1. Michael A. Fiddy

    0 Comments Leave a Comment

    1-6 of 6
    1. Mentioned In 6 Articles

    2. Feature Of The Week 10/3/10: Combined Image-Processing Algorithms for Improved OCT Imaging of Prostate Nerves

      Feature Of The Week 10/3/10: Combined Image-Processing Algorithms for Improved OCT Imaging of Prostate Nerves
      Feature Of The Week 10/3/10: The cavernous nerves are responsible for sexual function. These nerves are at risk of injury during surgical dissection and removal of a cancerous prostate gland because of the close proximity of the nerves to the prostate surface. Their microscopic nature also makes it difficult to predict the true course and location of these nerves from one patient to another. These observations may explain ...
      Read Full Article
    3. Speckle reduction during all-fiber common-path optical coherence tomography of the cavernous nerves

      Speckle reduction during all-fiber common-path optical coherence tomography of the cavernous nerves
      Improvements in identification, imaging, and visualization of the cavernous nerves during prostate cancer surgery, which are responsible for erectile function, may improve nerve preservation and postoperative sexual potency. In this study, we use a rat prostate, ex vivo, to evaluate the feasibility of optical coherence tomography (OCT) as a diagnostic tool for real-time imaging and identification of the cavernous nerves. A novel OCT system based on an all single-mode fiber ...
      Read Full Article
    4. Denoising during optical coherence tomography of the prostate nerves via bivariate shrinkage using dual-tree complex wavelet transform

      Denoising during optical coherence tomography of the prostate nerves via bivariate shrinkage using dual-tree complex wavelet transform
      The performance of wavelet shrinkage algorithms for image-denoising can be improved significantly by considering the statistical dependencies among wavelet coefficients as demonstrated by several algorithms presented in the literature. In this paper, a locally adaptive denoising algorithm using a bivariate shrinkage function is applied to reduce speckle noise in time-domain (TD) optical coherence tomography (OCT) images of the prostate. The algorithm is illustrated using the dual-tree complex wavelet transform. The ...
      Read Full Article
    5. Denoising during optical coherence tomography of the prostate nerves via wavelet shrinkage using dual-tree complex wavelet transform

      Denoising during optical coherence tomography of the prostate nerves via wavelet shrinkage using dual-tree complex wavelet transform
      ...014031 (2009); DOI:10.1117/1.3081543 Published 19 February 2009 ABSTRACT REFERENCES (16) Shahab Chitchian and Michael A. Fiddy University of North Carolina at Charlotte, Department of Physics and Optical Science, Charlot...
      Read Full Article
    6. Wavelet denoising during optical coherence tomography of the prostate nerves using the complex wavelet transform

      Wavelet denoising during optical coherence tomography of the prostate nerves using the complex wavelet transform
      Preservation of the cavernous nerves during prostate cancer surgery is critical in preserving sexual function after surgery. Optical coherence tomography (OCT) of the prostate nerves has recently been studied for potential use in nerve-sparing prostate surgery. In this study, the discrete wavelet transform and complex dual-tree wavelet transform are implemented for wavelet shrinkage denoising in OCT images of the rat prostate. Applying the complex dual-tree wavelet transform provides improved results ...
      Read Full Article
    7. 1-6 of 6
  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 Michael A. Fiddy

    Michael A. Fiddy

    Michael A. Fiddy is a Professor in the Department of Physics and Optical Science at the University of North Carolina at Charlotte.