Magnetic resonance image-based semi-automatic quantization method of human body abdominal fat volume

The invention discloses a magnetic resonance image-based semi-automatic quantization method of human body abdominal fat volume, which comprises the steps of: marking a navel position in a human body abdomen magnetic resonance image to obtain a coordinate of a marked point of the navel position; setting a distance range of a fat quantitative region and establishing an elliptic equation, and determining a fat quantitative region on a coronal view; carrying out gray value counting for a pixel signal of each layer of magnetic resonance image, establishing a histogram, and setting a threshold of segmenting fat; and segmenting the abdomen fat through progressive scanning according to the threshold, and accumulating volumes of segmented fats of all layers of magnetic resonance images for realizing fat volume quantization. According to the method, the labor intensity is lowered, the working efficiency is greatly increased, the fat volume is quantized more accurately, the subjective deviation is small, and the repeatability is good.