A de-convolution process is applied to an MR, CT or other image (25) of
a scanned-object (23) to derive the point-spread function (22)
at an object-edge and to pin-point from the mid-point of its full-width-half-maximum
FWHM, the location (30) of the true image-edge. With the object-image (25)
overlying the PSF function (22) in the de-convolution space, sub-pixels
which follow location (30) are transferred to before it to re-construct
the image-edge (25) for sharper conformity to the object-edge (23).
Sharp definition of image-contour (37) facilitates accurate determination
of area and volume of image profiles (35) and their segmentation. The accurate
image-edge definition enables viable correction of geometrical distortion in stand-alone
MR diagnosis and treatment planning.
