z-logo
Premium
Real‐time catheter tracking and adaptive imaging
Author(s) -
Elgort Daniel R.,
Wong Eddy Y.,
Hillenbrand Claudia M.,
Wacker Frank K.,
Lewin Jonathan S.,
Duerk Jeffrey L.
Publication year - 2003
Publication title -
journal of magnetic resonance imaging
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.563
H-Index - 160
eISSN - 1522-2586
pISSN - 1053-1807
DOI - 10.1002/jmri.10402
Subject(s) - imaging phantom , scanner , computer science , computer vision , orientation (vector space) , artificial intelligence , catheter , tracking (education) , real time mri , image resolution , image plane , biomedical engineering , simulation , image (mathematics) , nuclear medicine , medicine , radiology , mathematics , magnetic resonance imaging , geometry , pedagogy , psychology
Purpose To evaluate the performance of a real‐time MR system for interventional procedures that adjusts specific image parameters in real time based on a catheter's speed of insertion. Materials and Methods The system was implemented using only the hardware provided with a standard short‐bore 1.5 T scanner (Siemens Magnetom Sonata) (with the exception of small tracking markers affixed to the catheter). The system tracks the position of an MR microcoil‐instrumented catheter and automatically updates the scan plane's position and orientation, as well as other features, including, but not limited to, field of view, resolution, tip angle, and TE. A real‐time feedback loop continuously localizes the tracking markers, updates the scan plane position and orientation, calculates the catheter's speed, adjusts the value of specific image parameters, then collects new image data, reconstructs an image, and provides it for immediate display. The system was evaluated in phantom and in vivo porcine experiments. Results The system is able to accurately localize a moving catheter in the abdominal aorta, calculate the device speed, and respond by adjusting specified image parameters 98% of the time, with precision of approximately 2 mm and 1.5°. Conclusion Simply slowing the speed of the catheter allows the clinician to adjust predetermined image parameters. This work also has the potential to build a degree of intelligence into the scanner, enabling it to react to changes in the clinical environment and automatically optimize specific image parameters. J. Magn. Reson. Imaging 2003;18:621–626. © 2003 Wiley‐Liss, Inc.

This content is not available in your region!

Continue researching here.

Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom