2002
DOI: 10.1109/tmi.2002.1000254
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Computation and visualization of three-dimensional soft tissue motion in the orbit

Abstract: This work presents a method to measure the soft tissue motion in three dimensions in the orbit during gaze. It has been shown that two-dimensional (2-D) quantification of soft tissue motion in the orbit is effective in the study of orbital anatomy and motion disorders. However, soft tissue motion is a three-dimensional (3-D) phenomenon and part of the kinematics is lost in any 2-D measurement. Therefore, T1-weighted magnetic resonance (MR) imaging volume sequences are acquired during gaze and soft tissue motio… Show more

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Cited by 65 publications
(43 citation statements)
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“…The volume of thresholded voxels was divided by the total volume of the ellipsoid, resulting in the volume fraction of lipid stores. The 3D distribution of lipid stores was visualized with the plug-in routine VolumeJ (37). Further quantitative parameters were evaluated from the central cross-section image of the larva in each z-stack.…”
Section: Methodsmentioning
confidence: 99%
“…The volume of thresholded voxels was divided by the total volume of the ellipsoid, resulting in the volume fraction of lipid stores. The 3D distribution of lipid stores was visualized with the plug-in routine VolumeJ (37). Further quantitative parameters were evaluated from the central cross-section image of the larva in each z-stack.…”
Section: Methodsmentioning
confidence: 99%
“…Control images were produced with the highest settings and enhancements used to create images of specific antibody stainings from the same experiment. Supplementary Movies were produced using ImageJ and the VolumeJ plugin (Abramoff & Viergever 2002) as described in the supplementary data.…”
Section: Immunofluorescence and Confocal Microscopymentioning
confidence: 99%
“…Although the effective xy-resolutions of AFM and confocal images in our experimental set up were similar, the z-resolution of CLSM was always dramatically inferior. The AFM and CLSM data files were visualized using Image J, Volume J and Surface J packages (Abramoff and Viergever, 2002). Since AFM images represent topography of cells, the contrast is high and the structures are well defined.…”
Section: Image Comparisonmentioning
confidence: 99%