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Simultaneous Ultrasound Imaging and MRI Acquisition

  • Lorena Petrusca
  • Magalie Viallon
  • Sylvain Terraz
  • Valeria de Luca
  • Zarko Celicanin
  • Vincent Auboiroux
  • Shelby Brunke
  • Philippe Cattin
  • Rares Salomir
Part of the Medical Radiology book series (MEDRAD)

Abstract

Magnetic resonance (MR) imaging and ultrasound (US) imaging are complementary and synergetic noninvasive imaging modalities. US imaging is practically free of geometric distortion and provides high temporal resolution and direct visualization of acoustic obstacles. MR imaging offers excellent tissue contrast and a confirmed method for near-real-time thermometry. Their combination may help increase the intraoperative control and assessment in image-guided therapies. The added value of this dual-modality imaging would consist of a more complete description of the anatomy investigated, more accurate targeting, efficient motion tracking, and reliable immediate assessment of the therapeutic results. This chapter focuses on truly simultaneous US/MR technology integration and early applications. A prototype setup designed to clinical standards is described together with the preliminary evaluation of the hybrid imaging performance in the abdomen. In particular, the precision of image coregistration was assessed in healthy volunteers. Furthermore, a complex study investigated the thermal cavitation effects produced by radio-frequency ablations. Simultaneous US imaging/MR imaging acquisition permitted us to demonstrate that the latter effects induce subsequent magnetic-susceptibility-mediated errors in proton resonance frequency shift thermometry, both in ex vivo models and in patients treated for hepatic malignancies. The foreseen perspectives of the hybrid US imaging/MR imaging technique are included in the final section.

Keywords

Magnetic Resonance Scanner Main Magnetic Field HIFU Treatment Magnetic Resonance Thermometry Magnetic Resonance Guidance 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgments

Christoph D. Becker from the Radiology Department, University Hospitals of Geneva, Switzerland, is warmly acknowledged for his helpful advice. The original experiments and results included in this chapter involved real-time MR data transfer software provided by Siemens Healthcare, MR Division, Erlangen, Germany (Joerg Roland and Patrick Gross).

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Lorena Petrusca
    • 1
  • Magalie Viallon
    • 2
  • Sylvain Terraz
    • 2
  • Valeria de Luca
    • 3
  • Zarko Celicanin
    • 4
  • Vincent Auboiroux
    • 1
  • Shelby Brunke
    • 5
  • Philippe Cattin
    • 6
  • Rares Salomir
    • 2
  1. 1.Department of RadiologyUniversity of GenevaGenevaSwitzerland
  2. 2.Radiology DepartmentUniversity Hospitals of GenevaGenevaSwitzerland
  3. 3.Computer Vision LaboratoryETH ZurichZurichSwitzerland
  4. 4.Radiological PhysicsUniversity of Basel Hospital BaselSwitzerland
  5. 5.Ultrasound DivisionSiemens Medical SolutionsIssaquahUSA
  6. 6.Center for Medical Images AnalysisUniversity of BaselBaselSwitzerland

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