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

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

Original languageEnglish
Title of host publicationInformation Processing in Medical Imaging
Subtitle of host publication21st International Conference, IPMI 2009, Williamsburg, VA, USA, July 5-10, 2009, Proceedings
EditorsJerry L Prince, Dzung L Pham, Kyle J Myers
Place of PublicationBerlin
PublisherIEEE Press
Pages188 - 201
Number of pages14
VolumeN/A
EditionN/A
ISBN (Print)9783642024979
DOIs
Published2009
Event21st International Conference on Information Processing in Medical Imaging - Williamsburg, VA
Duration: 5 Jul 200910 Jul 2009

Publication series

NameLecture Notes in Computer Science
PublisherSpringer Berlin Heidelberg
Volume5636
ISSN (Print)0302-9743

Conference

Conference21st International Conference on Information Processing in Medical Imaging
CityWilliamsburg, VA
Period5/07/200910/07/2009

King's Authors

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.

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