Dr. Lothar Spies Profile

Dr. Lothar Spies

Managing Director at jung diagnostics GmbH

SPIE Involvement:

Author

Publications (7)

Proceedings Article | 15 February 2021 Poster + Presentation + Paper

A system for fully automated monitoring of lesion evolution over time in multiple sclerosis

Sven Kuckertz, Florian Weiler, Britta Matusche, Carsten Lukas, Lothar Spies, Jan Klein, Stefan Heldmann

Proceedings Volume 11597, 115972D (2021) https://doi.org/10.1117/12.2582156

KEYWORDS: Visualization, Visual process modeling, Visual analytics, Image segmentation, Image registration, Computing systems, Brain

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Proceedings Article | 2 March 2006 Paper

Impact of CT detector pixel-to-pixel crosstalk on image quality

Klaus Engel, Lothar Spies, Gereon Vogtmeier, Randy Luhta

Proceedings Volume 6142, 61422F (2006) https://doi.org/10.1117/12.654499

KEYWORDS: Modulation transfer functions, Sensors, X-ray computed tomography, X-rays, Point spread functions, X-ray detectors, Signal detection, Signal to noise ratio, Image quality, Visibility

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Proceedings Article | 29 April 2005 Paper

A radial adaptive filter for metal artifact reduction

Matthieu Bal, Hasan Celik, Krishna Subramanyan, Kai Eck, Lothar Spies

Proceedings Volume 5747, (2005) https://doi.org/10.1117/12.593095

KEYWORDS: Metals, Digital filtering, Image filtering, Image fusion, Gaussian filters, Computed tomography, Spatial resolution, Neuroimaging, Brain, Tissues

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Proceedings Article | 20 April 2005 Paper

The effect of temporal lag in back illuminated photodiodes on CT image quality

Lothar Spies, Randy Luhta

Proceedings Volume 5745, (2005) https://doi.org/10.1117/12.595077

KEYWORDS: Sensors, Photodiodes, Scanners, Back illuminated sensors, Computed tomography, Diodes, Signal detection, Aluminum, Photons, Bone

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Proceedings Article | 12 May 2004 Paper

Segmentation-aided adaptive filtering for metal artifact reduction in radio-therapeutic CT images

Celine Saint Olive, Michael Kaus, Vladimir Pekar, Kai Eck, Lothar Spies

Proceedings Volume 5370, (2004) https://doi.org/10.1117/12.535346

KEYWORDS: Metals, Digital filtering, Computed tomography, Tissues, Image segmentation, Modulation transfer functions, Signal to noise ratio, Image filtering, Data modeling, Bone

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