1. Articles from Li Tang

    1-3 of 3
    1. Subvoxel Accurate Graph Search Using Non-Euclidean Graph Space.

      Subvoxel Accurate Graph Search Using Non-Euclidean Graph Space.

      Graph search is attractive for the quantitative analysis of volumetric medical images, and especially for layered tissues, because it allows globally optimal solutions in low-order polynomial time. However, because nodes of graphs typically encode evenly distributed voxels of the volume with arcs connecting orthogonally sampled voxels in Euclidean space, segmentation cannot achieve greater precision than a single unit, i.e. the distance between two adjoining nodes, and partial volume effects are ignored. We generalize the graph to non-Euclidean space by allowing non-equidistant spacing between nodes, so that subvoxel accurate segmentation is achievable. Because the number of nodes and edges in ...

      Read Full Article
    2. Automated 3-D method for the correction of axial artifacts in spectral-domain optical coherence tomography images

      Automated 3-D method for the correction of axial artifacts in spectral-domain optical coherence tomography images

      The 3-D spectral-domain optical coherence tomography (SD-OCT) images of the retina often do not reflect the true shape of the retina and are distorted differently along the x and y axes. In this paper, we propose a novel technique that uses thin-plate splines in two stages to estimate and correct the distinct axial artifacts in SD-OCT images. The method was quantitatively validated using nine pairs of OCT scans obtained with orthogonal fast-scanning axes, where a segmented surface was compared after both datasets had been corrected. The mean unsigned difference computed between the locations of this artifact-corrected surface after the single-spline ...

      Read Full Article
    3. 3D reconstruction of the optic nerve head using stereo fundus images for computer-aided diagnosis of glaucoma

      3D reconstruction of the optic nerve head using stereo fundus images for computer-aided diagnosis of glaucoma

      The shape of the optic nerve head (ONH) is reconstructed automatically using stereo fundus color images by a robust stereo matching algorithm, which is needed for a quantitative estimate of the amount of nerve fiber loss for patients with glaucoma. Compared to natural scene stereo, fundus images are noisy because of the limits on illumination conditions and imperfections of the optics of the eye, posing challenges to conventional stereo matching approaches. In this paper, multi scale pixel feature vectors which are robust to noise are formulated using a combination of both pixel intensity and gradient features in scale space. Feature ...

      Read Full Article
    1-3 of 3
  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. Topics in the News

    1. (3 articles) University of Iowa
    2. (3 articles) Kyungmoo Lee
    3. (3 articles) Michael D. Abràmoff
    4. (2 articles) Mona K. Garvin
    5. (2 articles) Young H. Kwon
    6. (1 articles) Milan Sonka
    7. (1 articles) Joost Daemen
    8. (1 articles) Notal Vision
    9. (1 articles) Thorlabs
  3. Popular Articles

  4. Picture Gallery

    3D reconstruction of the optic nerve head using stereo fundus images for computer-aided diagnosis of glaucoma Automated 3-D method for the correction of axial artifacts in spectral-domain optical coherence tomography images Subvoxel Accurate Graph Search Using Non-Euclidean Graph Space. Fantom Encore Sirolimus-eluting Bioresorbable Scaffold for Treatment of De-novo CAD: the ENCORE-I Study Assessment of Microcirculatory Dysfunction in Septic Shock Patients by OCTA OCT system used at home demonstrates potential for daily monitoring of AMD Optical Coherence Tomography Biomarkers of the Outer Blood—Retina Barrier in Patients with Diabetic Macular Oedema Retinal Boundary Segmentation in Stargardt Disease Optical Coherence Tomography Images Using Automated Multi-channel swept source optical coherence tomography concept based on photonic integrated circuits Assessment of Retinal Vessel Density in Adult-Onset Foveomacular Vitelliform Dystrophy by Optical Coherence Tomography Angiography In Vivo Evaluation of Tissue Protrusion by Using Optical Coherence Tomography and Coronary Angioscopy Immediately After Stent Implantation ICOOR 2020 - 8^ INTERNATIONAL CONGRESS ON OCT AND OCT (Virtual Conference). December 18-19, 2020