Magnetic resonance in medicine 63:1070-1079 (2010) visualization of active devices and automatic slice repositioning ("SnapTo") for MRI-guided interventions

Ashvin K. George, J. Andrew Derbyshire, Haris Saybasili, Christina E. Saikus, Ozgur Kocaturk, Michael A. Guttman, Elliot R. Mcveigh, Robert J. Lederman, Anthony Z. Faranesh

Research output: Contribution to journalArticlepeer-review

Abstract

The accurate visualization of interventional devices is crucial for the safety and effectiveness of MRI-guided interventional procedures. In this paper, we introduce an improvement to the visualization of active devices. The key component is a fast, robust method ("CurveFind") that reconstructs the threedimensional trajectory of the device from projection images in a fraction of a second. CurveFind is an iterative predictioncorrection algorithm that acts on a product of orthogonal projection images. By varying step size and search direction, it is robust to signal inhomogeneities. At the touch of a key, the imaged slice is repositioned to contain the relevant section of the device ("SnapTo"), the curve of the device is plotted in a three-dimensional display, and the point on a target slice, which the device will intersect, is displayed. These features have been incorporated into a real-time MRI system. Experiments in vitro and in vivo (in a pig) have produced successful results using a variety of single- and multichannel devices designed to produce both spatially continuous and discrete signals. CurveFind is typically able to reconstruct the device curve, with an average error of approximately 2 mm, even in the case of complex geometries. Magn Reson Med 63:1070-1079, 2010.

Original languageEnglish (US)
Pages (from-to)1070-1079
Number of pages10
JournalMagnetic resonance in medicine
Volume63
Issue number4
DOIs
StatePublished - May 2010

Keywords

  • Active devices
  • Interventional MRI
  • Parallel MRI
  • Projection imaging
  • Real-time MRI
  • Visualization

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

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