1. Articles from Kira L. Lathrop

    1-4 of 4
    1. LEARNING TO SEGMENT CORNEAL TISSUE INTERFACES IN OCT IMAGES

      LEARNING TO SEGMENT CORNEAL TISSUE INTERFACES IN OCT IMAGES

      Accurate and repeatable delineation of corneal tissue interfaces is necessary for surgical planning during anterior segment interventions, such as Keratoplasty. Designing an approach to identify interfaces, which generalizes to datasets acquired from different Optical Coherence Tomographic (OCT) scanners, is paramount. In this paper, we present a Convolutional Neural Network (CNN) based framework called CorNet that can accurately segment three corneal interfaces across datasets obtained with different scan settings from different OCT scanners. Extensive validation of the approach was conducted across all imaged datasets. To the best of our knowledge, this is the first deep learning based approach to segment both ...

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    2. Optical Coherence Tomography Imaging of the Palisades of Vogt to Assist Clinical Evaluation and Surgical Planning in a Case of Limbal Stem-Cell Deficiency

      Optical Coherence Tomography Imaging of the Palisades of Vogt to Assist Clinical Evaluation and Surgical Planning in a Case of Limbal Stem-Cell Deficiency

      PURPOSE: To describe the use of volumetric optical coherence tomography (OCT) imaging to assist evaluation of a patient referred for autologous limbal stem-cell transplant. METHODS: This is a case report of a 50-year-old patient presenting with unilateral limbal stem-cell deficiency who was referred for autologous limbal stem-cell transplant. The presence of Salzmann nodules in the donor eye raised questions about the efficacy of transplantation, prompting examination of both eyes using volumetric OCT imaging to determine whether there were palisades of Vogt (POV) present. Image volumes were acquired in all clock hours and were compared against those of an age-matched normal ...

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    3. Optical Coherence Tomography as a Rapid, Accurate, Noncontact Method of Visualizing the Palisades of Vogt

      Optical Coherence Tomography as a Rapid, Accurate, Noncontact Method of Visualizing the Palisades of Vogt

      Purpose. This study explored the efficacy of optical coherence tomography (OCT) as a high-resolution, noncontact method for imaging the palisades of Vogt by correlating OCT and confocal microscopy images. Methods. Human limbal rims were acquired and imaged with OCT and confocal microscopy. The area of the epithelial basement membrane in each of these sets was digitally reconstructed, and the models were compared. Results. OCT identified the palisades within the limbus and exhibited excellent structural correlation with immunostained tissue imaged by confocal microscopy. Conclusions. OCT successfully identified the limbal palisades of Vogt that constitute the corneal epithelial stem cell niche. These ...

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    4. Optical coherence tomography as a rapid, accurate, non-contact method of visualizing the palisades of Vogt

      Optical coherence tomography as a rapid, accurate, non-contact method of visualizing the palisades of Vogt
      Purpose: This study explored the efficacy of Optical Coherence Tomography (OCT) as a high-resolution, non-contact method for imaging of the palisades of Vogt by correlating OCT and confocal microscopy images. Methods: Human limbal rims were acquired and imaged with OCT and confocal microscopy. The area of the epithelial basement membrane in each of these sets was digitally reconstructed and the models were compared. Results: OCT identified the palisades within the limbus and exhibited excellent structural correlation with immunostained tissue imaged by confocal microscopy. Conclusions: OCT successfully identified the limbal palisades of Vogt that constitute the corneal epithelial stem cell niche ...
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    1-4 of 4
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  2. Topics in the News

    1. (4 articles) University of Pittsburgh
    2. (2 articles) Joel S. Schuman
    3. (2 articles) Larry Kagemann
    4. (1 articles) Carl Zeiss Meditec
    5. (1 articles) Center for Ophthalmic Optics and Lasers
    6. (1 articles) Massachusetts General Hospital
    7. (1 articles) University of Miami
    8. (1 articles) Oregon Health & Science University
    9. (1 articles) Bruno Lumbroso
    10. (1 articles) David Huang
    11. (1 articles) Marco Rispoli
    12. (1 articles) Philip J. Rosenfeld
    13. (1 articles) Quan Dong Nguyen
    14. (1 articles) Francesco Bandello
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