Robert Lapp
University of Erlangen-Nuremberg
19 Papers
118 Citations
Robert Lapp is an academic researcher from University of Erlangen-Nuremberg. The author has contributed to research in topics: Iterative reconstruction & Image noise. The author has an hindex of 9, co-authored 19 publications.
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Papers
Simultaneous misalignment correction for approximate circular cone-beam computed tomography
TL;DR: A real-time iterative restoration of reconstruction geometry by means of entropy minimization that provides accurate geometry restoration for approximately circular scans and eliminates the need for an elaborate off-line calibration for each scan.
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Low-dose cardio-respiratory phase-correlated cone-beam micro-CT of small animals.
Stefan Sawall,Frank Bergner,Robert Lapp,Markus Mronz,Marek Karolczak,Andreas Hess,Marc Kachelrieß +6 more
TL;DR: The authors developed a variant of the McKinnon-Bates image reconstruction algorithm and combined it with bilateral filtering in up to five dimensions to significantly reduce image noise without impairing spatial or temporal resolution and achieves a more than tenfold dose usage improvement.
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3D/4D Cardiac Segmentation Using Active Appearance Models, Non-rigid Registration, and the Insight Toolkit
Robert Lapp,M. Lorenzo-Valdes,Daniel Rueckert +2 more
- 26 Sep 2004
TL;DR: It is concluded that the combination of a non-rigid registration step with the statistical analysis concepts of the AAM is both feasible and useful and allows for its application to 3D and 4D data.
Assessment of spatial resolution in CT
Rainer Grimmer,Jens Krause,Marek Karolczak,Robert Lapp,Marc Kachelriess +4 more
- 01 Oct 2008
TL;DR: A technique which requires only one, easy to handle, measurement of a sphere to calculate radial and longitudinal PSF and therefrom obtain the corresponding MTFs is proposed, which appears superior to existing methods.
26
Respiratory phase-correlated micro-CT imaging of free-breathing rodents.
TL;DR: The dedicated retrospective phase-correlated image reconstruction procedure for respiratory gating is a feasible approach for motion-free imaging and a subject-specific optimal reconstruction phase can minimize motion blurring and further improve image quality.
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