Literature DB >> 19994504

Localizing spherical fiducials in C-arm based cone-beam CT.

Ziv Yaniv1.   

Abstract

PURPOSE: C-arm based cone-beam CT (CBCT) imaging enables the in situ acquisition of three dimensional images. In the context of image-guided interventions, this technology potentially reduces the complexity of a procedure's workflow. Instead of acquiring the preoperative volumetric images in a separate location and transferring the patient to the interventional suite, both imaging and intervention are carried out in the same location. A key component in image-guided interventions is image to patient registration. The most common registration approach, in clinical use, is based on fiducial markers placed on the patient's skin which are then localized in the volumetric image and in the interventional environment. When using C-arm CBCT, this registration approach is challenging as in many cases the small size of the volumetric reconstruction cannot include both the skin fiducials and the organ of interest.
METHODS: In this article the author shows that fiducial localization outside the reconstructed volume is possible if the projection images from which the reconstruction was obtained are available. By replacing direct fiducial localization in the volumetric images with localization in the projection images, the author obtains the fiducial coordinates in the volume's coordinate system even when the fiducials are outside the reconstructed region.
RESULTS: The approach was evaluated using two types of spherical fiducials, clinically used 4 mm diameter markers and a custom phantom embedded with 6 mm diameter markers that is part of a commercial navigation system. In all cases, the method localized all fiducials, including those that were outside the reconstructed volume. The method's mean (std) localization error as evaluated using fiducials that were directly localized in the CBCT reconstruction was 0.55 (0.22) mm for the 4 mm markers and 0.51(0.18) mm for the 6 mm markers.
CONCLUSIONS: Based on the evaluations the author concludes that the proposed localization approach is sufficiently accurate to augment or replace direct volumetric fiducial localization for thoracic-abdominal interventions. This allows the physician to position fiducials in a more flexible manner, relaxing the requirement that both the organ of interest and skin surface be contained in the volumetric reconstruction.

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Year:  2009        PMID: 19994504     DOI: 10.1118/1.3233684

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  5 in total

1.  A framework for automatic creation of gold-standard rigid 3D-2D registration datasets.

Authors:  Hennadii Madan; Franjo Pernuš; Boštjan Likar; Žiga Špiclin
Journal:  Int J Comput Assist Radiol Surg       Date:  2016-09-21       Impact factor: 2.924

2.  Automatic intraoperative stitching of nonoverlapping cone-beam CT acquisitions.

Authors:  Javad Fotouhi; Bernhard Fuerst; Mathias Unberath; Stefan Reichenstein; Sing Chun Lee; Alex A Johnson; Greg M Osgood; Mehran Armand; Nassir Navab
Journal:  Med Phys       Date:  2018-04-10       Impact factor: 4.071

3.  Image Segmentation, Registration and Characterization in R with SimpleITK.

Authors:  Richard Beare; Bradley Lowekamp; Ziv Yaniv
Journal:  J Stat Softw       Date:  2018-09-04       Impact factor: 6.440

4.  Robust methods for automatic image-to-world registration in cone-beam CT interventional guidance.

Authors:  H Dang; Y Otake; S Schafer; J W Stayman; G Kleinszig; J H Siewerdsen
Journal:  Med Phys       Date:  2012-10       Impact factor: 4.506

5.  SimpleITK Image-Analysis Notebooks: a Collaborative Environment for Education and Reproducible Research.

Authors:  Ziv Yaniv; Bradley C Lowekamp; Hans J Johnson; Richard Beare
Journal:  J Digit Imaging       Date:  2018-06       Impact factor: 4.056

  5 in total

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