Automated Design of Pulse Sequences for Magnetic Resonance Fingerprinting using Physics-Inspired Optimization
Autor: | Matthias Troyer, Debra McGivney, Dan Ma, Stephen P. Jordan, Mark A. Griswold, Darryl C. Jacob, Michael E. Beverland, Ignacio Rozada, Rasim Boyacioğlu, Siyuan Hu, Helmut G. Katzgraber, Sherry Huang |
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Rok vydání: | 2021 |
Předmět: |
FOS: Physical sciences
030218 nuclear medicine & medical imaging 03 medical and health sciences symbols.namesake Automation 0302 clinical medicine Robustness (computer science) Neoplasms Image Processing Computer-Assisted Humans Computer Simulation Quantum Physics Multidisciplinary Epilepsy Phantoms Imaging Contrast (statistics) Relaxation (iterative method) Brain Function (mathematics) Physics - Medical Physics Magnetic Resonance Imaging 3. Good health Pulse (physics) Fourier transform Undersampling Computer Science::Computer Vision and Pattern Recognition Physical Sciences symbols Medical Physics (physics.med-ph) Heuristics Quantum Physics (quant-ph) Algorithm 030217 neurology & neurosurgery Algorithms |
Zdroj: | Proc Natl Acad Sci U S A |
DOI: | 10.48550/arxiv.2106.04740 |
Popis: | Magnetic Resonance Fingerprinting (MRF) is a method to extract quantitative tissue properties such as T1 and T2 relaxation rates from arbitrary pulse sequences using conventional magnetic resonance imaging hardware. MRF pulse sequences have thousands of tunable parameters which can be chosen to maximize precision and minimize scan time. Here we perform de novo automated design of MRF pulse sequences by applying physics-inspired optimization heuristics. Our experimental data suggests systematic errors dominate over random errors in MRF scans under clinically-relevant conditions of high undersampling. Thus, in contrast to prior optimization efforts, which focused on statistical error models, we use a cost function based on explicit first-principles simulation of systematic errors arising from Fourier undersampling and phase variation. The resulting pulse sequences display features qualitatively different from previously used MRF pulse sequences and achieve fourfold shorter scan time than prior human-designed sequences of equivalent precision in T1 and T2. Furthermore, the optimization algorithm has discovered the existence of MRF pulse sequences with intrinsic robustness against shading artifacts due to phase variation. Comment: Journal version. 15 pages plus 30 pages for appendices and references |
Databáze: | OpenAIRE |
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