VP-Nets : Efficient automatic localization of key brain structures in 3D fetal neurosonography.

ABSTRACT: Three-dimensional (3D) fetal neurosonography is used clinically to detect cerebral abnormalities and to assess growth in the developing brain. However, manual identification of key brain structures in 3D ultrasound images requires expertise to perform and even then is tedious. Inspired by how sonographers view and interact with volumes during real-time clinical scanning, we propose an efficient automatic method to simultaneously localize multiple brain structures in 3D fetal neurosonography. The proposed View-based Projection Networks (VP-Nets), uses three view-based Convolutional Neural Networks (CNNs), to simplify 3D localizations by directly predicting 2D projections of the key structures onto three anatomical views. While designed for efficient use of data and GPU memory, the proposed

SUBMITTER: Huang R 

PROVIDER: S-EPMC5988265 | biostudies-literature | 2018 Jul

REPOSITORIES: biostudies-literature