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Visualization of active devices and automatic slice repositioning ("SnapTo") for MRI-guided interventions.
George, Ashvin K; Derbyshire, J Andrew; Saybasili, Haris; Saikus, Christina E; Kocaturk, Ozgur; Guttman, Michael A; McVeigh, Elliot R; Lederman, Robert J; Faranesh, Anthony Z.
Affiliation
  • George AK; Translational Medicine Branch, National Heart Lung and Blood Institute, National Institutes of Health, Bethesda, Maryland, USA. georgeak@nhlbi.nih.gov
Magn Reson Med ; 63(4): 1070-9, 2010 Apr.
Article in En | MEDLINE | ID: mdl-20373408
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 three-dimensional trajectory of the device from projection images in a fraction of a second. CurveFind is an iterative prediction-correction 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.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Algorithms / Image Enhancement / Magnetic Resonance Imaging, Interventional Limits: Animals Language: En Journal: Magn Reson Med Journal subject: DIAGNOSTICO POR IMAGEM Year: 2010 Document type: Article Affiliation country: United States Country of publication: United States

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Algorithms / Image Enhancement / Magnetic Resonance Imaging, Interventional Limits: Animals Language: En Journal: Magn Reson Med Journal subject: DIAGNOSTICO POR IMAGEM Year: 2010 Document type: Article Affiliation country: United States Country of publication: United States