Prof. Christoph Hoeschen Profile

Prof. Christoph Hoeschen

Professor at Otto-von-Guericke-Univ

SPIE Involvement:

Author | Editor

Publications (58)

Proceedings Article | 29 March 2024 Presentation + Paper

Computed tomography optimization using a volumetric channelized Hotelling observer approach for energy integrating and photon-counting CT scanners

D. Petrov, Gizem Yegin, Christoph Hoeschen, Hilde Bosmans

Proceedings Volume 12929, 129290F (2024) https://doi.org/10.1117/12.3005416

KEYWORDS: Image quality, Scanners, Computed tomography, Reconstruction algorithms, Target detection, Image quality standards, X-ray computed tomography, Optical spheres, Image analysis, Education and training

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Purpose: To develop a volumetric channelized Hotelling observer (vCHO) for protocol optimization studies using an anthropomorphic phantom across different types of scanners, including energy integrating (EI-CT) and photon-counting (PC-CT) CT scanners and validate it against human observer results. Methods: The anthropomorphic abdominal phantom was scanned on a PCCT and EICT. The phantom consists of 5 anatomical landmarks and a cylindrical insert, containing low-contrast spheres (diameters 4, 6, and 8mm, 15 of each size) and a sizable signal-free background. The phantom was scanned on both systems with a wide range of CT parameters: tube voltage, dose, reconstruction settings, FOV, and slice thickness (more than 350 scans). An anthropomorphic vCHO was created to assess the targets detectability. A two-layer approach was used, where first the target locations were estimated using a CHO with Laguerre-Gauss channels, followed by an anthropomorphic CHO with volumetric difference-of-Gaussians channels to assess the percentage correctly detected spheres (PC). The threshold diameter (Dtr) at 62.5% PC was estimated via logistic regression, with lower Dtr representing better detectability and expressed in ‘mm’. Results: For almost all settings the PCCT performs better than the EICT. For both scanners while keeping the rest of the settings, the performance increased with tube voltage. As expected, the performance increased with higher dose. Softer kernel yielded higher quality. For the EICT, FBP outperformed iterative reconstruction, while for the PCCT the IR strength did not result in statistically significant results (p>0.1). Smaller FOV enhanced and similarly narrower slice thickness improved performance. When the results were compared to the human observer readings the vCHO outperformed the humans under all conditions, but comparatively the same conclusions about the image quality can be drawn. The human observers are more sensitive to scanning parameters change, where the vCHO detects smaller change in Dtr for the same reading conditions. Conclusions: This study introduced an anthropomorphic vCHO for CT image quality assessment using an anthropomorphic phantom and the first vCHO tendencies for different parameters for an EICT and PCCT scanners.

Proceedings Article | 18 October 2022 Open Access

Detruncation of clinical CT scans using a discrete algebraic reconstruction technique prior

Achim Byl, Michael Knaup, Magdalena Rafecas, Christoph Hoeschen, Marc Kachelrieß

Proceedings Volume 12304, 123041M (2022) https://doi.org/10.1117/12.2646885

KEYWORDS: Computed tomography, Reconstruction algorithms, CT reconstruction, Algorithm development, Image restoration, Scanners

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SPIE Journal Paper | 23 June 2022 Open Access

Fifty years of SPIE Medical Imaging proceedings papers

Robert Nishikawa, Christoph Hoeschen, Anant Madabhushi, Kyle Myers, Thomas Deserno, Elizabeth Krupinski, Ronald Summers, Claudia Mello-Thoms, Matthew Kupinski, Jeffrey Siewerdsen

JMI, Vol. 9, Issue S1, 012207, (June 2022) https://doi.org/10.1117/12.10.1117/1.JMI.9.S1.012207

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SPIE Journal Paper | 16 March 2022 Open Access

Science and practice of imaging physics through 50 years of SPIE Medical Imaging conferences

Adam Wang, Ian Cunningham, Mats Danielsson, Rebecca Fahrig, Thomas Flohr, Frederic Noo, Anders Tingberg, Wei Zhao, Ehsan Samei, Christoph Hoeschen, John Sabol, Jeffrey Siewerdsen, John Yorkston

JMI, Vol. 9, Issue S1, 012205, (March 2022) https://doi.org/10.1117/12.10.1117/1.JMI.9.S1.012205

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Proceedings Article | 16 March 2020 Paper

Image quality assessment of real patient thorax CT images using modulation transfer function and noise power spectrum

Zahra Passand, Christoph Hoeschen

Proceedings Volume 11312, 113122N (2020) https://doi.org/10.1117/12.2550073

KEYWORDS: Image quality, Computed tomography, Modulation transfer functions, X-ray computed tomography, Diagnostics, Image acquisition, Spatial resolution, Medical imaging, Image analysis, Databases

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Proceedings Article | 9 March 2018 Paper

Assessment of image quality parameters of a novel micro-CT system compared to a conventional CT geometry

K. Kumar, N. Saeid Nezhad, B Mueller, O. Tischenko , C. Hoeschen

Proceedings Volume 10573, 105732L (2018) https://doi.org/10.1117/12.2293774

KEYWORDS: Modulation transfer functions, Reconstruction algorithms, Computed tomography, X-ray computed tomography, Image filtering, CT reconstruction, Imaging systems, Image quality, Monte Carlo methods

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SPIE Journal Paper | 7 February 2018

Determination and verification of the x-ray spectrum of a CT scanner

Ahmad Ibrahim Hassan, Martin Skalej, Helmut Schlattl, Christoph Hoeschen

JMI, Vol. 5, Issue 01, 013506, (February 2018) https://doi.org/10.1117/12.10.1117/1.JMI.5.1.013506

KEYWORDS: X-ray sources, X-rays, Optical filters, X-ray computed tomography, Scanners, Monte Carlo methods, Radiography, Signal attenuation, Aluminum, Fluctuations and noise

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SPIE Journal Paper | 3 October 2017 Open Access

Special Section Guest Editorial: Visions of Safety: Perspectives on Radiation Exposure and Risk in Medical Imaging

Ehsan Samei, Christoph Hoeschen

JMI, Vol. 4, Issue 03, 031201, (October 2017) https://doi.org/10.1117/12.10.1117/1.JMI.4.3.031201

KEYWORDS: Safety, Medical imaging, Ionizing radiation, Physics, Medical physics, Biological research, Diagnostics, Radiology, Magnetic resonance imaging, Radiation effects

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SPIE Journal Paper | 30 March 2017

Anthropomorphic dual-lattice voxel models for optimizing image quality and dose

Nina Petoussi-Henss, Helmut Schlattl, Janine Becker, Matthias Greiter, Maria Zankl, Christoph Hoeschen

JMI, Vol. 4, Issue 01, 013509, (March 2017) https://doi.org/10.1117/12.10.1117/1.JMI.4.1.013509

KEYWORDS: Lung, Monte Carlo methods, Image quality, Image resolution, Phase modulation, Computed tomography, Tissues, 3D modeling, Natural surfaces, Breast

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Proceedings Article | 9 March 2017 Paper

Experimental investigation of a HOPG crystal fan for x-ray fluorescence molecular imaging

Tanja Rosentreter, Bernhard Müller, Helmut Schlattl, Christoph Hoeschen

Proceedings Volume 10132, 101325P (2017) https://doi.org/10.1117/12.2253858

KEYWORDS: X-ray fluorescence spectroscopy, Sensors, Fluctuations and noise, X-ray sources, X-rays, Crystals, Luminescence, Iodine, Photons, Signal detection

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Proceedings Article | 9 March 2017 Presentation + Paper

Airways, vasculature, and interstitial tissue: anatomically informed computational modeling of human lungs for virtual clinical trials

Ehsan Abadi, Gregory Sturgeon, Greeshma Agasthya, Brian Harrawood, Christoph Hoeschen, Anuj Kapadia, W. Segars, Ehsan Samei

Proceedings Volume 10132, 101321Q (2017) https://doi.org/10.1117/12.2254739

KEYWORDS: Lung, Clinical trials, Computed tomography, Arteries, Veins, Tissues, Computational modeling, Medical imaging, Image segmentation, 3D modeling, Image quality

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Proceedings Article | 9 March 2017 Paper

Novel method to calibrate CT scanners with a conic probe body

O. Tischenko, N. Saeednejad, C. Hoeschen

Proceedings Volume 10132, 101322Q (2017) https://doi.org/10.1117/12.2254081

KEYWORDS: Calibration, Computed tomography, Scanners, Tomography, Cones, Sensors, Error analysis, X-ray computed tomography, Edge detection, Manufacturing, Imaging systems, X-ray sources, Monte Carlo methods

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Proceedings Article | 29 March 2016 Paper

Conceptual detector development and Monte Carlo simulation of a novel 3D breast computed tomography system

Jens Ziegle, Bernhard Müller, Bernd Neumann, Christoph Hoeschen

Proceedings Volume 9783, 97832C (2016) https://doi.org/10.1117/12.2216965

KEYWORDS: Sensors, Breast, Monte Carlo methods, Imaging systems, X-rays, 3D image processing, X-ray detectors, Computed tomography, Computing systems, Breast imaging, Photons, Electron beams, Tissues, X-ray fluorescence spectroscopy

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