Image-to-Physical Registration for Image-Guided Interventions Using 3-D Ultrasound and an Ultrasound Imaging Model Export

@incollection{citeulike:6109218, abstract = {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.}, author = {King, Andrew and Ma, Ying-Liang and Yao, Cheng and Jansen, Christian and Razavi, Reza and Rhode, Kawal and Penney, Graeme}, citeulike-article-id = {6109218}, citeulike-linkout-0 = {http://dx.doi.org/10.1007/978-3-642-02498-6_16}, citeulike-linkout-1 = {http://www.springerlink.com/content/u1036206316q8286}, doi = {10.1007/978-3-642-02498-6_16}, journal = {Information Processing in Medical Imaging}, keywords = {cardiac, mri, registration, tracking, ultrasound}, pages = {188--201}, posted-at = {2009-11-13 12:35:51}, priority = {3}, title = {Image-to-Physical Registration for Image-Guided Interventions Using 3-D Ultrasound and an Ultrasound Imaging Model}, url = {http://dx.doi.org/10.1007/978-3-642-02498-6_16}, year = {2009} }

TY - CHAP ID - citeulike:6109218 L3 - citeulike-article-id:6109218 N2 - 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. JF - Information Processing in Medical Imaging EP - 201 TI - Image-to-Physical Registration for Image-Guided Interventions Using 3-D Ultrasound and an Ultrasound Imaging Model SP - 188 KW - cardiac KW - mri KW - registration KW - tracking KW - ultrasound AU - King, Andrew AU - Ma, Ying-Liang AU - Yao, Cheng AU - Jansen, Christian AU - Razavi, Reza AU - Rhode, Kawal AU - Penney, Graeme PY - 2009/// UR - http://dx.doi.org/10.1007/978-3-642-02498-6_16 ER -