Mr. Felix K. Kopp Profile

Felix K. Kopp

at Klinikum rechts der Isar der Technischen Univ. Muen

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Publications (10)

Proceedings Article | 16 March 2020 Paper

Benefit of dual energy CT for lesion localization and classification with convolutional neural networks

Nadav Shapira, Julia Fokuhl, Manuel Schultheiß, Stefanie Beck, Felix Kopp, Daniela Pfeiffer, Julia Dangelmaier, Gregor Pahn, Andreas Sauter, Bernhard Renger, Alexander Fingerle, Andrew D. Maidment, Ernst Rummeny, Shadi Albarqouni, Nassir Navab, Peter Noël

Proceedings Volume 11312, 113121Q (2020) https://doi.org/10.1117/12.2549291

KEYWORDS: Liver, Iodine, Computed tomography, Image segmentation, Convolutional neural networks, Dual energy imaging, Diagnostics, X-ray computed tomography, Medicine, Image classification

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Proceedings Article | 1 March 2019 Paper

Sparse-sampling computed tomography for pulmonary imaging

Felix Kopp, Kai Mei, Ernst Rummeny, Peter Noël

Proceedings Volume 10948, 109482X (2019) https://doi.org/10.1117/12.2513439

KEYWORDS: Modulation transfer functions, Lung, X-ray computed tomography, Computed tomography, Image quality, X-rays, Scanners

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Computed tomography (CT) is a valuable imaging modality for pulmonary imaging. Fast acquisition times and sharp cross-sectional images guarantee high diagnostic confidence. With the introduction of low-dose CT, it has been established as standard for lung screening of heavy smokers in many countries around the world. However, at some point the limits for dose reduction with conventional CT are reached and further reduction would suffer from poor image quality. Sparsesampling CT is one technology that would allow a further radiation dose reduction by reducing the number of acquired projection images. Recently, the feasibility of a fast pulsing X-ray tube for CT has been demonstrated, indicating that sparse sampling could become available in future generations of CT scanners. Therefore, we investigated the effect of sparse sampling by a stepwise reduction of the projection images. A lung phantom with synthetic pulmonary nodules was scanned with a clinical CT system. Sparse sampling was simulated by removing projection images prior to reconstruction. The phantom was scanned at the iso-center and at the highest possible table position (off-center). The modulation transfer function (MTF) was determined for different degrees of sparse sampling. Image quality was evaluated by comparing the reduced dose simulations against the full dose image using the structural similarity index (SSIM). MTF was stable down to using 1/4th of the projection images (4-times sparse sampling, SpS-4) with high degradation at the off-center position (full sampling (FS) 10% MTF, iso-center: 0.64; off-center: 0.47). SSIM indicates a small image quality degradation of FS images compared to sparse-sampling images at low radiation doses at the iso-center (35 mAs; FS: 0.91; SpS-4: 0.93) and stronger degradations at the off-center position (35 mAs; FS: 0.65; SpS-4: 0.84). In conclusion, sparse sampling provides stable MTF results down to 1/4th of the projection images. At low dose levels (iso-center: ≤43 mAs; off-center: ≤86 mAs), sparse sampling performs better in terms of SSIM compared to FS.

Proceedings Article | 9 March 2018 Paper

Diagnostic value of sparse sampling computed tomography for radiation dose reduction: initial results

Felix Kopp, Rolf Bippus, Andreas Sauter, Daniela Muenzel, Frank Bergner, Kai Mei, Julia Dangelmaier, Benedikt Schwaiger, Marco Catalano, Alexander Fingerle, Ernst Rummeny, Peter Noël

Proceedings Volume 10573, 1057340 (2018) https://doi.org/10.1117/12.2293529

KEYWORDS: Diagnostics, Computed tomography, Image quality, X-ray computed tomography, X-rays, Scanners, Data acquisition, Medical research

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Proceedings Article | 9 March 2018 Paper

Calcium decomposition and phantomless bone mineral density measurements using dual-layer-based spectral computed tomography

Kai Mei, Benedikt Schwaiger, Felix Kopp, Sebastian Ehn, Alexandra Gersing, Jan Kirschke, Daniela Munzel, Alexander Fingerle, Ernst Rummeny, Franz Pfeiffer, Thomas Baum, Peter Noël

Proceedings Volume 10573, 105731H (2018) https://doi.org/10.1117/12.2292978

KEYWORDS: Bone, Computed tomography, Spectral computed tomography, Calibration, Algorithm development

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Proceedings Article | 7 March 2018 Paper

Evaluation of a machine learning based model observer for x-ray CT

Felix Kopp, Marco Catalano, Daniela Pfeiffer, Ernst Rummeny, Peter Noël

Proceedings Volume 10577, 105770S (2018) https://doi.org/10.1117/12.2293582

KEYWORDS: Machine learning, Neural networks, X-rays, Performance modeling, Reconstruction algorithms, Image quality, X-ray computed tomography

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Proceedings Article | 9 March 2017 Paper

Effects of sparse sampling in combination with iterative reconstruction on quantitative bone microstructure assessment

Kai Mei, Felix Kopp, Andreas Fehringer, Franz Pfeiffer, Ernst Rummeny, Jan Kirschke, Peter Noël, Thomas Baum

Proceedings Volume 10132, 1013244 (2017) https://doi.org/10.1117/12.2254290

KEYWORDS: Bone, Computed tomography, Tomography, X-ray sources, Fast packet switching, Reconstruction algorithms, Image quality, In vivo imaging, Spine, Image analysis, Scanners, Diagnostics

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Proceedings Article | 29 March 2016 Paper

Effect of low-dose CT and iterative reconstruction on trabecular bone microstructure assessment

Felix Kopp, Thomas Baum, Radin Nasirudin, Kai Mei, Eduardo Garcia, Rainer Burgkart, Ernst Rummeny, Jan Bauer, Peter Noël

Proceedings Volume 9788, 97881R (2016) https://doi.org/10.1117/12.2216175

KEYWORDS: Bone, Computed tomography, Spine, Analytical research, Diagnostics, Minerals, Magnetic resonance imaging, Statistical analysis, Optical filters, Image filtering, X-ray computed tomography, Image quality, Calibration, Biomedical optics

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Proceedings Article | 18 March 2015 Paper

Reduction of iodinated contrast medium in CT: feasibility study

Radin Nasirudin, Kai Mei, Felix Kopp, Petar Penchev, Ernst Rummeny, Martin Fiebich, Peter Noël

Proceedings Volume 9412, 94122L (2015) https://doi.org/10.1117/12.2082143

KEYWORDS: Iodine, Reconstruction algorithms, Image enhancement, Curium, Diagnostics, Photons, Sensors, Image quality, Image restoration, Monte Carlo methods

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Proceedings Article | 18 March 2015 Paper

A comparison of material decomposition techniques for dual-energy CT colonography

Radin Nasirudin, Rie Tachibana, Janne Näppi, Kai Mei, Felix Kopp, Ernst Rummeny, Hiroyuki Yoshida, Peter Noël

Proceedings Volume 9412, 94124F (2015) https://doi.org/10.1117/12.2081982

KEYWORDS: Iodine, Computer aided diagnosis and therapy, Virtual colonoscopy, Computer aided design, Diagnostics, Computed tomography, Signal attenuation, Bone, Colon, Image segmentation

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Proceedings Article | 18 March 2015 Paper

Region of interest processing for iterative reconstruction in x-ray computed tomography

Felix Kopp, Radin Nasirudin, Kai Mei, Andreas Fehringer, Franz Pfeiffer, Ernst Rummeny, Peter Noël

Proceedings Volume 9412, 94122E (2015) https://doi.org/10.1117/12.2081911

KEYWORDS: Reconstruction algorithms, Signal to noise ratio, X-ray computed tomography, Image quality, CT reconstruction, Diagnostics, Visualization, Scanners, Interference (communication), Algorithm development

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Showing 5 of 10 publications

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