Ultrasound-driven cardiac MRI |
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| Institution: | 1. Department of Radiology, Division of Radiological Physics, University Hospital Basel, Basel, Switzerland;2. Department of Biomedical Engineering, University of Basel, Basel, Switzerland;3. Image Guided Interventions Laboratory, Faculty of Medicine, University of Geneva, Geneva, Switzerland;4. Radiology Department, Vaudois University Hospital, Lausanne, Switzerland;5. Radiology Department, University Hospitals of Geneva, Geneva, Switzerland;1. National Centre for Advanced Medical Imaging (CAMI), St James Hospital / School of Medicine, Trinity College Dublin, Ireland;2. Department of Radiology, Mayo Clinic, Rochester, MN, USA;3. School of Physics and Clinical & Optometric Sciences, Medical Ultrasound Physics and Technology Group, Centre of Industrial Engineering Optics, FOCAS, Technical University Dublin, Ireland;1. German Cancer Research Center (DKFZ), Department of Medical Physics in Radiation Oncology, Heidelberg, Germany;2. Heidelberg Institute for Radiation Oncology (HIRO), National Center for Radiation Research in Oncology (NCRO), Heidelberg, Germany;3. Heidelberg University, Faculty of Physics and Astronomy, Heidelberg, Germany;4. Pontificia Universidad Católica de Chile, Institute of Physics, Santiago, Chile;5. Universidad de Chile, Center for Mathematical Modeling, Santiago, Chile;6. University of Groningen, Johann Bernoulli Institute, Groningen, The Netherlands;7. Instituto de Investigación Sanitaria de Santiago (IDIS), Group of Medical Physics and Biomathematics, Santiago de Compostela, Spain;1. Department of Surgery, Division of Thoracic and Cardiovascular Surgery, University of Virginia, Charlottesville, Virginia;2. Cardiovascular and Thoracic Associates, Inova Heart and Vascular Institute, Falls Church, Virginia;3. Virginia Cardiac Surgery Quality Initiative, Charlottesville, Virginia |
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| Abstract: | PurposeOne of the challenges of cardiac MR imaging is the compensation of respiratory motion, which causes the heart and the surrounding tissues to move. Commonly-used methods to overcome this effect, breath-holding and MR navigation, present shortcomings in terms of available acquisition time or need to periodically interrupt the acquisition, respectively. In this work, an implementation of respiratory motion compensation that obtains information from abdominal ultrasound and continuously adapts the imaged slice position in real time is presented.MethodsA custom workflow was developed, comprising an MR-compatible ultrasound acquisition system, a feature-motion-tracking system with polynomial predictive capability, and a custom MR sequence that continuously adapts the position of the acquired slice according to the tracked position. The system was evaluated on a moving phantom by comparing sharpness and image blurring between static and moving conditions, and in vivo by tracking the motion of the blood vessels of the liver to estimate the cardiac motion. Cine images of the heart were acquired during free breathing.ResultsIn vitro, the predictive motion correction yielded significantly better results than non-predictive or non-corrected acquisitions (p ? 0.01). In vivo, the predictive correction resulted in an image quality very similar to the breath-hold acquisition, whereas the uncorrected images show noticeable blurring artifacts.ConclusionIn this work, the possibility of using ultrasound navigation with tracking for the real-time adaptation of MR imaging slices was demonstrated. The implemented technique enabled efficient imaging of the heart with resolutions that would not be feasible in a single breath-hold. |
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| Keywords: | Cardiac MRI Ultrasound Slice following Free-breathing navigation |
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