Closed-loop control of k-space sampling via physiologic feedback for cine MRI
| Autor: | S. Kamesh Iyer, Robert C. Gorman, Sebastian Berisha, Joseph H. Gorman, Mark A. Elliott, Walter R Witschey, James J. Pilla, Yuchi Han, G. Gualtierri, Francisco Contijoch, Peter Kellman |
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| Přispěvatelé: | Bauer, Wolfgang Rudolf |
| Rok vydání: | 2020 |
| Předmět: |
Male
Physiology Computer science Image Processing Control Systems Cardiovascular Systems Science Signal Diagnostic Radiology 030218 nuclear medicine & medical imaging Electrocardiography 0302 clinical medicine Computer-Assisted Image Processing Computer-Assisted Medicine and Health Sciences Segmentation Computer vision Mathematics Multidisciplinary medicine.diagnostic_test Radiology and Imaging Software Engineering Sampling (statistics) Pulse sequence Heart Magnetic Resonance Imaging Healthy Volunteers Bioassays and Physiological Analysis In Vivo Imaging Cine Physical Sciences Trajectory Engineering and Technology Medicine Probability distribution Biomedical Imaging Female Anatomy Arrhythmia Preclinical imaging Algorithms Research Article Point spread function Adult Computer and Information Sciences Scanner Imaging Techniques Main lobe General Science & Technology Science Cardiology Magnetic Resonance Imaging Cine Bioengineering Research and Analysis Methods Computer Software 03 medical and health sciences Diagnostic Medicine Robustness (computer science) Clinical Research Image Interpretation Computer-Assisted Industrial Engineering medicine Humans Image Interpretation Physiological Adaptation business.industry Electrophysiological Techniques Biology and Life Sciences Magnetic resonance imaging Control Engineering Ringing Image Enhancement Cardiovascular Anatomy Cardiac Electrophysiology Golden angle Artificial intelligence Physiological Processes business 030217 neurology & neurosurgery |
| Zdroj: | PloS one, vol 15, iss 12 PLoS ONE, Vol 15, Iss 12, p e0244286 (2020) PLoS ONE |
| Popis: | Background Segmented cine cardiac MRI combines data from multiple heartbeats to achieve high spatiotemporal resolution cardiac images, yet predefined k-space segmentation trajectories can lead to suboptimal k-space sampling. In this work, we developed and evaluated an autonomous and closed-loop control system for radial k-space sampling (ARKS) to increase sampling uniformity. Methods The closed-loop system autonomously selects radial k-space sampling trajectory during live segmented cine MRI and attempts to optimize angular sampling uniformity by selecting views in regions of k-space that were not previously well-sampled. Sampling uniformity and the ability to detect cardiac phase in vivo was assessed using ECG data acquired from 10 normal subjects in an MRI scanner. The approach was then implemented with a fast gradient echo sequence on a whole-body clinical MRI scanner and imaging was performed in 4 healthy volunteers. The closed-loop k-space trajectory was compared to random, uniformly distributed and golden angle view trajectories via measurement of k-space uniformity and the point spread function. Lastly, an arrhythmic dataset was used to evaluate a potential application of the approach. Results The autonomous trajectory increased k-space sampling uniformity by 15±7%, main lobe point spread function (PSF) signal intensity by 6±4%, and reduced ringing relative to golden angle sampling. When implemented, the autonomous pulse sequence prescribed radial view angles faster than the scan TR (0.98 ± 0.01 ms, maximum = 1.38 ms) and increased k-space sampling mean uniformity by 10±11%, decreased uniformity variability by 44±12%, and increased PSF signal ratio by 6±6% relative to golden angle sampling. Conclusion The closed-loop approach enables near-uniform radial sampling in a segmented acquisition approach which was higher than predetermined golden-angle radial sampling. This can be utilized to increase the sampling or decrease the temporal footprint of an acquisition and the closed-loop framework has the potential to be applied to patients with complex heart rhythms. |
| Databáze: | OpenAIRE |
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