Toward integrated image guided liver surgery

@inproceedings{Jarnagin2017TowardII,
  title={Toward integrated image guided liver surgery},
  author={William R. Jarnagin and Amber L. Simpson and Michael I. Miga},
  booktitle={Medical Imaging},
  year={2017}
}
While clinical neurosurgery has benefited from the advent of frameless image guidance for over three decades, the translation of image guided technologies to abdominal surgery, and more specifically liver resection, has been far more limited. Fundamentally, the workflow, complexity, and presentation have confounded development. With the first real efforts in translation beginning at the turn of the millennia, the work in developing novel augmented technologies to enhance screening, planning… 

Contribution 1 : Surface-matching registration for intraoperative navigation in liver surgery Contribution 2 : Validation on semi-synthetic data generated using simulation and filtering

TLDR
A method allowing for fast registration of the pre-operative data represented by a detailed 3D model of the liver and its internal structure and the actual configuration given by the organ surface extracted from the intra-operative image is proposed.

Fast elastic registration of soft tissues under large deformations

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