Jie Yang1, Yujian liu1,2, Wenjia Hang1, Meining Chen3, Jianqi Li4, Yinqiao Yi4, Haodong Zhong4, and Xu Yan3
1Department of Radiology, Zigong First People's Hospital, Zigong, China, 2Sichuan Vocational College of Health and Rehabilitation, Zigong, China, 3MR Scientific Marketing, Siemens Healthineers, Shanghai, China, 4Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, Shanghai, China
Synopsis
Keywords: Image Reconstruction, MSK
Quantitative imaging of intervertebral disc
degeneration is important for the diagnosis of lower back pain. In our study, a
simulTaneous multi-relaXation-time Imaging (TXI) method was evaluated, which
generated bone marrow fat fraction (PDFF), R2*
and R1 mapping within a single scan. The results showed that the BMFF, T2*, T1 mapping calculated
from TXI method were close to the values
reported in other studies for lumbar discs.
Introduction
Lower back
pain(LBP) is a common health problem that has been shown to be related to
intervertebral disc (IVD) degeneration1. MRI is a useful tool to
characterize IVD degeneration due to its excellent spinal soft-tissue contrast.
T2* mapping allows assessment of the ultrastructural tissue
composition of the IVD by providing information regarding the spatial
architecture of the macromolecules and the mobility of water molecules2,
and it correlates with functional lumbar
mechanics3. T1 mapping has been widely used in cartilage
degeneration4 and has been shown to be correlated to the water
content5. Additional studies have confirmed that significant
associations between bone marrow fat fraction (BMFF) and T1ρ/T2 mapping in the adjacent IVD
and suggest that the conversion of hematopoietic bone marrow to fatty bone
marrow impairs the supply of available nutrients to cells in the IVD and may
thereby accelerate disc degeneration6. While these techniques need
scan independently, which take more acquisition time and the joint analysis of
multiple sequences have great challenge due to image registration. To
accelerate the acquisition and improve joint analysis accuracy, a simultaneous
multi-relaxation-time Imaging (TXI) method was introduced to simultaneously
calculate BMFF, T2* and T1 values. The aim of this study was to explore
the feasibility of TXI method in healthy subjects’ IVD and to research an
interplay between the IVD and the adjacent bone marrow.
Materials and Methods
MR imaging: Five healthy volunteers were recruited and underwent MR
imaging on a 3T MRI scanner (MAGNETOM VIDA, Siemens Healthcare, Erlangen,
Germany). The acquisition of
TXI method contains two multi-point quantitative Dixon (qDixon) sequence with
two different flip angles and B1 mapping scan. The qDixon sequence was scanned with the following parameters: TR = 12.4 ms, TE1/TE6/𝜟TE = 1.07/10.12/1.81ms, FA1 = 4° and FA2 = 22° , FOV = 380 × 336 mm2, matrix size = 224 ×177, pixel bandwidth
= 260Hz/pixel, in-plane resolution = 1 ×
1mm2 , slice thickness = 3mm, number of slices=48. Prior to the T1 mapping, a 9 second B1 mapping was acquired using a
double-angle method with a nonselective preparation pulse (flip angles of 33°
and 66°) followed by a fast spin-echo readout (ETL =7).
Quantification Algorithm:
The algorithm of
TXI method contains 4 steps: 1) water, fat signal and T2* map at 4˚ flip-angle were calculated by the T2*-IDEAL
algorithm, based on a single T2* and 9-peak fat model, with the inhomogeneity
magnetic field initialized by Spurs-gc algorithm7; 2) BMFF was
calculated by dividing fat signal by total signal (fat+water). 3) The
additional B1 map was used for correction, which was interpolated to the same size
of water signals images; 4) In order to avoid severe T2* dephasing effects at
longer TEs, only the first echo in qDixon were used for T1 mapping processing.
The water signals at 2 flip angles and the interpolated B1 map were then used
to calculate T1 map using equation S(FA) = water(FAb1) × sin(FA
b1) × (1 – exp(-TR/T1) / (1 – cos(FA b1) × exp(-TR/T1))8,
where FA b1 was flip angle corrected by B1 map. The algorithm was implemented
in Matlab 2018b and Python 3.5.
Image analysis: Region of interests (ROIs)
were manually defined in covering the entire IVD to calculate the T2*
and T1 value, and entire vertebra to calculate BMFF. Three subregions in each
of the lumbar IVD were drawn: the anterior 1/5 part representing the anterior
annulus fibrosus (AAF), the medial 3/5 part representing nucleus pulposus (NP), and the posterior 1/5
part representing the posterior annulus fibrosus (PAF) region.
Statistical Analysis: The mean T1 values in each subregion from
each IVD were calculated and compared between acquisitions with and without the
B1 correction using the independent samples t-test, with a significant level
set to p<0.05. All analyses were
done using SPSS software (version 25.0).
Results
Simultaneously T1, T2*, BMFF
mapping by TXI method exhibited good signal-noise-ratio and artifact-free
images (Figure 1). A clear visualization of the fat distribution in
the vertebral body, including the lumbar vertebrae and some of the thoracic
vertebrae. The annulus fibrosus (AF) and NP of each individual IVDs from L1/L2
to L5/S1 were clear displayed on T1, T2* mapping. Significant difference between T1
mappings with and without B1 correction could be discerned via visual
inspection(p = 0.02)(Figure 2), where both the AF/NP and cerebrospinal fluid were more
homogeneously displayed on images acquired with B1 correction. Table 1 shows
the mean BMFF, T2*, T1values for the entire vertebrae, IVD, and the subregions
of the IVD (AAP, NP, PAF). A significant increase in BMFF was found from L1 to
L5.
Discussion & Conclusion
In this study, we demonstrated the
feasibility of TXI method for quantifying lumbar discs by calculating the
quantification images, including BMFF, T2*, T1
mapping, which were close to the values reported in the other studies2-6. Few studies has yet combined the BMFF, T2*, T1 mapping to quantify IVD disease by
the disc water content, molecular interactions, and spatial structural changes
in macromolecules9.
In conclusion, TXI method can achieve
quantitative analysis of vertebrae and intervertebral discs, which played an
important role in the study of degenerative disc disease.
Acknowledgements
No acknowledgement found.References
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