title: A novel method for registration of US/MR of the liver based on the analysis of US dynamics.
abstract: Radiofrequency ablation of liver cancer is a minimally invasive alternative to open surgery. Typically, the preoperative planning is done on an MR (or CT) scan, while the intervention relies on ultrasound (US) guidance. Registration of intra-operative US and preoperative MR (or CT) would assist navigation and increase the confidence of RFA needle positioning. In this paper we present a novel method for registration of US and MR images of the liver. Hepatic vessels are extracted from 2D US by an algorithm that models US dynamics. It generates 2D probability maps representing hepatic vessels which are then combined into probability volumes. A multi-resolution registration framework performs registration of the pre-processed MR with two 3D vessel probability images. The accuracy, robustness and speed of the method were assessed by registering eight US/MR datasets. High robustness (86%) and reasonable accuracy (1.98 degrees, 4.10 mm), acceptable for the RFA clinical application, suggest that the method has a good potential for intra-operative use.
authors.affiliation: IXICO, 2 Royal College Street, London NW1 0NH, UK. sergiym@ifi.uio.no
authors.forename: Sergiy
authors.initials: S
authors.lastname: Milko
authors.forename: Eivind Lyche
authors.initials: EL
authors.lastname: Melvaer
authors.forename: Eigil
authors.initials: E
authors.lastname: Samset
authors.forename: Timor
authors.initials: T
authors.lastname: Kadir
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D006801:Humans; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D008099:Liver / Q000033:anatomy & histology* / Q000000981:diagnostic imaging*; D008279:Magnetic Resonance Imaging / Q000379:methods*; D010363:Pattern Recognition, Automated / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D013382:Subtraction Technique; D014463:Ultrasonography / Q000379:methods*