Dr. Jörg Peter Profile

Dr. Jörg Peter

at Deutsches Krebsforschungszentrum

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Author

Publications (13)

SPIE Journal Paper | 20 March 2018 Open Access

Photoacoustic imaging to assess pixel-based sO₂ distributions in experimental prostate tumors

Alina Bendinger, Christin Glowa, Jörg Peter, Christian Karger

JBO, Vol. 23, Issue 03, 036009, (March 2018) https://doi.org/10.1117/12.10.1117/1.JBO.23.3.036009

KEYWORDS: Tumors, Oxygen, Photoacoustic imaging, Skin, Tissues, Prostate, Hypoxia, Switching, Arteries, Visualization

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Proceedings Article | 23 September 2015 Paper

Optical tomography by means of regularized MLEM

Charles Majer, Tina Urbanek, Jörg Peter

Proceedings Volume 9630, 96300H (2015) https://doi.org/10.1117/12.2191232

KEYWORDS: Reconstruction algorithms, Photons, Expectation maximization algorithms, Data acquisition, X-ray computed tomography, Optical tomography, Cameras, Tomography, Inverse optics, Data modeling

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SPIE Journal Paper | 11 September 2015 Open Access

Development and investigation of a magnetic resonance imaging-compatible microlens-based optical detector

Steffen Paar, Reiner Umathum, Xiaoming Jiang, Charles Majer, Jörg Peter

JBO, Vol. 20, Issue 09, 095007, (September 2015) https://doi.org/10.1117/12.10.1117/1.JBO.20.9.095007

KEYWORDS: Magnetic resonance imaging, Sensors, Signal to noise ratio, Magnetism, Imaging systems, Resonators, Light sources, Scanners, Spatial resolution, Magnetic sensors

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SPIE Journal Paper | 27 February 2014 Open Access

Surface reconstruction from multiview projection data employing a microlens array-based optical detector: a simulation study

Xiaoming Jiang, Liji Cao, Jörg Peter

OE, Vol. 53, Issue 02, 023104, (February 2014) https://doi.org/10.1117/12.10.1117/1.OE.53.2.023104

KEYWORDS: Sensors, Microlens, Data acquisition, Image sensors, In vivo imaging, 3D image processing, Geometrical optics, Imaging systems, Optical engineering, Binary data

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SPIE Journal Paper | 24 June 2013 Open Access

Investigating line- versus point-laser excitation for three-dimensional fluorescence imaging and tomography employing a trimodal imaging system

Liji Cao, Jörg Peter

JBO, Vol. 18, Issue 06, 066015, (June 2013) https://doi.org/10.1117/12.10.1117/1.JBO.18.6.066015

KEYWORDS: Luminescence, 3D image processing, Imaging systems, Single photon emission computed tomography, Data acquisition, 3D acquisition, Image restoration, In vivo imaging, Computed tomography, Tomography

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Proceedings Article | 13 March 2013 Paper

Synchromodal optical in vivo imaging employing microlens array optics: a complete framework

Joerg Peter

Proceedings Volume 8574, 857402 (2013) https://doi.org/10.1117/12.2004426

KEYWORDS: Sensors, Imaging systems, Positron emission tomography, Data acquisition, In vivo imaging, Optical imaging, Magnetic resonance imaging, Microlens array, Tomography, 3D image reconstruction

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A complete mathematical framework for preclinical optical imaging (OI) support comprising bioluminescence imaging (BLI), fluorescence surface imaging (FSI) and fluorescence optical tomography (FOT) is presented in which optical data is acquired by means of a microlens array (MLA) based light detector (MLA-D). The MLA-D has been developed to enable unique OI, especially in synchromodal operation with secondary imaging modalities (SIM) such as positron emission tomography (PET) or magnetic resonance imaging (MRI). An MLA-D consists of a (large-area) photon sensor array, a matched MLA for field-of-view definition, and a septum mask of specific geometry made of anodized aluminum that is positioned between the sensor and the MLA to suppresses light cross-talk and to shield the sensor's radiofrequency interference signal (essential when used inside an MRI system). The software framework, while freely parameterizable for any MLA-D, is tailored towards an OI prototype system for preclinical SIM application comprising a multitude of cylindrically assembled, gantry-mounted, simultaneously operating MLA-D's. Besides the MLA-D specificity, the framework incorporates excitation and illumination light-source declarations of large-field and point geometry to facilitate multispectral FSI and FOT as well as three-dimensional object recognition. When used in synchromodal operation, reconstructed tomographic SIM volume data can be used for co-modal image fusion and also as a prior for estimating the imaged object's 3D surface by means of gradient vector flow. Superimposed planar (without object prior) or surface-aligned inverse mapping can be performed to estimate and to fuse the emission light map with the boundary of the imaged object. Triangulation and subsequent optical reconstruction (FOT) or constrained flow estimation (BLI), both including the possibility of SIM priors, can be performed to estimate the internal three-dimensional emission light distribution. The framework is susceptible to a number of variables controlling convergence and computational speed. Utilization and performance is illustrated on experimentally acquired data employing the OI prototype system in stand-alone operation, and when integrated into an unmodified preclinical PET system performing synchromodal BLI-PET in vivo imaging.

Proceedings Article | 13 March 2013 Paper

Evaluation of shape recognition abilities for a micro-lens array based optical detector by a dedicated simulation framework

Xiaoming Jiang, Liji Cao, Wolfhard Semmler, Jörg Peter

Proceedings Volume 8573, 85730Q (2013) https://doi.org/10.1117/12.2003882

KEYWORDS: Sensors, Detection and tracking algorithms, Optical arrays, Image sensors, Detector arrays, Associative arrays, Optical imaging, Signal detection, Cameras, Imaging systems

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Proceedings Article | 19 October 2012 Paper

Development of a numerical framework for studying intrinsic parameter of a micro-lens-based optical detector

Steffen Paar, Xiaoming Jiang, Wolfhard Semmler, Jörg Peter

Proceedings Volume 8487, 84870L (2012) https://doi.org/10.1117/12.928685

KEYWORDS: Sensors, Spatial resolution, Modulation transfer functions, Spatial frequencies, In vivo imaging, Prototyping, Geometrical optics, Radio optics, Solids, Cameras

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Proceedings Article | 18 July 2007 Paper

High-resolution image acquisition using a compact microlens-coupled detector

Daniel Unholtz, Ralf Schulz, Wolfhard Semmler, Jörg Peter

Proceedings Volume 6631, 66311F (2007) https://doi.org/10.1117/12.728465

KEYWORDS: Sensors, Image sensors, Spatial resolution, Microlens, CMOS sensors, Associative arrays, Image acquisition, Microlens array, Image resolution, Data acquisition

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Proceedings Article | 18 July 2007 Paper

A novel optical detector concept for dedicated and multi-modality in vivo small animal imaging

Jörg Peter, Ralf Schulz, Daniel Unholtz, Wolfhard Semmler

Proceedings Volume 6631, 663110 (2007) https://doi.org/10.1117/12.728500

KEYWORDS: Sensors, Positron emission tomography, CMOS sensors, Magnetic resonance imaging, Tomography, In vivo imaging, Imaging systems, Biomedical optics, Spatial resolution, Data acquisition

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An optical detector suitable for inclusion in tomographic arrangements for non-contact in vivo bioluminescence and fluorescence imaging applications is proposed. It consists of a microlens array (MLA) intended for field-of-view definition, a large-field complementary metal-oxide-semiconductor (CMOS) chip for light detection, a septum mask for cross-talk suppression, and an exchangeable filter to block excitation light. Prototype detector units with sensitive areas of 2.5 cm x 5 cm each were assembled. The CMOS sensor constitutes a 512 x 1024 photodiode matrix at 48 μm pixel pitch. Refractive MLAs with plano-convex lenses of 480 μm in diameter and pitch were selected resulting in a 55 x 105 lens matrix. The CMOS sensor is aligned on the focal plane of the MLA at 2.15mm distance. To separate individual microlens images an opaque multi-bore septum mask of 2.1mm in thickness and bore diameters of 400 μm at 480 μm pitch, aligned with the lens pattern, is placed between MLA and CMOS. Intrinsic spatial detector resolution and sensitivity was evaluated experimentally as a function of detector-object distance. Due to its small overall dimensions such detectors can be favorably packed for tomographic imaging (optical diffusion tomography, ODT) yielding complete 2 π field-of-view coverage. We also present a design study of a device intended to simultaneously image positron labeled substrates (positron emission tomography, PET) and optical molecular probes in small animals such as mice and rats. It consists of a cylindrical allocation of optical detector units which form an inner detector ring while PET detector blocks are mounted in radial extension, those gaining complementary information in a single, intrinsically coregistered experimental data acquisition study. Finally, in a second design study we propose a method for integrated optical and magnetic resonance imaging (MRI) which yields in vivo functional/molecular information that is intrinsically registered with the anatomy of the image object.

Proceedings Article | 11 July 2007 Paper

Applying time-dependent data for fluorescence tomography

Ralf Schulz, Martin Schweiger, Cosimo D'Andrea, Gianluca Valentini, Jörg Peter, Rinaldo Cubeddu, Simon Arridge, Wolfhard Semmler

Proceedings Volume 6626, 66260N (2007) https://doi.org/10.1117/12.728357

KEYWORDS: Luminescence, Data acquisition, Data modeling, Reconstruction algorithms, Diffusion, Photons, Picosecond phenomena, Fluorescence tomography, CCD cameras

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Proceedings Article | 27 October 2005 Paper

Quantifiability and image quality in noncontact fluorescence tomography

Ralf Schulz, Joerg Peter, Wolfhard Semmler, Cosimo D'Andrea, Gianluca Valentini, Rinaldo Cubeddu

Proceedings Volume 5859, 58590Z (2005) https://doi.org/10.1117/12.632855

KEYWORDS: Fluorescence tomography, Image quality, Fourier transforms, Biomedical optics, Charge-coupled devices, Fiber optics

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Proceedings Article | 28 March 1995 Paper

Image segmentation with constraint satisfaction synergetic potential network

Joerg Peter, Richard Freyer

Proceedings Volume 2424, (1995) https://doi.org/10.1117/12.205240

KEYWORDS: Image segmentation, Image processing, Stochastic processes, Systems modeling, Prototyping, Dynamical systems, Chemical elements, Single photon emission computed tomography, Expectation maximization algorithms, Medical imaging

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Showing 5 of 13 publications

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