FINGERPRINTING OF MAGNETIC RESONANCE SYSTEM Russian patent published in 2019 - IPC G01R33/46 

Abstract RU 2683602 C2

FIELD: instrument engineering.

SUBSTANCE: using to diagnose performance impairment and or malfunctions in a magnetic resonance imaging apparatus. Summary of invention is that fantom contains a known volume of at least one pre-determined substance. Method includes the step of collecting magnetic resonance data by controlling the magnetic resonance system using pulse sequence commands. Pulse sequence commands cause the magnetic resonance system to collect magnetic resonance data in accordance with the magnetic resonance fingerprinting method. Pulse sequence commands define a series of repetitions of a pulse sequence. Each repetition of the pulse sequence has a repetition time selected from the distribution of repetition times. Each repetition of the pulse sequence contains a radio frequency pulse selected from the distribution of the radio frequency pulses. Distribution of radio frequency impulses causes the magnetic spins to rotate with the distribution of the angles of rotation of the spins. Each repetition of the pulse sequence contains a sampling event, when a magnetic resonance signal is sampled for a predetermined length of time at a sampling time until the end of the repetition of the pulse sequence. Method further comprises determining one or more degradation modes of the performance of the magnetic resonance system by comparing the magnetic resonance data with a dictionary for magnetic resonance fingerprinting. Dictionary for magnetic resonance fingerprinting contains a list of magnetic resonance signals for a set of system states in response to the execution of a pulse sequence command for each of the at least one predetermined substance.

EFFECT: providing the possibility of increasing the reliability of diagnostic results in a magnetic resonance system.

14 cl, 7 dwg

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RU 2 683 602 C2

Authors

Boernert, Peter

Doneva, Mariya Ivanova

Amthor, Thomas Erik

Koken, Peter

Keupp, Jochen

Dates

2019-03-29Published

2016-01-22Filed