title: MR navigated breast surgery: method and initial clinical experience.
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.
authors.affiliation: Centre for Medical Image Computing, University College London, WC1E 6BT, UK. timothy.carter@ucl.ac.uk
authors.forename: Timothy
authors.initials: T
authors.lastname: Carter
authors.forename: Christine
authors.initials: C
authors.lastname: Tanner
authors.forename: Nicolas
authors.initials: N
authors.lastname: Beechey-Newman
authors.forename: Dean
authors.initials: D
authors.lastname: Barratt
authors.forename: David
authors.initials: D
authors.lastname: Hawkes
mesh_terms: D001943:Breast Neoplasms / Q000473:pathology* / Q000601:surgery*; D005260:Female; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008408:Mastectomy / Q000379:methods*; D008875:Middle Aged; D010865:Pilot Projects; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D025321:Surgery, Computer-Assisted / Q000379:methods*