Method and system for T1 mapping for tissue characterized by short-T2 relaxation in MRI

Patent metadata

Field	Value
Publication number	US-12339339-B2
Application number	US-202318298515-A
Country	US
Kind code	B2
Filing date	Apr 11, 2023
Priority date	Apr 14, 2022
Publication date	Jun 24, 2025
Grant date	Jun 24, 2025

Abstract

An MRI method and system for mapping T1 relaxation times of a biological object with a part having a short-T2 relaxation time. The MRI system first performs one or several magnetization preparation radio frequency pulse sequences, with successive RF pulse sequences being separated by a repetition time interval TR. The MRI system acquires an MRI signal generated by the part of said biological object during each repetition time interval TR in response to a plurality of 3D readout blocks generated by the MRI system and applied to the part of the biological object. For each readout block, an MRI signal is acquired by the MRI system at a different recovery time. Each readout block is sensitive to short-T2 signal. An image of the part is reconstructed from each MRI signal and T1 values are mapped for the part from at least two of said reconstructed images.

First claim

The invention claimed is:

1. A magnetic resonance imaging (MRI) method for mapping, with an MRI system, T1 relaxation times of a biological object having a part that is characterized by a short-T2 relaxation time, the method comprising:
performing, by the MRI system, one or a plurality of magnetization preparation radio frequency (RF) pulse sequences, with two successive magnetization preparation RF pulse sequences being separated by a repetition time interval TR;
acquiring, by the MRI system and during each repetition time interval TR, an MRI signal generated by the part of the biological object in response to a number N of 3D readout blocks R_i generated by the MRI system and applied to the part of the biological object, wherein for each readout block R_i, an MRI signal S_i is acquired by the MRI system at a different recovery time T_i, and wherein each readout block R_i is configured to be sensitive to short-T2 signal, and wherein i=1, . . . , N, and N≥2; and
reconstructing, from each MRI signal S_i at various T_i, an image of the part and mapping T1 values for the part from two or more of the reconstructed images.

2. The MRI method according to claim 1 , which comprises separating each readout block R_i from a next readout block R_i+1, and thereby separating the acquired signal S_i from a next-acquired signal S_i+1, by a time interval greater than 0.

3. The MRI method according to claim 1 , wherein the N readout blocks form a continuous readout excitation pulse sequence R_cont configured for execution by the MRI system, wherein the MRI signals S_i are acquired at different recovery times T_i in order to create images with many different T_i.

4. The MRI method according claim 1 , wherein each readout block R_i comprises a train of RF excitation pulses of predefined flip angle, each followed by M gradient echoes resulting in an additional dimension in the MRI signal denoted as S_i,j, with i=1, . . . , N, with N≥2 and j=1, . . . , M, with M≥1.

5. The MRI method according to claim 1 , wherein each readout block comprises:
one or more RF excitations with UTE signal readouts; or
one or more RF excitations with ZTE signal readouts; or
one or more RF excitations with SPI data-point collections.

6. The MRI method according to claim 1 , wherein the magnetization preparation RF pulse sequence is an inversion or saturation recovery pulse sequence.

7. The MRI method according to claim 1 , which comprises combining the two or more reconstructed images for extracting information about biological object tissue with short-T2 relaxation time.

8. The MRI method according to claim 1 , which comprises extracting T1 and T2* information directly from the two or more reconstructed images by a fitting of an analytical model.

9. The MRI system configured for carrying out the MRI method according to claim 1 .

Assignees

• Siemens Healthcare Gmbh
• Balgrist Campus AG

Inventors

• Sommer Stefan
• Hilbert Tom
• Nanz Daniel

Classifications

• G01R33/5608

  Data processing and visualization specially adapted for MR, e.g. for feature analysis and pattern recognition on the basis of measured MR data, segmentation of measured MR data, edge contour detection on the basis of measured MR data, for enhancing measured MR data in terms of signal-to-noise ratio by means of noise filtering or apodization, for enhancing measured MR data in terms of resolution by means for deblurring, windowing, zero filling, or generation of gray-scaled images, colour-coded images or images displaying vectors instead of pixels (image data processing or generation, in general G06T) · CPC title

• A61B5/055

  involving electronic [EMR] or nuclear [NMR] magnetic resonance, e.g. magnetic resonance imaging · CPC title

• G01R33/4826

  in three dimensions · CPC title

• G01R33/4816

  NMR imaging of samples with ultrashort relaxation times such as solid samples, e.g. MRI using ultrashort TE [UTE], single point imaging, constant time imaging · CPC title

• G01R33/50 Primary

  based on the determination of relaxation times {, e.g. T1 measurement by IR sequences; T2 measurement by multiple-echo sequences} · CPC title