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Ang LI

Hi, I'm Ang LI. I'm a PhD student in Stony Brook University. My research interest lies in the development of innovative optical imaging techniques and medical imaging analysis. Currently, I'm working with supervisors Dr. Yingtian Pan and Dr. Congwu Du on the project of Optical Coherence Tomography system development. Besides my research, I'm enthusiastic about travelling, photography, golf, basketball and video games(dota2 and 2K).

Research

Li, A., You, J., Du, C., & Pan, Y. (2017). Automated segmentation and quantification of OCT angiography for tracking angiogenesis progression. Biomedical Optics Express, 8(12), 5604-5616.

You, J., Li, A., Du, C., & Pan, Y. (2017). Volumetric Doppler angle correction for ultrahigh-resolution optical coherence Doppler tomography. Applied physics letters, 110(1), 011102. (Cover Art)

Craig, A., Park K., Li, A., Volkow, N., Koob, G., Pan, Y., Hu, X., Du, C.(2018). Enhanced neuronal and blunted hemodynamic reactivity to cocaine in the prefrontal cortex following extended cocaine access: optical imaging study in anesthetized rats." Addiction biology (2018).

Li, A., Zeng, G., Du, C., Zhang, H., & Pan, Y. (2018). Automated motion-artifact correction in an OCTA image using tensor voting approach. Applied Physics Letters, 113(10), 101102.

You, J., Pan, C., Park, K., Li, A., & Du, C. W. (2019). In vivo detection of tumor boundary using ultrahigh‐resolution optical coherence angiography and fluorescence imaging. Journal of biophotonics.

Li, A., Park, K., Du, C. W., & Pan, Y. (2020). A deep-learning-based approach for noise reduction in high-speed optical coherence Doppler tomography. (Submitted)

Li, A., Du, C. W., & Pan, Y. (2020). Edge attention domain adaptive neural network of Optical Coherence Angiography segmentation. (In preparation)

Li, A., Zeng G, Du, C., Pan, Y.(2020). In vivo visualization and evaluation of Ketamine associated bladder cystitis using Optical Coherence Tomography (Submitted to Journal of Urology) .

Li, A., Du, C., & Pan, Y. (2019, February). Motion artifact removal of optical coherence tomography angiography based on tensor voting. In Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXIII (Vol. 10867, p. 108671R). International Society for Optics and Photonics.

Li, A., Du, C., & Pan, Y. (2019, February). Volumetric absolute blood flow measurement with fully connected vasculature network using Doppler optical coherence tomography. In Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXIII (Vol. 10867, p. 108672I). International Society for Optics and Photonics.

Li, A., Du, C., & Pan, Y. (2019, February). Automated layer segmentation of bladder OCT images for enhanced detection of transitional cell carcinoma. In Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXIII (Vol. 10867, p. 108671P). International Society for Optics and Photonics.

Poster and Presentation

Conference presentation, “Deep learning-based methods for enhancement of multimodal OCT and fluorescence imaging”, 27th CAST-USA Annual Convention, New York City, October 2019.

Oral presentation, “Tensor voting based method for motion correction in a single OCTA image”, SPIE Photonics West, San Francisco, February 2019.

Oral presentation, “GPU accelerated layer segmentation of bladder OCT images for enhanced tumor detection”, SPIE Photonics West, San Francisco, February 2019.

Conference presentation, “Volumetric absolute blood flow measurement with fully connected vasculature network”, SPIE Photonics West, San Francisco, February 2019.

Conference presentation, “In vivo quantitative analysis of mouse bladder carcinoma using Optical Coherence Tomography”, Gloria and Mark Snyder Symposium on Cancer Medicine, Stony Brook Medicine, April 2018.

Conference presentation, “Automatic detection of mouse bladder carcinoma using Optical Coherence Tomography”, Stony Brook BME research, Stony Brook, August 2018.

Conference presentation, “Design of a multimodal optical imaging system and microprism for in vivo investigation of cocaine induced CBF disruption”, Stony Brook BME research, Stony Brook, August 2016

Current projects

CS-based swept-source OCT

The compressed sensing based Swept Source OCT has been developed. Data acquisition speed limited by digitizer and memory device limited the imaging distance range of SS-OCT. In addition, the high imaging speed of SS-OCT comes with high requirements on system hardware which are costly. By replacing the conventional Nyquist sampling method with CS, the required number of sampling points is reduced to 20% of the original one. The fig on left shows the in vivo bladder images reconstructed by CS.

Multimodal imaging system

We are developing a multi-modality imaging system which combines C-mode uODT, LSCI, OISI, and fluorescence image. A unique 3D scan method will enable doppler OCT imaging with much higher speed. To improve image SNR, we applied a supercontinuum laser instead of SLD as illumination. The RIN noise of supercontinuum was handled by attenuating reference power and increase exposure time. Also, a GPU based GUI for multimodal system control was developed.