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Given the true position and size of phantom spheres is known for the NEMA IQ phantom, ground truth was created on the PET data by fitting a sphere of the appropriate volume to each of the phantom spheres to create a binary mask.
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The functional movement task enabled the identification of hip joint centres by fitting a sphere to motion of the thigh markers and identification of knee joint flexion/extension axes using a mean helical axis method [ 18, 20].
In performing such movements, hip joint centres are identified by fitting a sphere to the motion of the thigh markers and knee joint flexion extension axes are identified by using a mean helical axis method [ 21, 24].
An optimization model is developed to find the center coordinates of each ball target by fitting a sphere to its scanned data.
A related approach is the rolling ball method (Skolnick 1986) that determines background levels by fitting a sphere into the 3-D "landscape" of the image (see Fig. 11).
Next, tetrahedrons that are too small to fit a sphere with interior radius are removed.
The Femoral Head Center (FHC) is determined by fitting a 'sphere of best fit' to the femoral head.
The ideal resection planes for stem positioning were determined using the engineering programme Creo (Parametric Technology Corporation, Needham, MA, USA) which calculated the 3D coordinates of (i) the femoral head centre and diameter by fitting a 'sphere of best fit', (ii) the proximal diaphyseal axis, and (iii) the femoral neck axis.
To locate the position of the LT in 3D space, we used the method according to Masjedi et al. [ 27] in which the LT is selected and fitted to a sphere using the sphere fitting tool of the 3-matic.
And you are a sphere, of course.
A sphere of aware light.
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