Probabilistic Edge Map (PEM) for 3D Ultrasound Image Registration and Multi-atlas Left Ventricle Segmentation

@inproceedings{Oktay2015ProbabilisticEM,
  title={Probabilistic Edge Map (PEM) for 3D Ultrasound Image Registration and Multi-atlas Left Ventricle Segmentation},
  author={Ozan Oktay and Alberto G{\'o}mez and Kevin Keraudren and Andreas Schuh and Wenjia Bai and Wenzhe Shi and Graeme P. Penney and Daniel Rueckert},
  booktitle={FIMH},
  year={2015}
}
Automated left ventricle (LV) segmentation in 3D ultrasound (3D-US) remains a challenging research problem due to variable image quality and limited field-of-view. Modern segmentation approaches (shape, appearance and contour model based surface fitting) require an accurate initialization and good image boundary features to obtain reliable and consistent results. They are therefore not well suited for this problem. The proposed method overcomes those limitations with a novel and generic 3D-US… CONTINUE READING

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