Dr. Dimitris Gorpas Profile

Dr. Dimitris Gorpas

Group Leader at Helmholtz Zentrum München

SPIE Involvement:

Author | Special Event Speaker

Area of Expertise:

Biomedical Optics , Computer Vision , Fluorescence Molecular Imaging , Optical Imaging , Image Processing , Multimodal Imaging

Websites:

Company Website

Publications (36)

SPIE Journal Paper | 5 April 2023 Open Access

Accounting for blood attenuation in intravascular near-infrared fluorescence-ultrasound imaging using a fluorophore-coated guidewire

Philipp Rauschendorfer, Georg Wissmeyer, Farouc A. Jaffer, Dimitris Gorpas, Vasilis Ntziachristos

JBO, Vol. 28, Issue 04, 046001, (April 2023) https://doi.org/10.1117/12.10.1117/1.JBO.28.4.046001

KEYWORDS: Blood, Signal attenuation, Capillaries, Tissues, Biological imaging, Attenuation correction, Intravascular ultrasound, Signal intensity, Arteries, Fluorescence intensity

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SPIE Journal Paper | 27 June 2022 Open Access

Special Section Guest Editorial: Tissue Phantoms to Advance Biomedical Optical Systems

Dimitris Gorpas, Heidrun Wabnitz, T. Joshua Pfefer

JBO, Vol. 27, Issue 07, 074701, (June 2022) https://doi.org/10.1117/12.10.1117/1.JBO.27.7.074701

KEYWORDS: Standards development, Image quality standards, Biomedical optics, Tissues, Tissue optics, Luminescence, Imaging spectroscopy, Diffuse optical imaging, Silicon, Raman spectroscopy

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SPIE Journal Paper | 16 February 2022 Open Access

Standardization and implementation of fluorescence molecular endoscopy in the clinic

Andrea Sterkenburg, Wouter T. Hooghiemstra, Iris Schmidt, Vasilis Ntziachristos, Wouter Nagengast, Dimitris Gorpas

JBO, Vol. 27, Issue 07, 074704, (February 2022) https://doi.org/10.1117/12.10.1117/1.JBO.27.7.074704

KEYWORDS: Luminescence, Imaging systems, Endoscopy, Standards development, Tissue optics, In vivo imaging, Optical properties, Tissues, Scattering, Clinical trials

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Proceedings Article | 9 December 2021 Paper

Facile synthesis of a croconaine-based nanoformulation for optoacoustic imaging and photothermal therapy

Nian Liu, Patrick O'Connor, Vipul Gujrati, Michael Sattler, Vasilis Ntziachristos, Dimitris Gorpas, Sarah Glasl, Andreas Blutke, Axel Walch, Karin Kleigrewe, Oliver Plettenburg

Proceedings Volume 11923, 1192318 (2021) https://doi.org/10.1117/12.2615998

KEYWORDS: Optoacoustics, Near infrared, Nanoparticles, Tumors, Optical properties, Medicine, Medical research, Cancer, Analytical research, Transmission electron microscopy

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Proceedings Article | 5 March 2021 Presentation

Characterization of the transmission of structured light in scattering media

Alessia Suprano, Ilaria Gianani, Taira Giordani, Nicolò Spagnolo, Katja Pinker, Uwe Klemm, Dimitris Gorpas, Vasilis Ntziachristos, Netanel Biton, Judy Kupferman, Shlomi Arnon, Fabio Sciarrino

Proceedings Volume 11646, 116460N (2021) https://doi.org/10.1117/12.2583117

KEYWORDS: Structured light, Scattering media, Light scattering, Spatial resolution, Tissue optics, Scattering, Polarization, Latex, Laser scattering, Beam propagation method

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SPIE Journal Paper | 22 May 2020 Open Access

Transmission of vector vortex beams in dispersive media

Ilaria Gianani, Alessia Suprano, Taira Giordani, Nicolò Spagnolo, Fabio Sciarrino, Dimitris Gorpas, Vasilis Ntziachristos, Katja Pinker, Netanel Biton, Judy Kupferman, Shlomi Arnon

AP, Vol. 2, Issue 03, 036003, (May 2020) https://doi.org/10.1117/12.10.1117/1.AP.2.3.036003

KEYWORDS: Polarization, Scattering, Light scattering, Laser scattering, Structured light, Scattering media, Superposition, Latex, Optical vortices, Photonics

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SPIE Journal Paper | 21 May 2020 Open Access

Indocyanine green matching phantom for fluorescence-guided surgery imaging system characterization and performance assessment

Alberto Ruiz, Mindy Wu, Ethan Philip LaRochelle, Dimitris Gorpas, Vasilis Ntziachristos, T. Joshua Pfefer, Brian Pogue

JBO, Vol. 25, Issue 05, 056003, (May 2020) https://doi.org/10.1117/12.10.1117/1.JBO.25.5.056003

KEYWORDS: Imaging systems, Luminescence, Manufacturing, Surgery, Image resolution, Indocyanine green, Tissues, Polyurethane, 3D imaging standards, Standards development

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Significance: Expanded use of fluorescence-guided surgery with devices approved for use with indocyanine green (ICG) has led to a range of commercial systems available. There is a compelling need to be able to independently characterize system performance and allow for cross-system comparisons. Aim: The goal of this work is to expand on previous proposed fluorescence imaging standard designs to develop a long-term stable phantom that spectrally matches ICG characteristics and utilizes 3D printing technology for incorporating tissue-equivalent materials. Approach: A batch of test targets was created to assess ICG concentration sensitivity in the 0.3- to 1000-nM range, tissue-equivalent depth sensitivity down to 6 mm, and spatial resolution with a USAF test chart. Comparisons were completed with a range of systems that have significantly different imaging capabilities and applications, including the Li-Cor® Odyssey, Li-Cor® Pearl, PerkinElmer® Solaris, and Stryker® Spy Elite. Results: Imaging of the ICG-matching phantoms with all four commercially available systems showed the ability to benchmark system performance and allow for cross-system comparisons. The fluorescence tests were able to assess differences in the detectable concentrations of ICG with sensitivity differences >10× for preclinical and clinical systems. Furthermore, the tests successfully assessed system differences in the depth-signal decay rate, as well as resolution performance and image artifacts. The manufacturing variations, photostability, and mechanical design of the tests showed promise in providing long-term stable standards for fluorescence imaging. Conclusions: The presented ICG-matching phantom provides a major step toward standardizing performance characterization and cross-system comparisons for devices approved for use with ICG. The developed hybrid manufacturing platform can incorporate long-term stable fluorescing agents with 3D printed tissue-equivalent material. Further, long-term testing of the phantom and refinements to the manufacturing process are necessary for future implementation as a widely adopted fluorescence imaging standard.

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Proceedings Article | 10 March 2020 Presentation

Indocyanine-green matching phantom for fluorescence-guided imaging system characterization and performance monitoring (Conference Presentation)

Alberto Ruiz, Brian Pogue, Ethan P. LaRochelle, Mindy Wu, Dimitris Gorpas, Vasilis Ntziachristos, Joshua Pfefer

Proceedings Volume 11222, 112220D (2020) https://doi.org/10.1117/12.2547056

KEYWORDS: Luminescence, Standards development, Imaging systems, Tissues, Manufacturing, 3D printing, Visualization, Fluorescent markers, Cancer, 3D imaging standards

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Proceedings Article | 22 July 2019 Paper

Standardization phantom for intra-operative fluorescence molecular imaging

Dimitris Gorpas, Maria Anastasopoulou, Maximilian Koch, Uwe Klemm, Markus Nieberler, Vasilis Ntziachristos

Proceedings Volume 11079, 1107913 (2019) https://doi.org/10.1117/12.2530283

KEYWORDS: Luminescence, Imaging systems, Molecular imaging, Image segmentation, Signal to noise ratio, Composites, Optical properties, Optical resolution, Calibration, Image quality

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Proceedings Article | 24 May 2018 Paper

Phantom and methodology for fluorescence molecular imaging systems benchmarking

M. Koch, M. Anastasopoulou, U. Klemm, V. Ntziachristos, D. Gorpas

Proceedings Volume 10677, 106771G (2018) https://doi.org/10.1117/12.2309766

KEYWORDS: Cameras, Luminescence, Imaging systems, Optical properties, Molecular imaging, Composites, Calibration, Image segmentation, Image resolution, Optical imaging

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Proceedings Article | 1 August 2017 Paper

Intravascular optoacoustic catheter with extended sensitivity field

Dmitry Bozhko, Farouc Jaffer, Vasilis Ntziachristos, Dimitris Gorpas

Proceedings Volume 10415, 1041502 (2017) https://doi.org/10.1117/12.2286052

KEYWORDS: Intravascular ultrasound, Photoacoustic imaging, Photoacoustic tomography, Fluorescence tomography

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Proceedings Article | 28 July 2017 Paper

Multiparameter solid phantom for fluorescence imaging standardization

Maria Anastasopoulou, Maximilian Koch, Vasilis Ntziachristos, Dimitris Gorpas, Pilar Beatriz Garcia-Allende, Uwe Klemm, Angelos Karlas

Proceedings Volume 10411, 104110J (2017) https://doi.org/10.1117/12.2286059

KEYWORDS: Luminescence, Solids, Polyurethane

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Proceedings Article | 28 July 2017 Paper

Standardization of fluorescence molecular imaging systems

Dimitris Gorpas, Maximilian Koch, Uwe Klemm, Vasilis Ntziachristos, Maria Anastasopoulou

Proceedings Volume 10413, 104130J (2017) https://doi.org/10.1117/12.2286065

KEYWORDS: Luminescence, Molecular imaging, Imaging systems

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Proceedings Article | 19 April 2017 Presentation

Breast cancer margin delineation with fluorescence lifetime imaging (Conference Presentation)

Jennifer Phipps, Dimitris Gorpas, Morgan Darrow, Jakob Unger, Richard Bold, Laura Marcu

Proceedings Volume 10043, 100430C (2017) https://doi.org/10.1117/12.2253211

KEYWORDS: Tumors, Imaging systems, Tissues, Breast cancer, Fluorescence lifetime imaging, Cancer, Breast, Luminescence, Surgery, Collagen

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Proceedings Article | 19 April 2017 Presentation

Autofluorescence lifetime imaging during transoral robotic surgery: a clinical validation study of tumor detection (Conference Presentation)

João Lagarto, Jennifer Phipps, Jakob Unger, Leta Faller, Dimitris Gorpas, Dinglong Ma, Julien Bec, Michael Moore, Arnaud Bewley, Diego Yankelevich, Jonathan Sorger, Gregory Farwell, Laura Marcu

Proceedings Volume 10039, 100390E (2017) https://doi.org/10.1117/12.2253226

KEYWORDS: Tumors, Imaging systems, Biological detection systems, Tissues, In vivo imaging, Robotic surgery, Fiber optics, Surgery, Spectroscopes, Fiber optics tests

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SPIE Journal Paper | 12 January 2017 Open Access

Benchmarking of fluorescence cameras through the use of a composite phantom

Dimitris Gorpas, Maximilian Koch, Maria Anastasopoulou, Uwe Klemm, Vasilis Ntziachristos

JBO, Vol. 22, Issue 01, 016009, (January 2017) https://doi.org/10.1117/12.10.1117/1.JBO.22.1.016009

KEYWORDS: Cameras, Luminescence, Imaging systems, Signal to noise ratio, Composites, Optical properties, Reflectivity, Image resolution, Scattering, Optical filters

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SPIE Journal Paper | 15 June 2016 Open Access

Comprehensive phantom for interventional fluorescence molecular imaging

Maria Anastasopoulou, Maximilian Koch, Dimitris Gorpas, Angelos Karlas, Uwe Klemm, Pilar Beatriz Garcia-Allende, Vasilis Ntziachristos

JBO, Vol. 21, Issue 09, 091309, (June 2016) https://doi.org/10.1117/12.10.1117/1.JBO.21.9.091309

KEYWORDS: Luminescence, Cameras, Imaging systems, Optical properties, Molecular imaging, Polyurethane, Tissues, Scattering, Visualization, Tissue optics

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Proceedings Article | 27 April 2016 Presentation

Support vector machine based classification and mapping of atherosclerotic plaques using fluorescence lifetime imaging (Conference Presentation)

Hussain Fatakdawala, Dimitris Gorpas, Julien Bec, Dinglong Ma, Diego Yankelevich, Laura Marcu, John Bishop

Proceedings Volume 9689, 968934 (2016) https://doi.org/10.1117/12.2214028

KEYWORDS: Fluorescence lifetime imaging, Data modeling, Data acquisition, Classification systems, Tissues, Clinical research, Animal model studies, Library classification systems, Diagnostics, Current controlled current source

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Proceedings Article | 13 April 2016 Presentation + Paper

Online multispectral fluorescence lifetime values estimation and overlay onto tissue white-light video frames

Dimitris Gorpas, Dinglong Ma, Julien Bec, Diego Yankelevich, Laura Marcu

Proceedings Volume 9696, 969609 (2016) https://doi.org/10.1117/12.2213895

KEYWORDS: Luminescence, Tissues, Image segmentation, Video, Fluorescence lifetime imaging, Augmented reality, Real time imaging, Data acquisition, RGB color model, Tissue optics, Time resolved spectroscopy, Cameras, Raster graphics

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Proceedings Article | 12 March 2015 Paper

Fluorescence lifetime spectroscopy for breast cancer margins assessment

Dimitris Gorpas, Hussain Fatakdawala, Yanhong Zhang, Richard Bold, Laura Marcu

Proceedings Volume 9318, 93180B (2015) https://doi.org/10.1117/12.2079622

KEYWORDS: Tissues, Fourier transforms, Luminescence, Breast cancer, Surgery, Breast, Collagen, Fluorescence spectroscopy, Spectroscopy, Tumors

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Proceedings Article | 26 February 2015 Paper

In-vivo validation of fluorescence lifetime imaging (FLIm) of coronary arteries in swine

Julien Bec, Dinglong Ma, Diego Yankelevich, Dimitris Gorpas, William Ferrier, Jeffrey Southard, Laura Marcu

Proceedings Volume 9303, 93033M (2015) https://doi.org/10.1117/12.2079833

KEYWORDS: In vivo imaging, Imaging systems, Luminescence, Data acquisition, Arteries, Francium, Fluorescence lifetime imaging, Optical fibers, Blood, Fluorescent markers

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SPIE Journal Paper | 4 June 2014 Open Access

Rotational multispectral fluorescence lifetime imaging and intravascular ultrasound: bimodal system for intravascular applications

Dinglong Ma, Julien Bec, Diego Yankelevich, Dimitris Gorpas, Hussain Fatakdawala, Laura Marcu

JBO, Vol. 19, Issue 06, 066004, (June 2014) https://doi.org/10.1117/12.10.1117/1.JBO.19.6.066004

KEYWORDS: Intravascular ultrasound, Luminescence, Imaging systems, Arteries, Data acquisition, Signal to noise ratio, Multispectral imaging, Fiber optics, Fluorescence lifetime imaging, Transducers

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Proceedings Article | 4 March 2014 Paper

Bi-modal imaging of atherosclerotic plaques: Automated method for co-registration between fluorescence lifetime imaging and intravascular ultrasound data

John Bishop, Dimitris Gorpas, Hussain Fatakdawala, Julien Bec, Dinglong Ma, Diego Yankelevich, Jinyi Qi, Laura Marcu

Proceedings Volume 8926, 892638 (2014) https://doi.org/10.1117/12.2040311

KEYWORDS: Intravascular ultrasound, Image segmentation, Luminescence, Image processing, Data acquisition, Fluorescence lifetime imaging, Image restoration, Image registration, Image filtering, Arteries

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Proceedings Article | 24 May 2013 Paper

Miniature photometric stereo system for textile surface structure reconstruction

Christos Kampouris, Dimitris Gorpas, Sotiris Malassiotis

Proceedings Volume 8791, 879117 (2013) https://doi.org/10.1117/12.2018913

KEYWORDS: Cameras, Light emitting diodes, Clouds, Inspection, Prototyping, Sensors, Robotic systems, Telecommunications, 3D acquisition, Light sources and illumination

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SPIE Journal Paper | 3 December 2012 Open Access

Evaluation of a radiative transfer equation and diffusion approximation hybrid forward solver for fluorescence molecular imaging

Dimitris Gorpas, Stefan Andersson-Engels

JBO, Vol. 17, Issue 12, 126010, (December 2012) https://doi.org/10.1117/12.10.1117/1.JBO.17.12.126010

KEYWORDS: Radiative transfer, Diffusion, Monte Carlo methods, Luminescence, 3D modeling, Molecular imaging, Chemical elements, Phase shifts, Modulation, Optical properties

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Proceedings Article | 29 February 2012 Paper

Combined three-dimensional computer vision and epi-illumination fluorescence imaging system

Dido Yova, Kostas Politopoulos, Dimitris Gorpas

Proceedings Volume 8216, 82160N (2012) https://doi.org/10.1117/12.907786

KEYWORDS: Imaging systems, Luminescence, Cameras, Calibration, Inspection, 3D image processing, Machine vision, Image segmentation, Tissues, Structured light

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Proceedings Article | 14 February 2012 Paper

Dual coupled radiative transfer equation and diffusion approximation for the solution of the forward problem in fluorescence molecular imaging

Dimitris Gorpas, Stefan Andersson-Engels

Proceedings Volume 8225, 822522 (2012) https://doi.org/10.1117/12.907811

KEYWORDS: Radiative transfer, Diffusion, Luminescence, 3D modeling, Chemical elements, Molecular imaging, Tissues, Matrices, Scattering, Absorption

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Proceedings Article | 8 July 2009 Paper

New approach in prostate Gleason grading using fluorescence microscopic imaging

Dimitris Gorpas, Dido Yova, Eleni Alexandratou

Proceedings Volume 7368, 73681J (2009) https://doi.org/10.1117/12.831584

KEYWORDS: Prostate cancer, Tissues, Confocal microscopy, Algorithm development, Prostate, Luminescence, Image analysis, Biopsy, Image processing, Tumors

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Proceedings Article | 1 July 2009 Paper

Image segmentation for biomedical applications based on alternating sequential filtering and watershed transformation

D. Yova, D. Gorpas

Proceedings Volume 7370, 73700F (2009) https://doi.org/10.1117/12.831715

KEYWORDS: Image segmentation, Image processing algorithms and systems, Image processing, Image filtering, Biomedical optics, Algorithm development, Microscopy, Detection and tracking algorithms, Optical imaging, Tissue optics

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Proceedings Article | 20 February 2009 Paper

A coupled radiative transfer and diffusion approximation model for the solution of the forward problem and the a-priori fluorophore distribution estimation in fluorescence imaging

D. Yova, K. Politopoulos, D. Gorpas

Proceedings Volume 7171, 71710A (2009) https://doi.org/10.1117/12.808116

KEYWORDS: Luminescence, 3D modeling, Image segmentation, Chemical elements, Diffusion, Imaging systems, Molecular imaging, Radiative transfer, Scattering, Tissues

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Proceedings Article | 3 February 2009 Paper

A new morphological segmentation algorithm for biomedical imaging applications

D. Gorpas, P. Maragos, D. Yova

Proceedings Volume 7251, 72510C (2009) https://doi.org/10.1117/12.805574

KEYWORDS: Image segmentation, Image processing algorithms and systems, Image processing, Biomedical optics, Image filtering, Machine vision, Computer vision technology, RGB color model, Detection and tracking algorithms, Tissues

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Proceedings Article | 29 February 2008 Paper

Data fitting and image fine-tuning approach to solve the inverse problem in fluorescence molecular imaging

Dido Yova, Dimitris Gorpas, Stefan Andersson-Engels, Kostas Politopoulos

Proceedings Volume 6859, 68591H (2008) https://doi.org/10.1117/12.762968

KEYWORDS: Luminescence, Image processing, Databases, Data modeling, Inverse problems, Chemical elements, Molecular imaging, Diffusion, Image segmentation, Radiative transfer

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Proceedings Article | 28 February 2008 Paper

Texture analysis of tissues in Gleason grading of prostate cancer

Nikolaos Kavantzas, Petros Maragos, George Agrogiannis, Dimitris Gorpas, Eleni Alexandratou, Dido Yova

Proceedings Volume 6859, 685904 (2008) https://doi.org/10.1117/12.763377

KEYWORDS: Prostate cancer, Tissues, Statistical analysis, Biopsy, Algorithm development, Tumors, Cancer, Image analysis, Image classification, Feature selection

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Prostate cancer is a common malignancy among maturing men and the second leading cause of cancer death in USA. Histopathological grading of prostate cancer is based on tissue structural abnormalities. Gleason grading system is the gold standard and is based on the organization features of prostatic glands. Although Gleason score has contributed on cancer prognosis and on treatment planning, its accuracy is about 58%, with this percentage to be lower in GG2, GG3 and GG5 grading. On the other hand it is strongly affected by "inter- and intra observer variations", making the whole process very subjective. Therefore, there is need for the development of grading tools based on imaging and computer vision techniques for a more accurate prostate cancer prognosis. The aim of this paper is the development of a novel method for objective grading of biopsy specimen in order to support histopathological prognosis of the tumor. This new method is based on texture analysis techniques, and particularly on Gray Level Co-occurrence Matrix (GLCM) that estimates image properties related to second order statistics. Histopathological images of prostate cancer, from Gleason grade2 to Gleason grade 5, were acquired and subjected to image texture analysis. Thirteen texture characteristics were calculated from this matrix as they were proposed by Haralick. Using stepwise variable selection, a subset of four characteristics were selected and used for the description and classification of each image field. The selected characteristics profile was used for grading the specimen with the multiparameter statistical method of multiple logistic discrimination analysis. The subset of these characteristics provided 87% correct grading of the specimens. The addition of any of the remaining characteristics did not improve significantly the diagnostic ability of the method. This study demonstrated that texture analysis techniques could provide valuable grading decision support to the pathologists, concerning prostate cancer prognosis.

Proceedings Article | 12 July 2007 Paper

Development of a computer vision binocular system for non-contact small animal model skin cancer tumour imaging

Dimitris Gorpas, Kostas Politopoulos, Dido Yova

Proceedings Volume 6629, 66291J (2007) https://doi.org/10.1117/12.728398

KEYWORDS: Cameras, Calibration, Imaging systems, Lenses, Photodynamic therapy, 3D modeling, Animal model studies, Image segmentation, Computing systems, Structured light

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Proceedings Article | 13 February 2006 Paper

A binocular machine vision system for non-melanoma skin cancer 3D reconstruction

Kostas Politopoulos, Dimitris Gorpas, Dido Yova, Eleni Alexandratou

Proceedings Volume 6081, 60810D (2006) https://doi.org/10.1117/12.643780

KEYWORDS: Cameras, Calibration, Tumors, 3D modeling, Machine vision, Lenses, Distortion, Imaging systems, Animal model studies, 3D image processing

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Proceedings Article | 8 October 2005 Paper

Kubelka-Munk theory based diagnostic algorithms to discriminate healthy and atherosclerotic animal model aorta

Kostas Politopoulos, Dimitris Gorpas, Eleni Alexandratou, Dido Yova

Proceedings Volume 5862, 586212 (2005) https://doi.org/10.1117/12.633043

KEYWORDS: Reflectivity, Diagnostics, Absorption, Algorithm development, Scattering, Diffuse reflectance spectroscopy, Animal model studies, Transmittance, Optical properties, Statistical analysis

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Showing 5 of 36 publications

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