Hendrik Ditt

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Nonlinear image registration is a prerequisite for various medical image analysis applications. Many data acquisition protocols suffer from problems due to breathing motion which has to be taken into account for further analysis. Intensity based nonlinear registration is often used to align differing images, however this requires a large computational(More)
Nonlinear image registration is a prerequisite for a variety of medical image analysis tasks. A frequently used registration method is based on manually or automatically derived point landmarks leading to a sparse displacement field which is densified in a thin-plate spline (TPS) framework. A large problem of TPS interpolation/approximation is the(More)
We present a concept to integrate constraints and triggers into an object oriented geo database kernel and propose an extension of the underlying object definition language to specify constraints and triggers. To reduce the number of constraints, we provide a mechanism to determine all objects which are subject to constraints and triggers.
PURPOSE Ischemic brain edema is subtle and hard to detect by computed tomography within the first hours of stroke onset. We hypothesize that non-enhanced CT (NECT) post-processing with frequency-selective non-linear blending ("best contrast"/BC) increases its accuracy in detecting edema and irreversible tissue damage (infarction). METHODS We(More)
INTRODUCTION The aim if this study is to find out if contrast between gray (GM) and white matter (WM) on non-enhanced brain CT (NECT) can be enhanced by using a frequency selective non-linear blending. METHODS Thirty consecutive patients (40 % female; mean age 67.73 ± 12.71 years), who underwent NECT of the brain, were retrospectively included in this(More)
When visualizing vessels with CT angiography scans, the arteries are often obstructed by bones. Traditional methods require an additional non-enhanced scan to acquire a bone mask which is then subtracted from the original CTA scan. In this study, we present an automated bone removal method using only contrast enhanced scans based on simultaneous label(More)
We propose a multi-atlas labeling method for subcortical structures and cerebral vascular territories in brain CT images. Each atlas image is registered to the query image by a non-rigid registration and the deformation is then applied to the labeling of the atlas image to obtain the labeling of the query image. Four label fusion strategies (single atlas,(More)
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