IP Library › Granted Patent US 12,429,535
Granted Patent B2
US 12,429,535 · App. 18/519,631 · Granted Sep 30, 2025

Method for operating an MRI system, an MRI system, a control unit, a storage unit, a computer program, and an electronically readable data carrier

Inventor: Volker Schnetter (Nuremberg, DE)
Assignee: Siemens Healthineers AG
G01R33/288
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Quick Facts
Patent No.
US 12,429,535
App. No.
18/519,631
Granted
Sep 30, 2025
Kind
B2
Abstract

A method performed by an MRI system includes: receiving at least one object parameter value of an object to be examined in accordance with a predefined MRI protocol; determining a frequency distribution of deposition values of examined objects, each having the at least one object parameter value, from available MRI examination datasets; determining, by a control unit of the MRI system, a reference deposition value of the examined objects, each having the at least one object parameter value, from the frequency distribution of the deposition values of the examined objects, each having the at least one object parameter value, for a predefined reference proportion in accordance with a predefined reference determining procedure; and determining, as a function of the reference deposition value, at least one MRI protocol parameter of the predefined MRI protocol for examining the object to be examined, in accordance with a predefined MRI protocol optimization procedure.

Claims (43)

1. A method comprising:

receiving, by a control unit of a magnetic resonance imaging (MRI) system, at least one object parameter value of an object in an MRI examination in accordance with a predefined MRI protocol;

determining, by the control unit, a frequency distribution of deposition values of examined objects from available MRI examination datasets, each having the at least one object parameter value, wherein a respective MRI examination dataset of the MRI examination datasets comprises a respective deposition value and a respective object parameter value of a respective examined object;

determining, by the control unit, a reference deposition value of the examined objects from the frequency distribution of the deposition values of the examined objects for a predefined reference proportion in accordance with a predefined reference determining procedure of the MRI system; and

determining, by the control unit, at least one MRI protocol parameter of the predefined MRI protocol for examining the object having the object parameter value in accordance with a predefined MRI protocol optimization procedure as a function of the reference deposition value.

2. The method of claim 1 , wherein the predefined reference determining procedure of the MRI system comprises:

determining, by the control unit from the frequency distribution, a distribution function of the deposition values of the examined objects having the at least one object parameter value;

determining, by the control unit, an inverse distribution function of the distribution function, wherein the inverse distribution function assigns a largest deposition value to a proportion of the examined objects that have the at least one object parameter value at which the distribution function of the deposition values exceeds the proportion;

determining, by the control unit, the largest deposition value for the predefined reference proportion by the inverse distribution function; and

determining, by the control unit, the largest deposition value for the predefined reference proportion as the reference deposition value.

3. The method of claim 1 , wherein the deposition values of the examined objects describe specific absorption rate (SAR) values.

4. The method of claim 1 , wherein the deposition values of the examined objects describe B1+{circumflex over ( )}2 values.

5. The method of claim 1 , wherein the at least one object parameter value comprises a mass of the object.

6. The method of claim 1 , wherein the at least one object parameter value comprises a position of an examination region of the object.

7. The method of claim 1 , further comprising:

receiving, by the control unit, the predefined reference proportion.

8. The method of claim 7 , further comprising:

retrieving, by the control unit, the deposition values of the examined objects having the at least one object parameter value from a storage unit of the MRI system.

9. The method of claim 8 , further comprising:

activating, by the control unit, an MRI apparatus to examine the object by the MRI apparatus in accordance with the MRI protocol.

10. The method of claim 9 , further comprising:

determining, by the control unit, the respective deposition value of the object;

creating, by the control unit, the respective MRI examination dataset comprising the respective deposition value and the respective object parameter value of the object; and

transmitting, by the control unit, the respective MRI examination dataset to the storage unit.

11. The method of claim 1 , further comprising:

retrieving, by the control unit, the deposition values of the examined objects having the at least one object parameter value from a storage unit of the MRI system.

12. The method of claim 1 , further comprising:

activating, by the control unit, an MRI apparatus to examine the object by the MRI apparatus in accordance with the MRI protocol.

13. The method of claim 12 , further comprising:

determining, by the control unit, the respective deposition value of the object;

creating, by the control unit, the respective MRI examination dataset comprising the respective deposition value and the respective object parameter value of the object; and

transmitting, by the control unit, the respective MRI examination dataset to a storage unit.

14. A magnetic resonance imaging (MRI) system comprising:

at least one control unit configured to:

receive at least one object parameter value of an object in an MRI examination in accordance with a predefined MRI protocol;

determine a frequency distribution of deposition values of examined objects from available MRI examination datasets, each having the at least one object parameter value, wherein a respective MRI examination dataset of the MRI examination datasets comprises a respective deposition value and a respective object parameter value of a respective examined object;

determine a reference deposition value of the examined objects from the frequency distribution of the deposition values of the examined objects for a predefined reference proportion in accordance with a predefined reference determining procedure; and

determine, as a function of the reference deposition value, at least one MRI protocol parameter of the predefined MRI protocol for examining the object having the object parameter value in accordance with a predefined MRI protocol optimization procedure.

15. A control unit of a magnetic resonance imaging (MRI) system, wherein the control unit is configured to:

receive at least one object parameter value of an object in an MRI examination in accordance with a predefined MRI protocol;

determine a frequency distribution of deposition values of examined objects from available MRI examination datasets, each having the at least one object parameter value, wherein a respective MRI examination dataset of the MRI examination datasets comprises a respective deposition value and a respective object parameter value of a respective examined object;

determine a reference deposition value of the examined objects from the frequency distribution of the deposition values of the examined objects for a predefined reference proportion in accordance with a predefined reference determining procedure; and

determine, as a function of the reference deposition value, at least one MRI protocol parameter of the predefined MRI protocol for examining the object having the object parameter value in accordance with a predefined MRI protocol optimization procedure.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Apr 30, 2024
From: SCHNETTER, VOLKER
To: SIEMENS HEALTHINEERS AG
Reel/Frame 067265/0305 →
Priority Claims (1)
DE 10 2022 213 701.9 · Dec 15, 2022 · national
Continuity (1)
Related Publication 20240201289A1 · Jun 20, 2024
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