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A:
this is a very interesting answer. I don’t agree that it would be difficult to use computational geometry for that. This is what I do as a hobby, using computational geometry to detect point changes in a group of images (which are assumed to be linear changes, and then match it in a grid of feature points in all images) – and I’ve got a solution for that. I use the Euclidean distance between points, and the euclidean ball. So, if there is at least one change, then I match it and show the difference in the grid – but if there was no change at all, then there will be no matches in the grid.
So – it would be easy to design an algorithm to detect a point change, and easy to relate this to 2D-3D changes in objects. I’m going to revisit this, and maybe come up with some ideas – since it seems that it is actually doable.
Glucocorticoid-induced osteoporosis (IGF-I deficiency): cellular and molecular aspects.
Glucocorticoid-induced bone loss is thought to occur by a combination of increased bone resorption and decreased bone formation. This could result from either of two events-an alteration in osteoblast number or a change in the responsiveness of osteoblasts to growth factors. We recently reported a novel condition of growth and differentiation factor-1 (IGF-I) deficiency characterized by cellular and molecular defects that result in decreased responsiveness to IGF-I. We propose that glucocorticoids decrease responsiveness to IGF-I by inducing phosphatase(s) in osteoblasts resulting in a decrease in the number of functional IGF-I receptors. This effect is intensified by the reduced serum IGF-I concentration in patients treated with glucocorticoids. We also suggest that the osteoblasts are a direct target of the glucocorticoids and that their effects may be mediated by an increased expression of the glucocorticoid receptor (GR)
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