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The volume of the femoral head cartilage was isolated from the total volume by drawing disarticulation contours around the cartilage boundaries on each image section.
The volume of the femoral head cartilage was isolated from the total volume by manually drawing disarticulation contours around the cartilage boundaries on each image section.
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Each phase space is converted into an image, and the boundary of each image is extracted by a boundary detection algorithm.
A 2D technique of intraimage contrast analysis was further used (Support material 2 in Additional file 1) to correct the bone boundaries on the image signal.
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As a result, individual SUVmean during infection could be underestimated by inclusion of voxels with lower metabolic activity from surrounding tissue when manually defining the LN boundaries on CT images (Figure 6e).
The interscan data reproducibility for the LN volume in baseline scans ensures consistency in defining the whole LN boundaries on CT images and indicates the degree of reliability of VOI for SUVmean calculation.
Stable positioning despite eye movements is ensured by an eye tracking system that continuously recognizes eye movements using landmarks with sharp contrast boundaries on cSLO images.
Patella cartilage and bone volumes were determined by manually drawing disarticulation contours around the patella boundaries on images 1.5 mm apart on sagittal views, using image processing on an independent workstation using the Osiris software as previously described [ 14, 15].
An MSF is finally grown to segment the image using spatial and spectral information.The MSF based method with automatically selected bands proved to be accurate in determining the tumor boundary on hyperspectral images.Hyperspectral imaging combined with the proposed classification technique has the potential to provide a noninvasive tool for cancer detection.
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