Dr. Xiuting Li Profile

Dr. Xiuting Li

at Singapore Bioimaging Consortium

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Publications (4)

Proceedings Article | 4 March 2022 Presentation + Paper

Assessment of oxygen saturation in microvasculature of atopic dermatitis patients using multispectral optoacoustic mesoscopy

Mohesh Moothanchery, Amalina Binte Ebrahim Attia, Li Xiuting, Yew Yik Weng, Steven Thng Tien Guan, Dinish U. S., Malini Olivo

Proceedings Volume 11939, 1193902 (2022) https://doi.org/10.1117/12.2610600

KEYWORDS: Optoacoustics, Imaging systems, Biomedical optics, Blood oxygen saturation

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Proceedings Article | 9 December 2021 Paper

Atopic dermatitis classification models of 3D optoacoustic mesoscopic images

Xiuting Li, Sojeong Park, Mahsa Paknezhad, Dinish U. S., Amalina Binte Ebrahim Attia, Yew Yik Weng, Steven Thng Tien Guan, Hwee Kuan Lee, Malini Olivo

Proceedings Volume 11923, 1192313 (2021) https://doi.org/10.1117/12.2615991

KEYWORDS: 3D modeling, 3D image processing, Skin, Diagnostics, Optoacoustics, Image classification, Image resolution, 3D acquisition, Raster graphics, Image processing

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Proceedings Article | 5 March 2021 Presentation

High resolution optoacoustic imaging and derived metrics to objectively classify the severity of eczema

Dinish U.S., Yik Weng Yew, Xiuting Li, Kapil Dev, Amalina Binte Ebrahim Attia, Renzhe Bi, Mohesh Moothanchery, Ghayathri Balasundaram, Juan Aguirre, Vasilis Ntziachristos, Tien Guan, Steven Thng, Malini Olivo

Proceedings Volume 11618, 116180Z (2021) https://doi.org/10.1117/12.2579287

KEYWORDS: Optoacoustics, Image resolution, Skin, Raster graphics, Blood

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SPIE Journal Paper | 13 May 2020 Open Access

Fast pulsatile blood flow measurement in deep tissue through a multimode detection fiber

Renzhe Bi, Yao Du, Gurpreet Singh, Jun-Hui Ho, Shuyan Zhang, Amalina Binte Ebrahim Attia, Xiuting Li, Malini Olivo

JBO, Vol. 25, Issue 05, 055003, (May 2020) https://doi.org/10.1117/12.10.1117/1.JBO.25.5.055003

KEYWORDS: Blood circulation, Multimode fibers, Speckle, Tissues, Speckle pattern, Tissue optics, Charge-coupled devices, In vivo imaging, Laser tissue interaction, CCD image sensors

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Significance: Noninvasive in vivo fast pulsatile blood flow measurement in deep tissue is important because the blood flow waveform is correlated with physiological parameters, such as blood pressure and elasticity of blood vessels. Compromised blood flow may cause diseases, such as stroke, foot ulcer, and myocardial ischemia. There is great clinical demand for a portable and cost-effective device for noninvasive pulsatile blood flow measurement. Aim: A diffuse-optics-based method, diffuse speckle pulsatile flowmetry (DSPF), was developed for fast measurement (∼300 Hz) of deep tissue blood flow noninvasively. To validate its performance, both a phantom experiment and in vivo demonstration were conducted. Approach: Over the past two decades, single-mode fibers have been used as detection fibers in most diffuse-optics-based deep tissue blood flow measurement modalities. We used a multimode (MM) detection fiber with a core size of 200 μm for diffused speckle pattern detection. A background intensity correction algorithm was implemented for speckle contrast calculation. The MM detection fiber helped to achieve a level of deep tissue blood flow measurement similar to that of conventional modalities, such as diffuse correlation spectroscopy and diffuse speckle contrast analysis, but it increases the measurement rate of blood flow to 300 Hz. Results: The design and implementation of the DSPF system were introduced. The theory of the background intensity correction for the diffused speckle pattern detected by the MM fiber was explained. A flow phantom was built for validation of the performance of the DSPF system. An in vivo cuff-induced occlusion experiment was performed to demonstrate the capability of the proposed DSPF system. Conclusions: An MM detection fiber can help to achieve fast (∼300 Hz) pulsatile blood flow measurement in the proposed DSPF method. The cost-effective device and the fiber-based flexible probe increase the usability of the DSPF system significantly.

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