Mr. Christoph P. Vetter Profile

Christoph P. Vetter

at Siemens Corporate Research

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Author

Publications (4)

Proceedings Article | 23 February 2012 Paper

Incorporating the whole-mount prostate histology reconstruction program Histostitcher into the extensible imaging platform (XIP) framework

Robert Toth, Jonathan Chappelow, Christoph Vetter, Oliver Kutter, Christoph Russ, Michael Feldman, John Tomaszewski, Natalie Shih, Anant Madabhushi

Proceedings Volume 8315, 83151K (2012) https://doi.org/10.1117/12.912938

KEYWORDS: Visualization, Magnetic resonance imaging, Human-machine interfaces, In vivo imaging, MATLAB, Prostate, Reconstruction algorithms, Computer aided diagnosis and therapy, Prostate cancer, Medical imaging

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There is a need for identifying quantitative imaging (e.g. MRI) signatures for prostate cancer (CaP), so that computer-aided diagnostic methods can be trained to detect disease extent in vivo. Determining CaP extent on in vivo MRI is difficult to do; however, with the availability of ex vivo surgical whole mount histological sections (WMHS) for CaP patients undergoing radical prostatectomy, co-registration methods can be applied to align and map disease extent onto pre-operative MR imaging from the post-operative histology. Yet obtaining digitized images of WHMS for co-registration with the pre-operative MRI is cumbersome since (a) most digital slide scanners are unable to accommodate the entire section, and (b) significant technical expertise is required for whole mount slide preparation. Consequently, most centers opt to construct quartered sections of each histology slice. Prior to co-registration with MRI, however, these quartered sections need to be digitally stitched together to reconstitute a digital, pseudo WMHS. Histostitcher© is an interactive software program that uses semi-automatic registration tools to digitally stitch quartered sections into pseudo WMHS. Histostitcher© was originally developed using the GUI tools provided by the Matlab programming interface, but the clinical use was limited due to the inefficiency of the interface. The limitations of the Matlab based GUI include (a) an inability to edit the fiducials, (b) the rendering being extremely slow, and (c) lack of interactive and rapid visualization tools. In this work, Histostitcher© has been integrated into the eXtensible Imaging Platform (XIP ^TM ) framework (a set of libraries containing functionalities for analyzing and visualizing medical image data). XIP ^TM lends the stitching tool much greater flexibility and functionality by (a) allowing interactive and seamless navigation through the full resolution histology images, (b) the ability to easily add, edit, or remove fiducials and annotations in order to register the quadrants and map the disease extent. In this work, we showcase examples of digital stitching of quartered histological sections into pseudo-WHMS using Histostitcher © via the new XIP ^TM interface. This tool will be particularly useful in clinical trials and large cohort studies where a quick, interactive way of digitally reconstructing pseudo WMHS is required.

Proceedings Article | 18 March 2008 Paper

SPECT reconstruction on the GPU

Christoph Vetter, Rüdiger Westermann

Proceedings Volume 6913, 69132R (2008) https://doi.org/10.1117/12.770725

KEYWORDS: Signal attenuation, Visualization, Reconstruction algorithms, Expectation maximization algorithms, Single photon emission computed tomography, Point spread functions, Computer programming, 3D modeling, Convolution, Graphics processing units

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Proceedings Article | 11 March 2008 Paper

Optimized GPU implementation of learning-based non-rigid multi-modal registration

Zhe Fan, Christoph Vetter, Christoph Guetter, Daphne Yu, Rüdiger Westermann, Arie Kaufman, Chenyang Xu

Proceedings Volume 6914, 69142Y (2008) https://doi.org/10.1117/12.770735

KEYWORDS: Image registration, Computer programming, Gaussian filters, Optimization (mathematics), Visualization, OpenGL, Algorithm development, Image resolution, Medical imaging applications, Medical imaging

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Proceedings Article | 8 March 2007 Paper

Non-rigid multi-modal registration on the GPU

Christoph Vetter, Christoph Guetter, Chenyang Xu, Rüdiger Westermann

Proceedings Volume 6512, 651228 (2007) https://doi.org/10.1117/12.709629

KEYWORDS: Image registration, Visualization, Computer programming, Digital filtering, Gaussian filters, Image processing, Video acceleration, Video, Positron emission tomography, Graphics processing units

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