May 2003
Volume 44, Issue 13
Free
ARVO Annual Meeting Abstract  |   May 2003
A New and Improved Automated Technique of Topographic Mapping for Intraocular Tumors
Author Affiliations & Notes
  • K. Manusis
    Ophthalmology, New York Eye & Ear Infirmary, New York, NY, United States
  • J.P. Garcia Jr.
    Advanced Retinal Imaging Laboratory, New York Eye & Ear Infirmary, New York, NY, United States
  • R.B. Rosen
    Advanced Retinal Imaging Laboratory, New York Eye & Ear Infirmary, New York, NY, United States
  • P.M. Garcia
    Advanced Retinal Imaging Laboratory, New York Eye & Ear Infirmary, New York, NY, United States
  • P.T. Finger
    The Eye Care Foundation, New York, NY, United States
  • Footnotes
    Commercial Relationships  K. Manusis, None; J.P.S. Garcia Jr., None; R.B. Rosen, None; P.M.T. Garcia, None; P.T. Finger, None.
Investigative Ophthalmology & Visual Science May 2003, Vol.44, 3645. doi:
  • Views
  • Share
  • Tools
    • Alerts
      ×
      This feature is available to authenticated users only.
      Sign In or Create an Account ×
    • Get Citation

      K. Manusis, J.P. Garcia Jr., R.B. Rosen, P.M. Garcia, P.T. Finger; A New and Improved Automated Technique of Topographic Mapping for Intraocular Tumors . Invest. Ophthalmol. Vis. Sci. 2003;44(13):3645.

      Download citation file:


      © ARVO (1962-2015); The Authors (2016-present)

      ×
  • Supplements
Abstract

Abstract: : Purpose: We present results from the new automated technique (proprietary software program courtesy of Justin Pedro, OTI) recently incorporated into the 3D B-Scan Ultrasound Tomography System (OTI, Canada). Unlike the previous automated technique, this new program has manual mapping capability to correct errors that may arise from the automated technique. Our purpose is to evaluate the new automated technique of topographic mapping for intraocular tumors. Methods: A retrospective analysis of fifty 3D-image files of intraocular tumors were used to generate volumetric topographic maps. To start measuring, the program automatically chooses an image from the 3D volume block showing a transverse view of the tumor at its peak. The mouse was clicked just beneath the apex of the tumor, and dragged towards the vitreous cavity to define the axis of rotation of the mapping software. This step was performed twice to activate automated mapping. Each of the 36 images that were mapped automatically was then corrected manually. Automated and manual mapping of each file was repeated three times to assess intra-observer variability. Results: Due to patient and/or doctor movements during image acquisition, 33 files produced erroneous and unreliable volumetric measurements. Therefore, topographic volumetric maps could be generated in 17 of the 50 files. The algorithm simultaneously estimated tumor height, width and volume. Automated mapping was achieved consistently under 10 seconds, resulting in fairly representative to grossly inaccurate maps. All automated maps required manual correction, lasting from 15 to 60 minutes. Conclusions: The new automated technique improves topographic mapping due to its manual correction capability. However, patient and probe motion continues to affect volumetric measurements. Faster modes of 3D-ultrasound acquisition should enhance the accuracy of this technique.

Keywords: imaging methods (CT, FA, ICG, MRI, OCT, RTA, S • tumors • imaging/image analysis: clinical 
×
×

This PDF is available to Subscribers Only

Sign in or purchase a subscription to access this content. ×

You must be signed into an individual account to use this feature.

×