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Background: This review aims to identify the development of the algorithms for brain tissue and structure segmentation in MRI images. Discussion: Starting from the results of the Grand Challenges on brain tissue and structure segmentation held in Medical Image Computing and Computer-Assisted Intervention (MICCAI), this review analyses the development of the algorithms and discusses the tendency from multi-atlas label fusion to deep learning. The intrinsic characteristics of the winners’ algorithms on the Grand Challenges from the year 2012 to 2018 are analyzed and the results are compared carefully. Conclusion: Although deep learning has got higher rankings in the challenge, it has not yet met the expectations in terms of accuracy. More effective and specialized work should be done in the future.

The aims of this study were to analyze the sonographic features and clinical prognosis of fetal echogenic bowel (FEB) and to evaluate the value of FEB in the prediction of fetal chromosomal abnormalities. Eight hundred eighty-two fetuses with FEB were selected. The ultrasonographic features and the chromosomal examination were retrospectively analyzed. Among the 882 FEB, 272 (30.8%) cases had malformation. The most common malformation was cardiovascular malformation (21.6%), followed by urinary malformation (9.0%), craniocerebral malformation (6.8%), and gastrointestinal malformations (5.6%). According to other combined ultrasound abnormalities, the FEBs were divided into 4 groups: isolated FEB group (490 cases), ultrasound soft indicators group (130 cases), single malformation group (117 cases), and multiple malformation group (145 cases). A total of 45 cases (5.1%) were detected with chromosomal abnormalities. Compared with isolated FEB group, the rate of chromosomal abnormality in other 3 groups was significantly higher. Among 490 cases of isolated FEB, 114 cases of isolated FEB group with adverse pregnancy outcomes were selected as the experimental group, and 376 cases of FEB group with good prognosis were selected as the control group. There were significant differences of the location, shape, intensity, and progression between the 2 groups. Multivariate logistic regression analysis showed that central location and progression of FEB were independent risk predictors of poor prognosis. The combined malformation rate is high for FEB fetuses.The fetal systems should be carefully examined when FEB is found in prenatal ultrasound.