8 Result(s)
within
Conference Paper
Sven Kabus
Image Processing and Computer Vision
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Chapter and Conference Paper
Handling Non-Corresponding Regions in Image Registration
Image registration is particularly challenging if the images to be aligned contain non-corresponding regions. Using state-of-the-art algorithms typically leads to unwanted and unrealistic deformations in these...
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Chapter and Conference Paper
Functional Non-rigid Registration Validation: A CT Phantom Study
Validation of respiratory motion estimation is indispensable for a variety of clinical applications. For CT lung registration, current approaches employ manually defined landmark sets or contours and compute a...
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Chapter and Conference Paper
Image Registration Using Tensor Grids for Lung Ventilation Studies
In non-parametric image registration it is often not possible to work with the original resolution of the images due to high processing times and lack of memory. However, for some medical applications the info...
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Chapter and Conference Paper
Evaluation of 4D-CT Lung Registration
Non-rigid registration accuracy assessment is typically performed by evaluating the target registration error at manually placed landmarks. For 4D-CT lung data, we compare two sets of landmark distributions: a...
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Chapter and Conference Paper
Variational Image Registration Allowing for Discontinuities in the Displacement Field
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Chapter and Conference Paper
Variational Image Registration with Local Properties
In this paper we are concerned with elastic medical image registration. By spatially varying parameters, a displacement field can be reached which is adapted to local material properties. In addition, it enabl...
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Chapter and Conference Paper
On Elastic Image Registration with Varying Material Parameters
In this paper we are concerned with elastic image registration. Usually elastic approaches assume constant material parameters and result in a smooth displacement field. This approach has its shortcomings for ...
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Chapter and Conference Paper
Estimation of Organ Motion from 4D CT for 4D Radiation Therapy Planning of Lung Cancer
The goal of this paper is to automatically estimate the motion of the tumor and the internal organs from 4D CT and to extract the organ surfaces. Motion induced by breathing and heart beating is an important u...
