Mr. Luigi Belcastro Profile

Luigi Belcastro

at Stony Brook Univ

SPIE Involvement:

Author

Area of Expertise:

Biomedical Optics , Spectroscopy , Monte Carlo simulations , Sensors , Medical Imaging , Data Processing

Websites:

Company Website

Luigi Belcastro studied biomedical engineering at the Polytechnic University of Turin (Italy), where he got his MSc in 2018 with a specialization in medical imaging and data processing. As a part of his thesis work, he did a 6 months internship at Imperial College (London) where he conducted a finite elements simulation study of the effects of high-frequency electromagnetic waves on nerve tissue. He is currently employed as a PhD student at Linköping University (Sweden) at the department of biomedical engineering, working with the Biomedical Optics research group. His current research involves spectral imaging techniques for diagnosis of skin conditions, such as burn wounds, and development of models for light scattering in tissue.

SPIE Journal Paper | 22 April 2024 Open Access

Multi-frequency spatial frequency domain imaging: a depth-resolved optical scattering model to isolate scattering contrast in thin layers of skin

Luigi Belcastro, Hanna Jonasson, Rolf Saager

JBO, Vol. 29, Issue 04, 046003, (April 2024) https://doi.org/10.1117/12.10.1117/1.JBO.29.4.046003

KEYWORDS: Scattering, Analytic models, Data modeling, Light scattering, Spatial frequencies, Tissues, Performance modeling, Optical properties, Biomedical optics, Wound healing

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Proceedings Article | 14 March 2023 Presentation + Paper

Beneath the skin: multi-frequency SFDI to detect thin layers of skin using light scattering

Luigi Belcastro, Hanna Jonasson, Tomas Strömberg, Ahmed Elserafy, Rolf Saager

Proceedings Volume 12352, 1235209 (2023) https://doi.org/10.1117/12.2648545

KEYWORDS: Analytic models, Light scattering, Tissues, Scattering, Data modeling, Optical properties, Spatial frequencies, Skin, Wound healing, Photons

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Proceedings Article | 5 March 2021 Presentation

Evaluation of cell therapy for burn wound using spatial frequency domain imaging

Luigi Belcastro, Hanna Jonasson, Tomas Strömberg, Ahmed Elserafi, Rolf Saager

Proceedings Volume 11618, 116180F (2021) https://doi.org/10.1117/12.2577192

KEYWORDS: Scattering, Tissues, Skin, Light scattering, Wound healing, Stem cells, Spatial frequencies, Particles, Collagen

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SPIE Journal Paper | 4 August 2020 Open Access

Handheld multispectral imager for quantitative skin assessment in low-resource settings

Luigi Belcastro, Hanna Jonasson, Tomas Strömberg, Rolf Saager

JBO, Vol. 25, Issue 08, 082702, (August 2020) https://doi.org/10.1117/12.10.1117/1.JBO.25.8.082702

KEYWORDS: Cameras, Imaging systems, Skin, Calibration, Tissue optics, RGB color model, Light emitting diodes, Projection systems, Multispectral imaging

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Significance: Spatial frequency domain imaging (SFDI) is a quantitative imaging method to measure absorption and scattering of tissue, from which several chromophore concentrations (e.g., oxy-/deoxy-/meth-hemoglobin, melanin, and carotenoids) can be calculated. Employing a method to extract additional spectral bands from RGB components (that we named cross-channels), we designed a handheld SFDI device to account for these pigments, using low-cost, consumer-grade components for its implementation and characterization. Aim: With only three broad spectral bands (red, green, blue, or RGB), consumer-grade devices are often too limited. We present a methodology to increase the number of spectral bands in SFDI devices that use RGB components without hardware modification. Approach: We developed a compact low-cost RGB spectral imager using a color CMOS camera and LED-based mini projector. The components’ spectral properties were characterized and additional cross-channel bands were calculated. An alternative characterization procedure was also developed that makes use of low-cost equipment, and its results were compared. The device performance was evaluated by measurements on tissue-simulating optical phantoms and in-vivo tissue. The measurements were compared with another quantitative spectroscopy method: spatial frequency domain spectroscopy (SFDS). Results: Out of six possible cross-channel bands, two were evaluated to be suitable for our application and were fully characterized (520 ± 20 nm; 556 ± 18 nm). The other four cross-channels presented a too low signal-to-noise ratio for this implementation. In estimating the optical properties of optical phantoms, the SFDI data have a strong linear correlation with the SFDS data (R2 = 0.987, RMSE = 0.006 for μa, R2 = 0.994, RMSE = 0.078 for μs′). Conclusions: We extracted two additional spectral bands from a commercial RGB system at no cost. There was good agreement between our device and the research-grade SFDS system. The alternative characterization procedure we have presented allowed us to measure the spectral features of the system with an accuracy comparable to standard laboratory equipment.

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Proceedings Article | 9 March 2020 Presentation

Low cost handheld spectral imager for rapid skin assessment in low resource settings (Conference Presentation)

Luigi Belcastro, Hanna Jonasson, Tomas Strömberg, Rolf Saager

Proceedings Volume 11230, 1123002 (2020) https://doi.org/10.1117/12.2543701

KEYWORDS: Skin, Imaging systems, Tissue optics, Tissues, Imaging spectroscopy, Optical properties, Reflectivity, Biological research, Absorption, CMOS cameras

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