffDistance
(HD) metric applied to the recovered edges of the [...]

We describe the open source implementation of an adaptive tetrahedral mesh generator particularly targeted for non-rigid FEM registration of MR images. While many medical imaging applications require robust mesh generation, there are few codes available. [...]

The computation speed for distance transforms becomes important in a wide variety of image processing applications. Current ITK library filters do not see any benefit from a multithreading environment. We introduce a three-dimensional signed parallel [...]

An ITK Implementation of Physics-based Non-rigid Registration Method
Published in The Insight Journal
Published in The Insight Journal
As part of the ITK v4 project efforts, we have developed ITK filters for physics-based non-rigid registration (PBNRR), which satisfies the following requirements: account for tissue properties in the registration, improve accuracy compared to rigid [...]
