MR Navigated Breast Surgery: Method and Initial Clinical Experience

Authors:
Timothy Carter;Christine Tanner;Nicolas Beechey-Newman;Dean Barratt;David Hawkes
Affiliations:
Centre for Medical Image Computing, University College London, UK WC1E 6BT;Centre for Medical Image Computing, University College London, UK WC1E 6BT;Hedley Atkins Breast Unit, Guy's Hospital, London, UK SE1 9RT;Centre for Medical Image Computing, University College London, UK WC1E 6BT;Centre for Medical Image Computing, University College London, UK WC1E 6BT
Venue:
MICCAI '08 Proceedings of the 11th International Conference on Medical Image Computing and Computer-Assisted Intervention, Part II
Year:
2008

Citing 2
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Abstract

3D dynamic contrast enhanced magnetic resonance (MR) images may help to reduce the high re-excision rate associated with breast conserving surgery. However these images are acquired prone, whilst surgery is performed supine which results in a large deformation that limits their usefulness. We describe here a registration technique based on a biomechanical model to account for soft tissue deformation between prone MR imaging and surgery. The accuracies of the individual registration steps are assessed off-line. We then report our first clinical experience with an image-guided surgery system which incorporates these algorithms. The system's accuracy is assessed against tracked ultrasound images, and is determined to be around 5mm for this case.