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-realtime 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.
This study was supported by the Netherlands’ Ministry of Economic Affairs (program “IOP Beeldverwerking”). The research was carried out within the framework of the program “Imaging Science”, sponsored by the Netherlands’ Foundation for Image Sciences, and co-sponsored by the industrial companies Philips Medical Systems, Shell International Exploration and Production, ADAC Europe and Cordis Europe.
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van der Weide, R. et al. (1998). An image processing environment for guiding vascular MR interventions. In: Wells, W.M., Colchester, A., Delp, S. (eds) Medical Image Computing and Computer-Assisted Intervention — MICCAI’98. MICCAI 1998. Lecture Notes in Computer Science, vol 1496. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0056215
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DOI: https://doi.org/10.1007/BFb0056215
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