An image processing environment for guiding vascular MR interventions
Publication date
1998
Authors
van der Weide, R.
Zuiderveld, K. J.
Bakker, C J G
Bos, Clemens
Smits, H.F.M.
Hoogenbooin, T.
van Vaals, J. J.
Viergever, Max
Editors
Wells, William M.
Colchester, Alan
Delp, Scott
Advisors
Supervisors
Document Type
Part of book
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Abstract
MRI offers potential advantages over conventional X-ray techniques for guiding and evaluating vascular interventions. Image guidance of such interventions via passive catheter tracking requires real-time processing of the dynamically acquired MR slices and advanced display facilities inside the MR examination room. Commercially available clinical MR-scanners currently do not provide this functionality. This paper describes a processing environment that allows near-real-time MR-guided interventions. Two stand-alone workstations connected to our MR-scanner offer a flexible and fast tool for guiding the interventionist without affecting the stability of the MR-scanner. The paper describes and discusses our approach, including image processing techniques. Results of a phantom balloon angioplasty experiment are presented.
Keywords
Theoretical Computer Science, General Computer Science
Citation
van der Weide, R, Zuiderveld, K J, Bakker, C J G, Bos, C, Smits, H F M, Hoogenbooin, T, van Vaals, J J & Viergever, M A 1998, An image processing environment for guiding vascular MR interventions. in W M Wells, A Colchester & S Delp (eds), Medical Image Computing and Computer-Assisted Intervention ─ MICCAI 1998 - 1st International Conference, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 1496, Springer, pp. 317-324, 1st International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 1998, Cambridge, United States, 11/10/98. https://doi.org/10.1007/bfb0056215, conference