Near real-time magnetic particle imaging for visual assessment of vascular stenosis in a phantom model |
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| Institution: | 1. Department of Diagnostic and Interventional Radiology, University Hospital Würzburg, Würzburg, Germany;2. Department of Experimental Physics V, University of Würzburg, Würzburg, Germany;3. Department of Diagnostic and Interventional Neuroradiology, University Hospital Würzburg, Würzburg, Germany;1. CTU – Faculty of Nuclear Sciences and Physical Engineering, Prague, Czech Republic;2. UJP PRAHA a.s., Prague, Czech Republic;3. National Radiation Protection Institute v.v.i., Prague, Czech Republic;1. University of Washington, Department of Radiation Oncology, Seattle, WA, USA;2. University of Miami, Department of Radiation Oncology, Miami, FL, USA;3. Loma Linda University Medical Center, Loma Linda, CA, USA;4. Pancea Medical Pvt. Ltd, Bangalore, India;5. PSG Hospital, Coimbatore, India;1. School of Technology, Harbin University, Harbin, China;2. Department of Radiology, The University of Chicago, Chicago, IL 60637, United States;3. Department of Medicine, The University of Chicago, Chicago, IL 60637, United States |
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| Abstract: | PurposeThis study aimed to investigate the potential of magnetic particle imaging (MPI) to quantify artificial stenoses in vessel phantoms in near real-time.MethodsCustom-made stenosis phantoms with different degrees of stenosis (0%, 25%, 50%, 75%, and 100%; length 40 mm, inner diameter 8 mm, Polyoxymethylene) were filled with diluted Ferucarbotran (superparamagnetic iron-oxide nanoparticle (SPION) tracer agent, 500 mmol (Fe)/l). A traveling wave MPI scanner (spatial resolution ~ 2 mm, gradient strength ~ 1.5 T/m, field of view: 65 mm length and 29 mm diameter, frequencies f1 = 1050 Hz and f2 = 12150 Hz) was used to acquire images of the phantoms (200 ms total acquisition time per image, 10 averages). Standardized grey scaling was used for comparability. All measured stenoses (n = 80) were graded manually using a dedicated software tool.ResultsMPI allowed for accurate visualization of stenoses at a frame rate of 5 frames per second. Less severe stenoses were detected more precisely than higher-grade stenoses and came with smaller standard deviations. In particular, the 0%, 25%, 50%, 75%, and 100% stenosis phantom were measured as 3.7 ± 2.7% (mean ± standard deviation), 18.6 ± 1.8%, 52.8 ± 3.7%, 77.8 ± 14.8% and 100 ± 0%. Geometrical distortions occurred around the center of the high-grade stenosis and led to higher standard deviations compared to lower grade stenoses. In the frame of this study the MPI signal depended linearly on the SPION concentration down to 0.05 mmol (Fe)/l.ConclusionNear real-time MPI accurately visualized and quantified different stenosis grades in vascular phantoms. |
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| Keywords: | Magnetic particle imaging MPI Stenosis quantification Vascular stenosis |
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