Automatic Mouse Embryo Brain Ventricle Segmentation, Gestation Stage Estimation, and Mutant Detectio

来源 :2015两岸超声技术与医学研讨会 | 被引量 : 0次 | 上传用户:q115106962
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Background, Motivation and Objective Volumetric analysis of brain ventricles (BVs) is important to the study of normal and abnormal development of the central nervous system (CNS) of mouse embryos. Highfrequency ultrasound (HFU) is frequently used to image embryos because HFU is real-time, non-invasive, and provides fine-resolution images. However, manual segmentation of BVs from 3D HFU volumes remains challenging and time consuming. Therefore, automatic segmentation, staging, and brain phenotypes detection algorithms are needed for studies with large embryo counts.
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