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Volume 18 Supplement 1

19th Annual SCMR Scientific Sessions

  • Poster presentation
  • Open Access

Myocardial T1 mapping with spectrally-selective inversion pulse to reduce the influence of fat

  • 1, 2,
  • 2,
  • 3,
  • 2, 4 and
  • 1
Journal of Cardiovascular Magnetic Resonance201618 (Suppl 1) :P19

https://doi.org/10.1186/1532-429X-18-S1-P19

  • Published:

Keywords

  • Flip Angle
  • Field Inhomogeneity
  • Inversion Pulse
  • Magnetization Preparation
  • Respiratory Navigator

Background

Changes in the longitudinal relaxation time (T1) of the myocardium are considered an important imaging-based biomarker to detect and quantify diffuse fibrosis. Several sequences have been suggested to measure myocardial T1 values [1]. However, T1 measurements are often influenced by the presence of intramyocardial or epicardial fat [2,3,4]. The aim of this study was to minimize the effect of fat in T1 mapping by the use of a water selective inversion pulse and to investigate the impact of this spectrally-selective inversion pulse on T1 measurements in the presence of field inhomogeneities.

Methods

We used the recently proposed STONE T1 mapping sequence [5] using a gradient echo imaging readout. A water selective inversion pulse (f0 = 42.5 MHz, duration = 7 ms) was used instead of the adiabatic inversion pulse to only invert the water signal, and therefore, maintains signal from fat. This combination (WS-STONE) allows to perform T1 mapping of 5 slices and to evaluate the T1 relaxation time of the myocardium without the effect of the fat signal in vivo. The schematic of the proposed sequence is shown in Fig 1A. Numerical simulations were performed to study the effect of B0 and B1 inhomogeneities on the efficiency of the inversion pulse and thus on the T1 measurements of the sequence. The feasibility of the proposed sequence has been reported previously in a T1 mapping phantom and healthy volunteers [2]. Phantom imaging was performed using butter immerged in a bottle of Gd-doped water to evaluate the efficiency of the sequence in voxels containing both fat and water. In vivo images were also acquired in 9 healthy subjects using a 1.5T Philips Achieva scanner equipped with a 32-element cardiac coil. Scans were performed using free-breathing multi-slice T1 mapping sequence with a respiratory navigator. The imaging parameters included TR/TE = 4.5/2.2 ms, flip angle = 10°, FOV = 300 × 300 mm2, voxel size = 2 × 2 mm2, slice thickness = 8 mm and SENSE factor = 2. To generate the T1 map, a 3-parameter fit model was used.
Figure 1
Figure 1

A) Schematic of the STONE sequence with water selective RF pulse. After a water selective inversion pulse 5 slices are acquired (TI1: first Inversion time). Subsequently, the slice order is changed to sampling of all 5 heartbeats for each slice. The same experiment is repeated with TI2. 11 images acquired for each slice. WS INV: water selective inversion pulse. B) The phantom consists of butter in Gd-doped water. The T1 of the water with Gd is 1061 ms and butter is 50 ms.

Results

A representative T1 map of the butter phantom acquired with STONE and WS-STONE is shown in Figure 1B. The measured T1 of butter with the WS-STONE is infinity due to the fact that the fat signal is not disturbed during the magnetization preparation with the water selective inversion pulse. Results of numerical simulations incorporating the effect of the B0 and B1 inhomogeneity on the flip angle and measured T1 are shown in Fig 2, demonstrating only little changes in the flip angle for the clinically expected inhomogeneities. In vivo T1 mapping of the heart demonstrated good agreement between the two T1 mapping methods (1125 ± 27 ms for STONE vs. 1115 ± 26 ms for WS-STONE, p = 0.2).
Figure 2
Figure 2

Numerical simulation results for the effect of B 0 and B 1 off-resonance on A) the inversion flip angle, and B) the measured T1 value for a typical myocardial T1 value of 1100 ms.

Conclusions

We demonstrate the feasibility of a water selective RF inversion pulse to reduce the fat impact on cardiac T1 measurements within the clinically expected range of field inhomogeneities.

Authors’ Affiliations

(1)
Division of Imaging Sciences & Biomedical Engineering, King's College London, London, UK
(2)
Department of Medicine, Beth Israel Deaconess Medical Center and Harvard Medical School, Boston, MA, USA
(3)
Computer Aided Medical Procedures, Technische Universität München, Munich, Germany
(4)
Biomedical Engineering Department, Cairo University, Giza, Egypt

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