Journal article
Ultrasound-driven cardiac MRI.
- Santini F Department of Radiology, Division of Radiological Physics, University Hospital Basel, Basel, Switzerland; Department of Biomedical Engineering, University of Basel, Basel, Switzerland. Electronic address: francesco.santini@unibas.ch.
- Gui L Image Guided Interventions Laboratory, Faculty of Medicine, University of Geneva, Geneva, Switzerland.
- Lorton O Image Guided Interventions Laboratory, Faculty of Medicine, University of Geneva, Geneva, Switzerland.
- Guillemin PC Image Guided Interventions Laboratory, Faculty of Medicine, University of Geneva, Geneva, Switzerland.
- Manasseh G Image Guided Interventions Laboratory, Faculty of Medicine, University of Geneva, Geneva, Switzerland; Radiology Department, Vaudois University Hospital, Lausanne, Switzerland.
- Roth M Image Guided Interventions Laboratory, Faculty of Medicine, University of Geneva, Geneva, Switzerland.
- Bieri O Department of Radiology, Division of Radiological Physics, University Hospital Basel, Basel, Switzerland; Department of Biomedical Engineering, University of Basel, Basel, Switzerland.
- Vallée JP Radiology Department, University Hospitals of Geneva, Geneva, Switzerland.
- Salomir R Image Guided Interventions Laboratory, Faculty of Medicine, University of Geneva, Geneva, Switzerland; Radiology Department, University Hospitals of Geneva, Geneva, Switzerland.
- Crowe LA Radiology Department, University Hospitals of Geneva, Geneva, Switzerland.
- 2020-02-08
Published in:
- Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB). - 2020
English
PURPOSE
One 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.
METHODS
A 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.
RESULTS
In 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.
CONCLUSION
In 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.
One 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.
METHODS
A 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.
RESULTS
In 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.
CONCLUSION
In 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.
- Language
-
- English
- Open access status
- closed
- Identifiers
-
- DOI 10.1016/j.ejmp.2020.01.008
- PMID 32032800
- Persistent URL
- https://sonar.ch/global/documents/194271
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