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Single spin exact gradients for the optimization of complex pulses and pulse sequences

Slad, Stella; Luy, Burkhard ORCID iD icon 1
1 Institut für Organische Chemie (IOC), Karlsruher Institut für Technologie (KIT)

Abstract:

The efficient computer optimization of magnetic resonance pulses and pulse sequences involves the calculation of a problem-adapted cost function as well as its gradients with respect to all controls applied. The gradients generally can be calculated as a finite difference approximation, as a GRAPE approximation, or as an exact function, e.g. by the use of the augmented matrix exponentiation, where the exact gradient should lead to best optimization convergence. However, calculation of exact gradients is computationally expensive and analytical exact solutions to the problem would be highly desirable. As the majority of todays pulse optimizations involve a single spin 1/2, which can be represented by simple rotation matrices in the Bloch space or by their corresponding Cayley-Klein/quaternion parameters, the derivations of analytical exact gradient functions appear to be feasible. Taking two optimization types, the optimization of point-to-point pulses using 3D-rotations and the optimization of universal rotation pulses using quaternions, analytical solutions for gradients with respect to controls have been derived. Controls in this case can be conventional $x$ and $y$ pulses, but also $z$-controls, as well as gradients with respect to amplitude and phase of a pulse shape. ... mehr


Volltext §
DOI: 10.5445/IR/1000184567
Veröffentlicht am 05.09.2025
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Organische Chemie (IOC)
Publikationstyp Forschungsbericht/Preprint
Publikationsjahr 2025
Sprache Englisch
Identifikator KITopen-ID: 1000184567
HGF-Programm 43.35.02 (POF IV, LK 01) Functionality of Soft Matter and Biomolecular Systems
Verlag arxiv
Umfang 26 S.
Projektinformation SFB 1527; HyPERiON, 454252029 (DFG, DFG KOORD, SFB 1527_1)
Schlagwörter Optimization and Control (math.OC), Systems and Control (eess.SY), Chemical Physics (physics.chem-ph)
Nachgewiesen in Dimensions
arXiv
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