Black-Blood T2* Mapping with Delay Alternating with Nutation for Tailored Excitation
Shi Su1, Yanan Ren1, Caiyun Shi1, Xiaoyong Zhang1,2, Hairong Zheng1, Xin Liu1, and Guoxi Xie1

1Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China, People's Republic of, 2Centers for Biomedical Engineering, College of Information Science and Technology, University of Science and Technology of China, Hefei, China, People's Republic of

Synopsis

T2* mapping provides a means to quantitatively estimate the iron load of tissue, which is closely related to numerous diseases, such as thalassemia, hereditary hemochromatosis and sickle cell disease. However, blood signal would induce artifacts which lead to T2* estimation inaccurate. To address this issue, a novel black-blood T2* mapping technique utilizing Delay Alternating with Nutation for Tailored Excitation (DANTE) preparation module followed by multi-echo gradient echo (GRE) readout (DANTE-GRE) was developed to obtain blood suppressed T2* maps. The proposed method is shown to acquire more accurate T2* maps due to its high SNR and effective blood signal suppression.

Introduction

T2* mapping can directly quantify the iron load of tissue, which is closely related to numerous diseases, such as thalassemia, hereditary hemochromatosis and sickle cell disease. However, blood signal would induce artifacts which lead to T2* estimation inaccurate. To address this issue, a novel black-blood T2* mapping technique utilizing Delay Alternating with Nutation for Tailored Excitation (DANTE) preparation module(1) followed by multi-echo gradient echo (GRE) readout (DANTE-GRE) was developed to acquire more accurate T2* maps.

Purpose

To eliminate the artifacts originating from flowing blood by effectively suppressing blood signal, consequently, to acquire accurately black-blood T2* map.

Methods

Figure 1 shows the sequence diagram of DANTE-GRE. The DANTE preparation module is followed by multi-echo GRE readouts to sample ten images with different contrasts in one TR.

To testify the accuracy of T2* map obtained by DANTE-GRE, both phantom and in vivo experiments were conducted on a 3T scanner (Siemens Tim Trio, Germany), and compared with those obtained by Motion-Sensitive Driven Equilibrium (MSDE) prepared multi-echo GRE readout (MSDE-GRE) (2) and conventional GRE.

In the phantom experiments, five SPIO solutions with different concentrations of 0.05 mmol/L, 0.08 mmol/L, 0.10 mmol/L, 0.15 mmol/L and 0.20 mmol/L, were mapped. Two groups of parameters for the DANTE module were conducted. The first one was to fix the pulse train length as 80 and vary the pulse flip angle from 10° to 20°. While the second one was to fix the pulse flip angle as 15° and vary the pulse train length from 25 to 150. For comparison, MSDE-GRE and conventional GRE were also conducted. The field of speed (FOS) for MSDE-GRE were set to 10 cm/s, 15 cm/s, 20 cm/s, 30 cm/s, 50 cm/s and 75 cm/s, respectively. The same parameters for the GRE readout were used for above experiments: TR’ = 300 ms and Tes = 49.5 ms. TEs ranged from 1.62 ms to 64.62 ms with gap 7 ms.

In the in vivo experiments, 12 healthy volunteers (5 males and 7 females) were recruited, and 7 of them were randomly chosen for neck scan and the others for lower limb scan. Parameters for the neck scan included: DANTE pulse flip angle of 15° and pulse train length of 80. GRE repetition time TR' of 300 ms and echo space Tes of 50.4 ms. TEs ranging from 1.62 ms to 46.62 ms with gap of 5 ms. Voxel size of 0.7×0.7×2 mm3, GRE flip angle of 30° and averages of 3. Parameters for the lower limb scan were: DANTE pulse flip angle of 15° and pulse train length of 100. GRE repetition time TR' of 300 ms and echo space Tes of 49.5 ms. TEs ranging from 1.4 ms to 46.4 ms with gap of 5 ms. Voxel size of 1.1×1.1×3 mm3, GRE flip angle of 40° and averages of 3. For MSDE-GRE and convertional GRE, the same parameters of GRE readout as those of DANTE-GRE were used. And the FOS of 37 cm/s was used for MSDE-GRE.

T2* maps acquired in all experiments were calculated by fitting ten images to a three-parameter model $$$S_{i}=A\cdot{exp(-TE_{i}/T_2^*)}+C$$$, where Si represents the sampled signal intensity, A is the signal amplitude and C is used to fit the noise. Levenberg-Marquardt algorithm in MATLAB was utilized to solve the above function.

Results and Discussions

Phantom experiments validate the superiority of DANTE-GRE over MSDE-GRE in acquiring less deteriorated maps (Figure 2a-c) because it provides higher SNR. Generally, quantitative analysis (Table 1) shows that T2* values calculated from DANTE-GRE and MSDE-GRE are smaller than GRE. However, DANTE-GRE calculated T2* values own smaller differences to GRE than MSDE-GRE. Moreover, standard deviations of DANTE-GRE are larger than GRE while smaller than MSDE-GRE in most cases. In the in vivo experiments, DANTE-GRE own better performance in suppressing signal from slow flowing blood than MSDE-GRE (Figure 3a). Images acquired by DANTE-GRE display much higher SNR than those of MSDE-GRE, even though lower than those of GRE (Figure 3a and 4a). Additionally, T2* maps acquired by DANTE-GRE from both neck and lower limb scans show more homogeneity than those by MSDE-GRE and GRE with less noise points around flow blood and muscle area.

Conclusion

Accurate T2* maps are obtained by DANTE-GRE due to its high SNR and effective blood signal suppression. Both the phantom and in vivo experiments demonstrated that DANTE-GRE may outperform MSDE-GRE and conventional GRE for T2* mapping.

Acknowledgements

This work was supported in part by the International Cooperation and Exchange of the National Science Foundation of China (No. 81328013, No. 81120108012), the National Natural Science Foundation of China (No. 81571669, No. 61201442, No.81501463), and the Natural Science Foundation of Shenzhen (No. GJHZ20150316143320494, No. JCYJ20140417113430603, No. KQCX2015033117354154).

References

1. Li L, Miller K L, Jezzard P. DANTE-prepared pulse trains: A novel approach to motion-sensitized and motion-suppressed quantitative magnetic resonance imaging[J]. Magnetic Resonance in Medicine, 2012, 68(5): 1423-1438.

2. Newbould R D, Owen D R J, Shalhoub J, et al. Motion-sensitized driven equilibrium for blood-suppressed T2* mapping[J]. Journal of Magnetic Resonance Imaging, 2011, 34(3): 702-709.

Figures

Figure 1. Sequence diagram of the DANTE preparation module combined with multi-echo GRE (DANTE-GRE). Ten echoes are sampled in a TR.

Figure 2. Representative T2* maps of the phantom obtained by DANTE-GRE (a & b), MSDE-GRE (c) and GRE (d). The T2* map is deteriorated along with the FOS decreasing in MSDE-GRE.

Figure 3. Representative results from neck scan. (a) The first images from ten contrasts acquired by GRE, DANTE-GRE and MSDE-GRE are displayed in the same window level, (b) The corresponding T2* maps. DANTE-GRE image shows higher SNR than MSDE-GRE (a) and map shows more homogeneity than MSDE-GRE and GRE (b).

Figure 4. Representative results from lower limb scan. (a) The first images from ten contrasts acquired by GRE, DANTE-GRE and MSDE-GRE are displayed in the same window level, (b) The corresponding T2* maps. Noise points occupy large area in MSDE-GRE acquired map.

Table 1. T2* values of five labeled solutions (Figure 2d) calculated from DANTE-GRE, MSDE-GRE and GRE acquired maps. Values are reported as mean±SD. DANTE-GRE shows more accurate T2* calculation than MSDE-GRE in most cases when being compared to GRE.



Proc. Intl. Soc. Mag. Reson. Med. 24 (2016)
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