Prof. Jan Klohs Profile

Prof. Jan Klohs

Assistant Professor at ETH Zurich

SPIE Involvement:

Author

Area of Expertise:

near-infrared fluorescence imaging , optoacoustic imaging , cerebral ischemia , brain diseases , Alzheimer`s disease , animal models

Our group conducts interdisciplinary research in the field of preclinical near-infrared fluorescence and optoacoustic imaging. We apply our extensive methodological expertise in data acquisition and post-processing to investigate models of brain diseases, with a focus on cerebral ischemia and Alzheimer`s disease. To this end, we use experimental and genetic animals models of human disease, pharmacology, biochemical and immunohistochemical techniques are employed for validation of these approaches.

Proceedings Article | 26 October 2022 Paper

Automatic image registration of optoacoustic tomography and magnetic resonance imaging based on deep learning

Yexing Hu, Berkan Lafci, Artur Luzgin, Hao Wang, Jan Klohs, Xosé Luís Deán-Ben, Ruiqing Ni, Daniel Razansky, Wuwei Ren

Proceedings Volume 12461, 1246103 (2022) https://doi.org/10.1117/12.2655214

KEYWORDS: Image segmentation, Magnetic resonance imaging, Image registration, Optoacoustics, Brain, Neuroimaging, Tomography, Algorithm development, Optical tomography

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Proceedings Article | 24 May 2022 Presentation + Paper

Noninvasive optoacoustic imaging of the human brain validated with magnetic resonance angiography

Ruiqing Ni, Xosé Luís Deán-Ben, Valarie Treyer, Jan Klohs, Anton Gietl, Christoph Hock, Roger Nitsch, Daniel Razansky

Proceedings Volume 12146, 1214603 (2022) https://doi.org/10.1117/12.2619536

KEYWORDS: Neuroimaging, Brain, Magnetic resonance imaging, Optoacoustics

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SPIE Journal Paper | 3 April 2019 Open Access

Automated registration of magnetic resonance imaging and optoacoustic tomography data for experimental studies

Wuwei Ren, Hlynur Skulason, Felix Schlegel, Markus Rudin, Jan Klohs, Ruiqing Ni

NPh, Vol. 6, Issue 02, 025001, (April 2019) https://doi.org/10.1117/12.10.1117/1.NPh.6.2.025001

KEYWORDS: Image registration, Magnetic resonance imaging, Brain, Neuroimaging, Image segmentation, Tomography, Optoacoustics, In vivo imaging, Neurophotonics, Reconstruction algorithms

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Proceedings Article | 4 March 2019 Presentation

International Photoacoustic Standardisation Consortium (IPASC): overview (Conference Presentation)

Sarah Bohndiek, Joanna Brunker, Janek Gröhl, Lina Hacker, James Joseph, William Vogt, Paolo Armanetti, Hisham Assi, Jeffrey Bamber, Paul Beard, Thomas Berer, Richard Bouchard, Kimberly Briggman, Lucia Cavigli, Bryan Clingman, Ben Cox, Adrien Desjardins, Andrew Heinmiller, Jeesong Hwang, Eno Hysi, Aoife Ivory, Jithin Jose, Thomas Kirchner, Jan Klohs, Lena Maier-Hein, Efthymios Maneas, Julia Mannheim, Srirang Manohar, Lacey McNally, Luca Menichetti, Steven Miller, Stefan Morscher, Ruiqing Ni, Yoko Okamura, Malini Olivo, Marty Pagel, Geoff Parker, Anna Pelagotti, Antonio Pifferi, Srinath Rajagopal, Fulvio Ratto, Daniel Razansky, Lisa Richards, Avihai Ron, Mithun Kuniyil Ajith Singh, Maximillian Waldner, Kun Wang, Lihong Wang, Wenfeng Xia, Bajram Zeqiri

Proceedings Volume 10878, 108781N (2019) https://doi.org/10.1117/12.2506044

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SPIE Journal Paper | 28 February 2018 Open Access

Noninvasive detection of acute cerebral hypoxia and subsequent matrix-metalloproteinase activity in a mouse model of cerebral ischemia using multispectral-optoacoustic-tomography

Ruiqing Ni, Markus Vaas, Wuwei Ren, Jan Klohs

NPh, Vol. 5, Issue 01, 015005, (February 2018) https://doi.org/10.1117/12.10.1117/1.NPh.5.1.015005

KEYWORDS: Brain, Tissues, In vivo imaging, Magnetic resonance imaging, Neuroimaging, Ischemia, Signal detection, Hypoxia, Oxygen, Luminescence

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Proceedings Article | 19 February 2018 Presentation + Paper

Non-invasive detection of matrix-metalloproteinase activity in a mouse model of cerebral ischemia using multispectral optoacoustic tomography

Ruiqing Ni, Markus Vaas, Wuwei Ren, Jan Klohs

Proceedings Volume 10494, 104940O (2018) https://doi.org/10.1117/12.2286313

KEYWORDS: Magnetic resonance imaging, Brain, Ischemia, In vivo imaging, Mouse models, Neuroimaging, Optoacoustics, Imaging systems, Animal model studies

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Proceedings Article | 19 February 2018 Presentation + Paper

Quantification of amyloid deposits and oxygen extraction fraction in the brain with multispectral optoacoustic imaging in arcAbeta mouse model of Alzheimer's disease

Ruiqing Ni, Markus Vaas, Markus Rudin, Jan Klohs

Proceedings Volume 10494, 104941G (2018) https://doi.org/10.1117/12.2286309

KEYWORDS: Brain, Neuroimaging, Oxygen, Multispectral imaging, Mouse models, Hemodynamics, Optoacoustics, Magnetic resonance imaging, Alzheimer's disease, Head

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Proceedings Article | 28 February 2013 Paper

Reconstructing optical parameters from double-integrating-sphere measurements using a genetic algorithm

Christoph Böcklin, Dirk Baumann, Florian Stuker, Jan Klohs, Markus Rudin, Jürg Fröhlich

Proceedings Volume 8583, 858304 (2013) https://doi.org/10.1117/12.2004044

KEYWORDS: Optical spheres, Reflectivity, Transmittance, Tissue optics, Tissues, Reconstruction algorithms, Calibration, Light scattering, Scattering, Mie scattering

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For the reconstruction of physiological changes in specific tissue layers detected by optical techniques, the exact knowledge of the optical parameters μ_a, μ_s and g of different tissue types is of paramount importance. One approach to accurately determine these parameters for biological tissue or phantom material is to use a double-integrating-sphere measurement system. It offers a flexible way to measure various kinds of tissues, liquids and artificial phantom materials. Accurate measurements can be achieved by technical adjustments and calibration of the spheres using commercially available reflection and transmission standards. The determination For the reconstruction of physiological changes in specific tissue layers detected by optical techniques, the exact knowledge of the optical parameters μ_a, μ_s and g of different tissue types is of paramount importance. One approach to accurately determine these parameters for biological tissue or phantom material is to use a double-integrating-sphere measurement system. It offers a flexible way to measure various kinds of tissues, liquids and artificial phantom materials. Accurate measurements can be achieved by technical adjustments and calibration of the spheres using commercially available reflection and transmission standards. The determination of the optical parameters of a material is based on two separate steps. Firstly, the reflectance ρ_s, the total transmittance T_s^T and the unscattered transmittance T_s^C of the sample s are measured with the double-integrating-sphere setup. Secondly, the optical parameters μ_a, μ_s and g are reconstructed with an inverse search algorithm combined with an appropriate solver for the forward problem (calculating ρ_s, T_s^T and T_s^C from μ_a, μ_s and g) has to be applied. In this study a Genetic Algorithm is applied as search heuristic, since it offers the most flexible and general approach without requiring any foreknowledge of the fitness-landscape. Given the challenging preparation of real tissue samples it comes as no surprise that these are subject to various uncertainties. In order to perform a robust parameter reconstruction samples of different thickness are used. This adds a further, strong restriction to the potential results from the heuristic reconstruction algorithm.

SPIE Journal Paper | 1 July 2008 Open Access

Fluorescence tomography technique optimized for noninvasive imaging of the mouse brain

Riad Bourayou, Heide Boeth, Heval Benav, Thomas Betz, Ute Lindauer, Till Nierhaus, Jan Klohs, Andreas Wunder, Ulrich Dirnagl, Jens Steinbrink

JBO, Vol. 13, Issue 04, 041311, (July 2008) https://doi.org/10.1117/12.10.1117/1.2968262

KEYWORDS: Sensors, Brain, Monte Carlo methods, Tissues, Head, Optical properties, Fluorescence tomography, Tomography, Neuroimaging, Luminescence

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