Literature DB >> 17896386

Method for automatic localization of MR-visible markers using morphological image processing and conventional pulse sequences: feasibility for image-guided procedures.

Harald Busse1, Robert Trampel, Wilfried Gründer, Michael Moche, Thomas Kahn.   

Abstract

PURPOSE: To evaluate the feasibility and accuracy of an automated method to determine the 3D position of MR-visible markers.
MATERIALS AND METHODS: Inductively coupled RF coils were imaged in a whole-body 1.5T scanner using the body coil and two conventional gradient echo sequences (FLASH and TrueFISP) and large imaging volumes up to (300 mm(3)). To minimize background signals, a flip angle of approximately 1 degrees was used. Morphological 2D image processing in orthogonal scan planes was used to determine the 3D positions of a configuration of three fiducial markers (FMC). The accuracies of the marker positions and of the orientation of the plane defined by the FMC were evaluated at various distances r(M) from the isocenter.
RESULTS: Fiducial marker detection with conventional equipment (pulse sequences, imaging coils) was very reliable and highly reproducible over a wide range of experimental conditions. For r(M) </= 100 mm, the estimated maximum errors in 3D position and angular orientation were 1.7 mm and 0.33 degrees , respectively. For r(M) </= 175 mm, the respective values were 2.9 mm and 0.44 degrees .
CONCLUSIONS: Detection and localization of MR-visible markers by morphological image processing is feasible, simple, and very accurate. In combination with safe wireless markers, the method is found to be useful for image-guided procedures. (c) 2007 Wiley-Liss, Inc.

Mesh:

Year:  2007        PMID: 17896386     DOI: 10.1002/jmri.21129

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  6 in total

1.  Catheter tip tracking for MR-guided interventions using discrete Kalman filter and mean shift localization.

Authors:  Abubakr Eldirdiri; Frédéric Courivaud; Rafael Palomar; Per Kristian Hol; Ole Jakob Elle
Journal:  Int J Comput Assist Radiol Surg       Date:  2013-08-23       Impact factor: 2.924

2.  MR-guided liver tumor ablation employing open high-field 1.0T MRI for image-guided brachytherapy.

Authors:  Jens Ricke; Markus Thormann; Matthias Ludewig; Kerstin Jungnickel; Oliver Grosser; Christian Wybranski; Nils Peters; Peter Hass; Jürgen Bunke; Frank Fischbach
Journal:  Eur Radiol       Date:  2010-03-20       Impact factor: 5.315

3.  Prospective real-time head motion correction using inductively coupled wireless NMR probes.

Authors:  Saikat Sengupta; Sasidhar Tadanki; John C Gore; E Brian Welch
Journal:  Magn Reson Med       Date:  2013-11-18       Impact factor: 4.668

4.  Automated fiducial marker detection and localization in volumetric computed tomography images: a three-step hybrid approach with deep learning.

Authors:  Milovan Regodić; Zoltan Bardosi; Wolfgang Freysinger
Journal:  J Med Imaging (Bellingham)       Date:  2021-04-28

5.  Targeting Accuracy, Procedure Times and User Experience of 240 Experimental MRI Biopsies Guided by a Clinical Add-On Navigation System.

Authors:  Harald Busse; Tim Riedel; Nikita Garnov; Gregor Thörmer; Thomas Kahn; Michael Moche
Journal:  PLoS One       Date:  2015-07-29       Impact factor: 3.240

6.  Navigated MRI-guided liver biopsies in a closed-bore scanner: experience in 52 patients.

Authors:  Michael Moche; Susann Heinig; Nikita Garnov; Jochen Fuchs; Tim-Ole Petersen; Daniel Seider; Philipp Brandmaier; Thomas Kahn; Harald Busse
Journal:  Eur Radiol       Date:  2015-11-12       Impact factor: 5.315

  6 in total

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