An original binary image is converted to a weighted multi-valued image by a pixel converter.

For a T2 contrast, the image must be acquired with a long TR and long

T2-weighted imaging employs a long TR and long TE.

A microstructure weighted image (72) is generated by synthesizing a surface microstructure image (70), obtained according to the extracted surface microstructure (P), with the normal light image.

A reconstruction bank carries out weighting by multiplying each partial image by the weighted image and reconstructs the original image by using the weighted partial images.

Then a magnetic susceptibility enhanced image in which the magnetic susceptibility difference is enhanced depending on the purpose is obtained by crossing the weighted image with an absolute value image.

Obtained during a short protocol, this diffusion-weighted image shows a patient with conspicuous liver metastasis.

The present invention relates to a method for obtaining T1-weighted image of a tissue, selectively removing a signal of fluidic blood flow by magnetic resonance in a magnetic resonance imaging device.

Data after weighted addition is normalized ot restructure an image.

The weighted difference image is convolved to produce a convoluted difference image.

The apparatus includes a video encoder (310) for encoding a picture using weighted prediction.

A weighted mean calculating section (106) generates an interpolating picture by calculating the weighted mean of the higher and lower layers by using the interpolated background.

The determined depth weighted color values are applied (58) to the first composited plane for producing a volume rendering image with depth weighted colorization.

Using the weighting factors, the calculation unit performs weighted addition on the first image and the second image, and calculates a magnetic resonance image.

An original binary image is converted to a weighted multi-valued image by a pixel converter.