1. Qiushi Ren

    0 Comments Leave a Comment

    1-15 of 19 1 2 »
    1. Mentioned In 19 Articles

    2. Weakly Supervised Deep Learning Based Optical Coherence Tomography Angiography

      Weakly Supervised Deep Learning Based Optical Coherence Tomography Angiography
      Optical coherence tomography angiography (OCTA) is a promising imaging modality for microvasculature studies. Deep learning networks have been widely applied in the field of OCTA reconstruction, benefiting from its powerful mapping capability among images. However, these existing deep learning-based methods depend on high-quality labels, which are hard to acquire considering imaging hardware limitations and practical data acquisition conditions. In this paper, we proposed an unprecedented weakly supervised deep learning-based pipeline ...
      Read Full Article
    3. N2NSR‐OCT: Simultaneous denoising and super‐resolution in optical coherence tomography images using semi‐supervised deep learning

      N2NSR‐OCT: Simultaneous denoising and super‐resolution in optical coherence tomography images using semi‐supervised deep learning
      Optical coherence tomography (OCT) imaging shows a significant potential in clinical routines due to its noninvasive property. However, the quality of OCT images is generally limited by inherent speckle noise of OCT imaging and low sampling rate. To obtain high signal‐to‐noise ratio (SNR) and high‐resolution (HR) OCT images within a short scanning time, we presented a learning‐based method to recover high‐quality OCT images from noisy ...
      Read Full Article
    4. Comparative study of deep learning models for optical coherence tomography angiography

      Comparative study of deep learning models for optical coherence tomography angiography
      Optical coherence tomography angiography (OCTA) is a promising imaging modality for microvasculature studies. Meanwhile, deep learning has achieved rapid development in image-to-image translation tasks. Some studies have proposed applying deep learning models to OCTA reconstruction and have obtained preliminary results. However, current studies are mostly limited to a few specific deep neural networks. In this paper, we conducted a comparative study to investigate OCTA reconstruction using deep learning models. Four ...
      Read Full Article
    5. Noise reduction in optical coherence tomography images using a deep neural network with perceptually-sensitive loss function

      Noise reduction in optical coherence tomography images using a deep neural network with perceptually-sensitive loss function
      Optical coherence tomography (OCT) is susceptible to the coherent noise, which is the speckle noise that deteriorates contrast and the detail structural information of OCT images, thus imposing significant limitations on the diagnostic capability of OCT. In this paper, we propose a novel OCT image denoising method by using an end-to-end deep learning network with a perceptually-sensitive loss function. The method has been validated on OCT images acquired from healthy ...
      Read Full Article
    6. Adaptive classifier allows enhanced flow contrast in OCT angiography using a histogram-based motion threshold and 3D Hessian analysis-based shape filtering

      Adaptive classifier allows enhanced flow contrast in OCT angiography using a histogram-based motion threshold and 3D Hessian analysis-based shape filtering
      In this Letter, we propose an adaptive digital classifier for flow contrast enhancement in optical coherence tomography angiography (OCTA). To solve the depth dependence in the initial motion-based classification, a depth-adaptive motion threshold was determined by performing a histogram analysis of an en-face image at each depth and identifying the static and dynamic voxel populations through fitting. In the follow-up shape-based classification, to adapt to the deformed vessel shapes in ...
      Read Full Article
    7. Dual band dual focus optical coherence tomography for imaging the whole eye segment

      Dual band dual focus optical coherence tomography for imaging the whole eye segment
      We developed an improved dual band dual focus spectral domain optical coherence tomography (SD-OCT) for in vivo 2D/3D imaging of the whole eye segment, including the whole anterior segment and retina. The system featured two OCT channels with two different bands centered at 840 nm and 1050 nm, which were designed to image the retina and the anterior segments of the eye, respectively. By combing the two probe light ...
      Read Full Article
    8. PEGylated Aucore–Agshell Nanorods as Optical Coherence Tomography Signal Nanoamplifiers

      PEGylated Aucore–Agshell Nanorods as Optical Coherence Tomography Signal Nanoamplifiers
      Optimizing contrast enhancement in optical coherence tomography (OCT) is essential for producing specific image signals and realizing its potential use in various biomedical imaging fields besides ophthalmology and cardiology. Using nanoparticles as selective signal nanoamplifiers will be helpful to highlight the lesion sites and identify cancerous changes that are difficult to diagnose currently. In this study, a quantitatively detailed analysis on the improvement of contrast enhancement and penetration depth of ...
      Read Full Article
    9. Whole Eye Segment Imaging and Measurement With Dual-Channel Spectral-Domain OCT

      Whole Eye Segment Imaging and Measurement With Dual-Channel Spectral-Domain OCT
      BACKGROUND AND OBJECTIVES: To image and measure whole eye segments using dual-channel spectral-domain optical coherence tomography (SD-OCT) and to compare the results with those from the IOLMaster (Carl Zeiss Meditec, Dublin, CA). PATIENTS AND METHODS: Twenty eyes of 20 volunteers were recruited. Ocular dimensions, including cornea thickness, anterior chamber depth (ACD), lens thickness, anterior lens surface curvature, and axial length (AL), were calculated. The reproducibility of SD-OCT measurements, statistical significance ...
      Read Full Article
    10. Noninvasive Imaging and Measurement of Accommodation Using Dual-Channel SD-OCT

      Noninvasive Imaging and Measurement of Accommodation Using Dual-Channel SD-OCT
      Purpose : To investigate the feasibility and practicality of real-time noninvasive imaging and measurement of ocular accommodation (05D with one diopter step) using dual-channel , dual-focus spectral domain optical coherence tomography ( SD-OCT ). Materials and Methods : A custom-built, dual-channel , dual-focus SD-OCT was used to image the anterior segment, including the cornea, iris, and anterior and posterior lens surfaces. Three consecutive measurements were taken in each accommodative session for each subject. Changes in ocular ...
      Read Full Article
    11. Ex vivo determination of glucose permeability and optical attenuation coefficient in normal and adenomatous human colon tissues using spectral domain optical coherence tomography

      Ex vivo determination of glucose permeability and optical attenuation coefficient in normal and adenomatous human colon tissues using spectral domain optical coherence tomography
      Recent reports have suggested that spectral domain optical coherence tomography (SD-OCT) is a useful tool for quantifying the permeability of hyperosmotic agents in various tissues. We report our preliminary results on quantification of glucose diffusion and assessment of the optical attenuation change due to the diffusion of glucose in normal and adenomatous human colon tissues in vitro by using a SD-OCT and then calculated the permeability coefficients (PC) and optical ...
      Read Full Article
    12. Feature Of The Week 3/18/12: Research Results from Shanghai Jiaotong University on Optical Coherence Tomography for Whole Eye Segment Imaging

      Feature Of The Week 3/18/12: Research Results from Shanghai Jiaotong University on Optical Coherence Tomography for Whole Eye Segment Imaging
      Researchers from Shanghai Jiao Tong University, Shanghai Institute of Technology, Peking University, and UCLA recently published a paper on “Optical coherence tomography for whole eye segment imaging". Below is a summary of their work. We proposed a dual focus dual channel spectral domain optical coherence tomography (SD-OCT) for simultaneous imaging of the whole eye segments from cornea to the retina. By using dual channels the system solved the problem of ...
      Read Full Article
    13. 1-15 of 19 1 2 »
  1. Categories

    1. Applications:

      Art, Cardiology, Dentistry, Dermatology, Developmental Biology, Gastroenterology, Gynecology, Microscopy, NDE/NDT, Neurology, Oncology, Ophthalmology, Other Non-Medical, Otolaryngology, Pulmonology, Urology
    2. Business News:

      Acquisition, Clinical Trials, Funding, Other Business News, Partnership, Patents
    3. Technology:

      Broadband Sources, Probes, Tunable Sources
    4. Miscellaneous:

      Jobs & Studentships, Student Theses, Textbooks
  2. About Qiushi Ren

    Qiushi Ren

    Qiushi Ren was graduated from Hua-Zhong Unviersity of Science and Technology, Wuhan, China with B. S. degree in Optical Engineering in 1984. He received his M. S. degree in Electrical Engineering in 1987, and Ph. D. Degree in 1990, respectively, in Ohio State University. Dr. Qiushi Ren became the faculty of Department of Biomedical Engineering as an assistant professor, with adjunct appointment at Department of Ophthalmology and Bascom Palmer Eye Institute of University Miami in 1991. In 1995 he joined University of California, Irvine. In 2002, Prof. Ren joined the faculty of the Department of Biomedical Engineering at Shanghai Jiao Tong University. In 2009, Prof. Ren joined Peking University, College of Engineering and became the Chairman of the Department of Biomedical Engineering at PKU.