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Increasing the Automation of a 2D-3D Registration System

Research output: Contribution to journalArticlepeer-review

Original languageEnglish
Pages (from-to)387-399
Number of pages13
JournalIeee Transactions on Medical Imaging
Volume32
Issue number2
DOIs
PublishedFeb 2013

Documents

  • Increasing the Automation of a 2D-3D Registration System

    AV2013TMI.pdf, 1.26 MB, application/pdf

    Uploaded date:09 Jan 2014

    Version:Accepted author manuscript

    (c) 2013 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.

King's Authors

Abstract

Routine clinical use of 2D-3D registration algorithms for Image Guided Surgery remains limited. A key aspect for routine clinical use of this technology is its degree of automation, i.e., the amount of necessary knowledgeable interaction between the clinicians and the registration system. Current image-based registration approaches usually require knowledgeable manual interaction during two stages: for initial pose estimation and for verification
of produced results. We propose four novel techniques, particularly suited to vertebra-based registration systems, which can significantly automate both of the above stages. Two of these techniques are based upon the intraoperative “insertion” of a virtual fiducialmarker into the preoperative data. The remaining two techniques use the final registration similarity value between multiple CT vertebrae and a single fluoroscopy vertebra. The proposed methods were evaluated with data from 31 operations (31 CT scans, 419 fluoroscopy images). Results show these methods can remove the need for manual vertebra identification during initial pose estimation, and were also very effective for result verification, producing a combined true positive rate of 100% and false positive rate equal to zero. This large decrease in required knowledgeable interaction is an important contribution aiming to enable
more widespread use of 2D-3D registration technology.

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