Ultrasound-driven cardiac MRI
| Autor: | Jean-Paul Vallée, Rares Salomir, Laura Gui, Myriam Roth, Pauline C. Guillemin, Lindsey A. Crowe, Oliver Bieri, Gibran Manasseh, Francesco Santini, Orane Lorton |
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| Rok vydání: | 2020 |
| Předmět: |
Time Factors
Image quality Computer science Movement ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Biophysics General Physics and Astronomy Tracking (particle physics) ddc:616.0757 Imaging phantom 030218 nuclear medicine & medical imaging Compensation (engineering) Breath Holding 03 medical and health sciences 0302 clinical medicine Position (vector) Image Interpretation Computer-Assisted Humans Radiology Nuclear Medicine and imaging Computer vision Phantoms Imaging business.industry Respiration Ultrasound Reproducibility of Results Heart General Medicine Magnetic Resonance Imaging Ultrasonic Waves 030220 oncology & carcinogenesis Blood Vessels Acquisition time Artificial intelligence Interrupt Artifacts business |
| Zdroj: | Physica Medica, Vol. 70 (2020) pp. 161-168 |
| ISSN: | 1120-1797 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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