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A new method was proposed to solve match and segmentation problem of ultrasonography of the fetus brain for screen the fetal brain malformations. First, obtaining the gray value of the brain of skull, lateral ventricle (LV), and cerebella hemisphere (CH) based on the image process. Then, index of the each parts gray value scope of the health fetus brain important regions were calculated by using the edge detection based random ellipse detection (RED), using the level set method for the segmentations in tested tissues. Mean values of all datasets were calculated and a standard model were established. This standard model can be used to match the gray level of the undiagnosed groups in order to screen the fetal brain malformations. The propose method gets encouraging result of the application in 3 fetuses with hydrocephalus.