• DocumentCode
    1411423
  • Title

    Objective quantification of the motion of soft tissues in the orbit

  • Author

    Abràmoff, Michael D. ; Niessen, Wiro J. ; Viergever, Max A.

  • Volume
    19
  • Issue
    10
  • fYear
    2000
  • Firstpage
    986
  • Lastpage
    995
  • Abstract
    Orbital soft-tissue motion analysis aids in the localization and diagnosis of orbital disorders. A technique has been developed to objectively quantify and visualize motion in the orbit during gaze. T1-weighted MR volume sequences are acquired during gaze and soft-tissue motion is quantified using optical flow techniques. The flow field is visualized using color-coding: orientation of the flow vector is coded by hue and magnitude by saturation of the pixel. Current clinical circumstances limit MR image acquisition to short sequences and short acquisition times. The effect of these limitations on the performance of optical flow computation has been studied for four representative optical flow algorithms: on short (nine frames) and long (21 frames) simulated sequences of rotation of a magnetic resonance (MR) imaged object, on short measured MR sequences of controlled rotation of the same object and on short MR sequences of motion in the orbit. On the short simulated and motion-controlled sequences, the Lucas and Kanade algorithm showed the best performance with respect to both accuracy and robustness. These motion estimates were accurate to within 20%. Motion in the orbit ranged between 0.05 and 0.25 mm/° gaze. Color-coding was found to be attractive as a visualization technique, because it shows both magnitude and orientation of all flow vectors without cluttering.
  • Keywords
    biological tissues; biomechanics; biomedical MRI; eye; image motion analysis; image sequences; medical image processing; vectors; T1-weighted MR volume sequences; cluttering; color-coding; flow field visualization; flow vector orientation; magnetic resonance imaging; medical diagnostic imaging; motion-controlled sequences; optical flow techniques; orbital disorders diagnosis; orbital disorders localization; orbital soft-tissue motion analysis; pixel saturation; Biological tissues; Computational modeling; Extraterrestrial measurements; Fluid flow measurement; Image motion analysis; Magnetic resonance; Motion analysis; Optical computing; Optical saturation; Visualization; Algorithms; Humans; Image Processing, Computer-Assisted; Magnetic Resonance Imaging, Cine; Movement; Orbit; Orbital Diseases; Phantoms, Imaging;
  • fLanguage
    English
  • Journal_Title
    Medical Imaging, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0278-0062
  • Type

    jour

  • DOI
    10.1109/42.887614
  • Filename
    887614