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King, Andrew P., Ma, Ying-Liang 
ORCID: https://orcid.org/0000-0001-5770-5843, Yao, Cheng, Jansen, Christian, Razavi, Reza, Rhode, Kawal S. and Penney, Graeme P.
(2009)
Image-to-physical registration for image-guided interventions using 3-D ultrasound and an ultrasound imaging model.
In:
Information Processing in Medical Imaging.
Lecture Notes in Computer Science
.
Springer, 188–201.
ISBN 978-3-642-02497-9
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.
| Item Type: | Book Section |
|---|---|
| Faculty \ School: | Faculty of Science > School of Computing Sciences |
| UEA Research Groups: | Faculty of Science > Research Groups > Norwich Epidemiology Centre Faculty of Medicine and Health Sciences > Research Groups > Norwich Epidemiology Centre Faculty of Science > Research Groups > Data Science and AI |
| Related URLs: | |
| Depositing User: | LivePure Connector |
| Date Deposited: | 05 Jan 2023 10:30 |
| Last Modified: | 10 Dec 2024 01:13 |
| URI: | https://ueaeprints.uea.ac.uk/id/eprint/90400 |
| DOI: | 10.1007/978-3-642-02498-6_16 |
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