Developing and testing an algorithm for automatic segmentation of the fetal face from three-dimensional ultrasound images.

ABSTRACT: Fetal craniofacial abnormalities are challenging to detect and diagnose on prenatal ultrasound (US). Image segmentation and computer analysis of three-dimensional US volumes of the fetal face may provide an objective measure to quantify fetal facial features and identify abnormalities. We have developed and tested an atlas-based partially automated facial segmentation algorithm; however, the volumes require additional manual segmentation (MS), which is time and labour intensive and may preclude this method from clinical adoption. These manually refined segmentations can then be used as a reference (atlas) by the partially automated segmentation algorithm to improve algorithmic performance with the aim of eliminating the need for manual refinement and developing a fully automated system. Th

SUBMITTER: Clark AE 

PROVIDER: S-EPMC7735327 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature