摘要 |
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. |