Dr. Subhasri Chatterjee Profile

Dr. Subhasri Chatterjee

Researcher at City St George’s, Univ. of London

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Publications (5)

SPIE Journal Paper | 28 February 2020 Open Access

In silico and in vivo investigations using an endocavitary photoplethysmography sensor for tissue viability monitoring

Subhasri Chatterjee, Zaibaa Patel, Mohamed A. Thaha, Panayiotis Kyriacou

JBO, Vol. 25, Issue 02, 027001, (February 2020) https://doi.org/10.1117/12.10.1117/1.JBO.25.2.027001

KEYWORDS: Sensors, Tissue optics, Tissues, Photons, Monte Carlo methods, Blood, In vivo imaging, Oxygen, Photoplethysmography, Infrared radiation

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Significance: Colorectal cancer is one of the major causes of cancer-related deaths worldwide. Surgical removal of the cancerous growth is the primary treatment for this disease. A colorectal cancer surgery, however, is often unsuccessful due to the anastomotic failure that may occur following the surgical incision. Prevention of an anastomotic failure requires continuous monitoring of intestinal tissue viability during and after colorectal surgery. To date, no clinical technology exists for the dynamic and continuous monitoring of the intestinal perfusion. Aim: A dual-wavelength indwelling bowel photoplethysmography (PPG) sensor for the continuous monitoring of intestinal viability was proposed and characterized through a set of in silico and in vivo investigations. Approach: The in silico investigation was based on a Monte Carlo model that was executed to quantify the variables such as penetration depth and detected intensity with respect to the sensor–tissue separations and tissue perfusion. Utilizing the simulated information, an indwelling reflectance PPG sensor was designed and tested on 20 healthy volunteers. Two sets of in vivo studies were performed using the driving current intensities 20 and 40 mA for a comparative analysis, using buccal tissue as a proxy tissue-site. Results: Both simulated and experimental results showed the efficacy of the sensor to acquire good signals through the “contact” to a “noncontact” separation of 5 mm. A very slow wavelength-dependent variation was shown in the detected intensity at the normal and hypoxic states of the tissue, whereas a decay in the intensity was found with the increasing submucosal-blood volume. The simulated detected-to-incident-photon-ratio and the experimental signal-to-noise ratio exhibited strong positive correlations, with the Pearson product-moment correlation coefficient R ranging between 0.65 and 0.87. Conclusions: The detailed feasibility analysis presented will lead to clinical trials utilizing the proposed sensor.

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SPIE Journal Paper | 11 July 2018 Open Access

Investigating optical path and differential pathlength factor in reflectance photoplethysmography for the assessment of perfusion

Subhasri Chatterjee, Tomas Ysehak Abay, Justin Paul Phillips, Panayiotis Kyriacou

JBO, Vol. 23, Issue 07, 075005, (July 2018) https://doi.org/10.1117/12.10.1117/1.JBO.23.7.075005

KEYWORDS: Tissue optics, Tissues, Infrared radiation, Near infrared spectroscopy, Reflectivity, Blood, Scattering, Monte Carlo methods, Sensors, Geometrical optics

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Proceedings Article | 28 July 2017 Paper

Investigating optical path in reflectance pulse oximetry using a multilayer Monte Carlo model

S. Chatterjee, J. Phillips, P. Kyriacou

Proceedings Volume 10411, 1041106 (2017) https://doi.org/10.1117/12.2281612

KEYWORDS: Reflectivity, Oximetry, Monte Carlo methods, Photon transport, Scattering

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Proceedings Article | 8 May 2014 Paper

Fractal anisotropy in tissue refractive index fluctuations: potential role in precancer detection

Nandan Kumar Das, Subhasri Chatterjee, Semanti Chakraborty, P. Panigrahi, A. Pradhan, N. Ghosh

Proceedings Volume 9129, 91290V (2014) https://doi.org/10.1117/12.2051964

KEYWORDS: Tissues, Refractive index, Anisotropy, Digital image correlation, Cervical cancer, Fractal analysis, Cancer, Statistical analysis, Optical filters, Biological research

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Proceedings Article | 26 February 2013 Paper

Probing multi-scale self-similarity of tissue structures using light scattering spectroscopy: prospects in pre-cancer detection

Subhasri Chatterjee, Nandan Das, Satish Kumar, Sonali Mohapatra, Asima Pradhan, Prasanta Panigrahi, Nirmalya Ghosh

Proceedings Volume 8699, 86990D (2013) https://doi.org/10.1117/12.2016849

KEYWORDS: Light scattering, Scattering, Refractive index, Tissues, Fractal analysis, Tissue optics, Connective tissue, Correlation function, Spectroscopy, Statistical analysis

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