Dr. Giovanni Jacopo J. Ughi Profile

Dr. Giovanni Jacopo J. Ughi

Sr. Director, Adv. Develop & Software Engineering

SPIE Involvement:

Author

Area of Expertise:

Fluorescence imaging , Optical coherence tomography , Multi-modality OCT , Intravascular imaging , Image Processing , Signal Processing

Proceedings Article | 27 April 2016 Presentation

Compensation of spectral artifacts in dual-modality intravascular optical coherence tomography and near-infrared spectroscopy (Conference Presentation)

Ali Fard, Joseph Gardecki, Giovanni Ughi, Chulho Hyun, Guillermo Tearney

Proceedings Volume 9689, 96892Z (2016) https://doi.org/10.1117/12.2219948

KEYWORDS: Near infrared spectroscopy, Optical coherence tomography, Light sources, Arteries, 3D image processing, In vivo imaging, Imaging technologies, Reliability, Data acquisition, Spectral calibration

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Intravascular optical coherence tomography (OCT) is a high-resolution catheter-based imaging method that provides three-dimensional microscopic images of coronary artery in vivo, facilitating coronary artery disease treatment decisions based on detailed morphology. Near-infrared spectroscopy (NIRS) has proven to be a powerful tool for identification of lipid-rich plaques inside the coronary walls. We have recently demonstrated a dual-modality intravascular imaging technology that integrates OCT and NIRS into one imaging catheter using a two-fiber arrangement and a custom-made dual-channel fiber rotary junction. It therefore enables simultaneous acquisition of microstructural and composition information at 100 frames/second for improved diagnosis of coronary lesions. The dual-modality OCT-NIRS system employs a single wavelength-swept light source for both OCT and NIRS modalities. It subsequently uses a high-speed photoreceiver to detect the NIRS spectrum in the time domain. Although use of one light source greatly simplifies the system configuration, such light source exhibits pulse-to-pulse wavelength and intensity variation due to mechanical scanning of the wavelength. This can be in particular problematic for NIRS modality and sacrifices the reliability of the acquired spectra. In order to address this challenge, here we developed a robust data acquisition and processing method that compensates for the spectral variations of the wavelength-swept light source. The proposed method extracts the properties of the light source, i.e., variation period and amplitude from a reference spectrum and subsequently calibrates the NIRS datasets. We have applied this method on datasets obtained from cadaver human coronary arteries using a polygon-scanning (1230-1350nm) OCT system, operating at 100,000 sweeps per second. The results suggest that our algorithm accurately and robustly compensates the spectral variations and visualizes the dual-modality OCT-NIRS images. These findings are therefore crucial for the practical application and clinical translation of dual-modality intravascular OCT-NIRS imaging when the same swept sources are used for both OCT and spectroscopy.

SPIE Journal Paper | 24 July 2013 Open Access

Automatic characterization of neointimal tissue by intravascular optical coherence tomography

Giovanni Ughi, Kristin Steigerwald, Tom Adriaenssens, Walter Desmet, Giulio Guagliumi, Michael Joner, Jan D'Hooge

JBO, Vol. 19, Issue 02, 021104, (July 2013) https://doi.org/10.1117/12.10.1117/1.JBO.19.2.021104

KEYWORDS: Tissues, Tissue optics, Image classification, Statistical analysis, Optical coherence tomography, Analytical research, Algorithm development, Biological research, Image segmentation, Feature selection

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SPIE Journal Paper | 6 April 2012 Open Access

Errata: Automatic three-dimensional registration of intravascular optical coherence tomography images

Giovanni Ughi, Matilda Larsson, Christophe Dubois, Peter Sinnaeve, Walter Desmet, Jan D'Hooge, Tom Adriaenssens, Mark Coosemans

JBO, Vol. 17, Issue 04, 049803, (April 2012) https://doi.org/10.1117/12.10.1117/1.JBO.17.4.049803

KEYWORDS: 3D image processing, Image registration, Optical coherence tomography, Biomedical optics

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SPIE Journal Paper | 5 March 2012 Open Access

Automatic three-dimensional registration of intravascular optical coherence tomography images

Giovanni Ughi, Matilda Larsson, Christophe Dubois, Peter Sinnaeve, Walter Desmet, Jan D'Hooge, Tom Adriaenssens, Mark Coosemans

JBO, Vol. 17, Issue 02, 026005, (March 2012) https://doi.org/10.1117/12.10.1117/1.JBO.17.2.026005

KEYWORDS: Image registration, In vivo imaging, Data modeling, 3D modeling, Image segmentation, Optical coherence tomography, In vitro testing, Algorithm development, 3D image processing, Visualization

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Proceedings Article | 30 January 2012 Paper

Automatic three-dimensional registration of intra-vascular optical coherence tomography images for the clinical evaluation of stent implantation over time

Giovanni Ughi, Tom Adriaenssens, Matilda Larsson, Christophe Dubois, Peter Sinnaeve, Mark Coosemans, Walter Desmet, Jan D'hooghe

Proceedings Volume 8213, 82132K (2012) https://doi.org/10.1117/12.910597

KEYWORDS: Image registration, Data modeling, 3D modeling, Optical coherence tomography, In vivo imaging, Image segmentation, Data acquisition, In vitro testing, 3D image processing, Visualization

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Proceedings Article | 1 June 2011 Paper

Automated volumetric stent analysis of in-vivo intracoronary optical coherence tomography three-dimensional datasets

Giovanni Ughi, Tom Adriaenssens, Kevin Onsea, Christophe Dubois, Mark Coosemans, Peter Sinnaeve, Walter Desmet, Jan D'hooge

Proceedings Volume 8091, 809110 (2011) https://doi.org/10.1117/12.889637

KEYWORDS: Image segmentation, Optical coherence tomography, In vivo imaging, Image analysis, Tissues, Statistical analysis, Natural surfaces, 3D modeling, Image processing, Arteries

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Proceedings Article | 12 February 2011 Paper

Automated stent strut coverage and apposition analysis of in-vivo intra coronary optical coherence tomography images

Giovanni Ughi, Tom Adriaenssens, Kevin Onsea, Peter Kayaert, Christophe Dubois, Mark Coosemans, Peter Sinnaeve, Walter Desmet, Jan D'hooge

Proceedings Volume 7889, 78890O (2011) https://doi.org/10.1117/12.874612

KEYWORDS: Image segmentation, Optical coherence tomography, In vivo imaging, Arteries, Image analysis, Tissues, Image processing algorithms and systems, Blood, Human-machine interfaces, Clinical trials

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Showing 5 of 7 publications

Conference Committee Involvement (1)

SPIE Photonics West 2013, OCT Stent Analysis

1 February 2012 |

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