There is a newer version of the record available.

Published February 2020 | Version v1
Journal article

Combining Direct 3D Volume Rendering and Magnetic Particle Imaging to Advance Radiation-Free Real-Time 3D Guidance of Vascular Interventions

  • 1. University Medical Center Hamburg-Eppendorf. Department of Computational Neuroscience (Germany)
  • 2. University Medical Center Hamburg-Eppendorf. Department of Diagnostic and Interventional Radiology and Nuclear Medicine (Germany)
  • 3. University Medical Center Hamburg-Eppendorf. Department of Diagnostic and Interventional Neuroradiology (Germany)
  • 4. Hamburg University of Technology. Institute for Biomedical Imaging (Germany)
  • 5. University Medical Center Hamburg-Eppendorf. Section for Biomedical Imaging (Germany)

Description

Purpose

: Magnetic particle imaging (MPI) is a novel tomographic radiation-free imaging technique that combines high spatial resolution and real-time capabilities, making it a promising tool to guide vascular interventions. Immediate availability of 3D image data is a major advantage over the presently used digital subtraction angiography (DSA), but new methods for real-time image analysis and visualization are also required to take full advantage of the MPI properties. This laboratory study illustrates respective techniques by means of three different patient-specific 3D vascular flow models.

Material and Methods

: The selected models corresponded to typical anatomical intervention sites. Routine patient cases and image data were selected, relevant vascular territories segmented, 3D models generated and then 3D-printed. Printed models were used to perform case-specific MPI imaging. The resulting MPI images, direct volume rendering (DVR)-based fast 3D visualization options, and their suitability to advance vascular interventions were evaluated and compared to conventional DSA.

Results

: The experiments illustrated the feasibility and potential to enhance image interpretation during interventions by using MPI real-time volumetric imaging and problem-tailored DVR-based fast (approximately 30 frames/s) 3D visualization options. These options included automated viewpoint selection and cutaway views. The image enhancement potential is especially relevant for complex geometries (e.g., in the presence of superposed vessels).

Conclusion

: The unique features of the as-yet preclinical imaging modality MPI render it promising for guidance of vascular interventions. Advanced fast DVR could help to fulfill this promise by intuitive visualization of the 3D intervention scene in real time.

Additional details

Identifiers

Publishing Information

Journal Title
Cardiovascular and Interventional Radiology
Journal Volume
43
Journal Issue
2
Journal Page Range
p. 322-330
ISSN
0174-1551
CODEN
CAIRDG

Optional Information

Copyright
Copyright (c) 2019 © Springer Science+Business Media, LLC, part of Springer Nature and the Cardiovascular and Interventional Radiological Society of Europe (CIRSE) 2019