Image-to-physical registration for image-guided interventions using 3-D ultrasound and an ultrasound imaging model

Andrew P. King, Ying-Liang Ma, Cheng Yao, Christian Jansen, Reza Razavi, Kawal S. Rhode, Graeme P. Penney

Research output: Chapter in Book/Report/Conference proceedingConference contribution

12 Citations (Scopus)


We present a technique for automatic intensity-based image-to-physical registration of a 3-D segmentation for image-guided interventions. The registration aligns the segmentation with tracked and calibrated 3-D ultrasound (US) images of the target region. The technique uses a probabilistic framework and explicitly incorporates a model of the US image acquisition process. The rigid body registration parameters are varied to maximise the likelihood that the real US image(s) were formed using the US imaging model from the probe transducer position. The proposed technique is validated on images segmented from cardiac magnetic resonance imaging (MRI) data and 3-D US images acquired from 3 volunteers and 1 patient. We show that the accuracy of the algorithm is 2.6-4.2mm and the capture range is 9-18mm. The proposed technique has the potential to provide accurate image-to-physical registrations for a range of image guidance applications.
Original languageEnglish
Title of host publicationInformation Processing in Medical Imaging
Subtitle of host publicationIPMI 2009
EditorsJerry L. Prince, Dzung L. Pham, Kyle J. Myers
Number of pages14
ISBN (Electronic)978-3-642-02498-6
ISBN (Print)978-3-642-02497-9
Publication statusPublished - 2009

Publication series

NameLecture Notes in Computer Science

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