Semi-automatic segmentation of preterm neonate ventricle system from 3D ultrasound images

@article{Qiu2014SemiautomaticSO,
  title={Semi-automatic segmentation of preterm neonate ventricle system from 3D ultrasound images},
  author={Wu Qiu and Jing Yuan and Jessica Kishimoto and Sandrine de Ribaupierre and Eranga Ukwatta and Aaron Fenster},
  journal={2014 IEEE 11th International Symposium on Biomedical Imaging (ISBI)},
  year={2014},
  pages={1222-1225}
}
3D Ultrasound (US) has been developed recently to image the intracranial ventricular system of pre-term neonates in order to monitor these patients for intraventricular hemorrhage (IVH) and the resultant dilatation of the ventricles. 3D US is capable of providing volumetric ventricle measurements, compared to clinically used 2D US, relying on linear measurements from a single slice, and visual and quantitative estimates to determine the severity of ventricular dilatation. In this work, we… CONTINUE READING