Dr. Sven Prevrhal Profile

Dr. Sven Prevrhal

Staff Scientist

SPIE Involvement:

Author | Science Fair Judge

Publications (10)

SPIE Journal Paper | 25 May 2022 Open Access

Investigation on the mechanical interface stability of curved high aspect ratio x-ray gratings made by deep x-ray lithography

Michael Richter, Thomas Beckenbach, Heiner Daerr, Sven Prevrhal, Martin Börner, Josephine Gutekunst, Pouria Zangi, Arndt Last, Jan Korvink, Pascal Meyer

JM3, Vol. 21, Issue 02, 024901, (May 2022) https://doi.org/10.1117/12.10.1117/1.JMM.21.2.024901

KEYWORDS: X-rays, Interfaces, Semiconducting wafers, X-ray lithography, X-ray imaging, X-ray detectors, Metals, Manufacturing, X-ray sources, Silicon

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Proceedings Article | 21 March 2016 Paper

Automatic coronary lumen segmentation with partial volume modeling improves lesions' hemodynamic significance assessment

M. Freiman, Y. Lamash, G. Gilboa, H. Nickisch, S. Prevrhal, H. Schmitt, M. Vembar, L. Goshen

Proceedings Volume 9784, 978403 (2016) https://doi.org/10.1117/12.2209476

KEYWORDS: Hemodynamics, Image segmentation, Arteries, Computer simulations, Image analysis, Angiography, 3D modeling, Solid modeling, Computed tomography, Computer aided design, Binary data, Computer aided diagnosis and therapy, Data modeling

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Proceedings Article | 18 March 2015 Paper

Fat-constrained 18F-FDG PET reconstruction using Dixon MR imaging and the origin ensemble algorithm

Christian Wülker, Susanne Heinzer, Peter Börnert, Steffen Renisch, Sven Prevrhal

Proceedings Volume 9412, 941208 (2015) https://doi.org/10.1117/12.2081161

KEYWORDS: Positron emission tomography, Reconstruction algorithms, Magnetic resonance imaging, Optical spheres, Image quality, Tissues, Signal to noise ratio, Expectation maximization algorithms, Image quality standards, Lung

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Proceedings Article | 18 March 2008 Paper

Measurement of small lesions near metallic implants with mega-voltage cone beam CT

Violeta Grigorescu, Sven Prevrhal, Jean Pouliot

Proceedings Volume 6913, 69131N (2008) https://doi.org/10.1117/12.773210

KEYWORDS: Metals, Bone, X-ray computed tomography, Calibration, Surgery, Radiotherapy, Visualization, Tissues, Photons, Diagnostics

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Proceedings Article | 16 March 2007 Paper

FFT and cone-beam CT reconstruction on graphics hardware

Philippe Després, Mingshan Sun, Bruce Hasegawa, Sven Prevrhal

Proceedings Volume 6510, 65105N (2007) https://doi.org/10.1117/12.709994

KEYWORDS: Reconstruction algorithms, Tomography, Image processing, Medical imaging, Visualization, Fourier transforms, Computer programming, Field programmable gate arrays, Surgery, Transform theory

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Proceedings Article | 7 September 2006 Paper

Simulation of trabecular mineralization measurements in micro-CT

Sven Prevrhal

Proceedings Volume 6318, 631808 (2006) https://doi.org/10.1117/12.681939

KEYWORDS: Bone, Signal attenuation, Tissues, Glasses, Sensors, X-rays, Calibration, Spatial resolution, Image segmentation, CT reconstruction

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Proceedings Article | 17 September 2005 Paper

Quantitative micro-CT

Sven Prevrhal

Proceedings Volume 5923, 59230K (2005) https://doi.org/10.1117/12.625919

KEYWORDS: Bone, Signal attenuation, Glasses, X-rays, Sensors, Tissues, Computed tomography, In vivo imaging, Reconstruction algorithms, Image segmentation

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Proceedings Article | 26 October 2004 Paper

Beam hardening correction and quantitative micro-CT

Sven Prevrhal

Proceedings Volume 5535, (2004) https://doi.org/10.1117/12.559976

KEYWORDS: Bone, Signal attenuation, X-rays, Sensors, CT reconstruction, Computed tomography, Image segmentation, Tissues, Absorption, Error analysis

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Proceedings Article | 6 June 2000 Paper

Three-dimensional assessment of bone turnover using computed microtomography and laser-scanning confocal microscopy

Sven Prevrhal, Yebin Jiang, Jenny Zhao, Harry Genant

Proceedings Volume 3979, (2000) https://doi.org/10.1117/12.387650

KEYWORDS: Bone, 3D image processing, Image processing, Confocal microscopy, Tissues, Microscopy, 3D metrology, Spatial resolution, Laser scanners, Luminescence

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Proceedings Article | 24 October 1997 Paper

Three-dimensional analysis of trabecular bone structure: the need for spongiosa standard models

Klaus Engelke, Georg Umgiessler, Sven Prevrhal, Willi Kalender

Proceedings Volume 3149, (1997) https://doi.org/10.1117/12.279363

KEYWORDS: Bone, Data modeling, Spatial resolution, Computed tomography, 3D modeling, In vivo imaging, Printed circuit board testing, X-ray computed tomography, Structural analysis, Stereolithography

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Thin slice spiral computed tomography techniques open up new avenues in assessing human bone architecture in vivo. A slice images do not yield accurate and reproducible results for structural parameters. The use of standard 2D histomorphometric measures is problematic because even a slice thickness of 1 mm is large compared to a trabecular thickness of less than 200 micrometers . In this study we investigated the use of topological parameters an in particular their dependence on spatial resolution. The topology was derived from a 3D skeleton of a (mu) CT dataset of a real trabecular bovine bone sample. The 3D thinning algorithm from which the skeleton was computed will be descried in detail. Decreasing the spatial resolution of the (mu) CT resulted in the following percent changes: number of branches -46 percent; number of noes -50 percent; avg. branch length +28 percent. These results indicate that it is not possible to determine topological parameters accurately in thin slice CT images. However, diagnostically relevant changes over time may still be quantifiable. In order to better analyze these problems we developed realistic spongiosa models using the rapid prototyping technique of stereolithography. Plastic models of a real trabecular bone network were built. So far these spongiosa models are slightly enlarged compared to the original data. Stereolithographic models of artificial geometries showed that a spatial resolution of 100micrometers and variations of +/- 50 micrometers are technically achievable. (mu) CT imaging of the stereolithographic spongiosa models revealed an excellent agreement between the model and the original dataset. Although the absorption characteristics of plastic and bone are different the CT contrast of the stereolithographic model imaged in air is comparable to the contrast of bone imaged in a marrow matrix. Thus for clinical purposes the plastic models can serve as a standard of trabecular bone which can, for example, be used to compare 2D and 3D structural analysis methods, the impact of spatial resolution, and the influence of segmentation techniques.

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