Mr. Carlos Dorronsoro Profile

Carlos Dorronsoro

Scientist & Technology Transfer Expert at Consejo Superior de Investigaciones Científicas

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Publications (5)

Proceedings Article | 26 February 2014 Paper

Corneal biomechanical properties from air-puff corneal deformation imaging

Susana Marcos, Sabine Kling, Nandor Bekesi, Carlos Dorronsoro

Proceedings Volume 8946, 894609 (2014) https://doi.org/10.1117/12.2047290

KEYWORDS: Cornea, In vivo imaging, Eye, Optical coherence tomography, Imaging systems, Finite element methods, Tissues, Tissue optics, Mercury, Ultraviolet radiation

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The combination of air-puff systems with real-time corneal imaging (i.e. Optical Coherence Tomography (OCT), or Scheimpflug) is a promising approach to assess the dynamic biomechanical properties of the corneal tissue in vivo. In this study we present an experimental system which, together with finite element modeling, allows measurements of corneal biomechanical properties from corneal deformation imaging, both ex vivo and in vivo. A spectral OCT instrument combined with an air puff from a non-contact tonometer in a non-collinear configuration was used to image the corneal deformation over full corneal cross-sections, as well as to obtain high speed measurements of the temporal deformation of the corneal apex. Quantitative analysis allows direct extraction of several deformation parameters, such as apex indentation across time, maximal indentation depth, temporal symmetry and peak distance at maximal deformation. The potential of the technique is demonstrated and compared to air-puff imaging with Scheimpflug. Measurements ex vivo were performed on 14 freshly enucleated porcine eyes and five human donor eyes. Measurements in vivo were performed on nine human eyes. Corneal deformation was studied as a function of Intraocular Pressure (IOP, 15-45 mmHg), dehydration, changes in corneal rigidity (produced by UV corneal cross-linking, CXL), and different boundary conditions (sclera, ocular muscles). Geometrical deformation parameters were used as input for inverse finite element simulation to retrieve the corneal dynamic elastic and viscoelastic parameters. Temporal and spatial deformation profiles were very sensitive to the IOP. CXL produced a significant reduction of the cornea indentation (1.41x), and a change in the temporal symmetry of the corneal deformation profile (1.65x), indicating a change in the viscoelastic properties with treatment. Combining air-puff with dynamic imaging and finite element modeling allows characterizing the corneal biomechanics in-vivo.

Proceedings Article | 8 October 2007 Paper

Low-cost wavefront coding using coma and a denoising-based deconvolution

Carlos Dorronsoro, Jose Guerrero-Colon, Marta de la Fuente, Jose Infante, Javier Portilla

Proceedings Volume 6737, 67370E (2007) https://doi.org/10.1117/12.738279

KEYWORDS: Point spread functions, Infrared imaging, Image quality, Sensors, Infrared cameras, Monochromatic aberrations, Cameras, Image restoration, Deconvolution, Wavefronts

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Proceedings Article | 21 October 2005 Paper

A decision support system for ship identification based on the curvature scale space representation

Álvaro Enríquez de Luna, Carlos Miravet, Deitze Otaduy, Carlos Dorronsoro

Proceedings Volume 5988, 59880K (2005) https://doi.org/10.1117/12.630532

KEYWORDS: Databases, Visualization, Image processing, Image sensors, Decision support systems, Image filtering, System identification, Visual process modeling, Sensors, Target recognition

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Proceedings Article | 12 October 2005 Paper

Simulated intensified images

Carlos Dorronsoro, Deitze Otaduy, Yolanda Navarro, Javier Portilla

Proceedings Volume 5987, 59870D (2005) https://doi.org/10.1117/12.630665

KEYWORDS: Modulation transfer functions, Signal to noise ratio, Image intensifiers, Electrons, Visualization, Photons, Image processing, Cameras, Transmittance, Night vision

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Proceedings Article | 6 December 2004 Paper

Optimum parameters in image intensifier MTF measurements

Sergio Ortiz, Deitze Otaduy, Carlos Dorronsoro

Proceedings Volume 5612, (2004) https://doi.org/10.1117/12.578066

KEYWORDS: Modulation transfer functions, Image intensifiers, Cameras, Contrast transfer function, Image quality standards, Algorithm development, Imaging systems, Dielectrophoresis, Image quality, Detection and tracking algorithms

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