| Multi-modal registration of speckle-tracked freehand 3D ultrasound to CT in the lumbar spine. | |
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MedLine Citation:
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PMID: 21982123 Owner: NLM Status: Publisher |
Abstract/OtherAbstract:
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A method for registration of speckle-tracked freehand 3D ultrasound (US) to preoperative CT volumes of the spine is proposed. We register the US volume to the CT volume by creating individual US "sub-volumes", each consisting of a small section of the entire US volume. The registration proceeds incrementally from the beginning of the US volume to the end, registering every sub-volume, where each sub-volume contains overlapping images with the previous sub-volume. Each registration is performed by generating simulated US images from the CT volume. As a by-product of our registration, the significant drift error common in speckle-tracked US volumes is corrected for. Results are validated through a phantom study of plastic spine phantoms created from clinical patient CT data as well as an animal study using a lamb cadaver. Results demonstrate that we were able to successfully register a speckle-tracked US volume to CT volume in four out of five phantoms with a success rate of greater than 98%. The final error of the registered US volumes decreases by over 50 percent from the speckle tracking error to consistently below 3mm. Studies on the lamb cadaver showed a mean registration error consistently below 2mm. |
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Authors:
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Andrew Lang; Parvin Mousavi; Sean Gill; Gabor Fichtinger; Purang Abolmaesumi |
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Publication Detail:
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Type: JOURNAL ARTICLE Date: 2011-8-27 |
Journal Detail:
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Title: Medical image analysis Volume: - ISSN: 1361-8423 ISO Abbreviation: - Publication Date: 2011 Aug |
Date Detail:
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Created Date: 2011-10-10 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 9713490 Medline TA: Med Image Anal Country: - |
Other Details:
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Languages: ENG Pagination: - Citation Subset: - |
Copyright Information:
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Copyright © 2011 Elsevier B.V. All rights reserved. |
Affiliation:
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Department of Electrical and Computer Engineering, Queen's University, Kingston, Ontario, Canada. |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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