| 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. |
