Dian Liu1, Andreas Steingoetter1,2, Jelena Curcic1,2, and Sebastian Kozerke1
1Institute for Biomedical Engineering, University and ETH Zurich, Zurich, Switzerland, 2Division of Gastroenterology and Hepatology, University Hospital Zurich, Zurich, Switzerland
Synopsis
Dual and triple echo steady state (DESS
and TESS) schemes have enabled rapid measurements of transverse relaxation
times (T2). However, it has
been shown that TESS may result in errorneous T2 values when applied
to articular cartilage. Since cartilage is a multi-compartment tissue, chemical
shift-related signal fluctuations in the TESS echo modes need to be considered.
The purpose of this work was to investigate the accuracy of T2
quantification of multi-compartmental tissue using DESS and TESS based on
computer simulations, in vitro and in vivo measurements. Results show that multi-compartment effects can significantly limit the
accuracy of T2 quantification and hence require careful attention.Introduction
Pulse sequences such as the dual echo
steady state (DESS) or triple echo steady state (TESS) schemes have enabled
rapid measurements of transverse relaxation times (T
2) [1,2]. In contrast to DESS, TESS is robust against
systematic T
1 bias and static field homogeneities, thus delivering accurate
T
2 maps
in vitro [2]. However, it has been shown that TESS may
result in errorneous T
2 offsets when applied to articular cartilage
[3]. Cartilage is a multi-compartment tissue consisting of 65-80% water and the
remainder of macromolecules and lipids [4]. To this end, chemical shift-related
signal fluctuations in the TESS echo modes need to be considered and the
accuracy of T
2 quantification re-assessed. Accordingly, the purpose
of this work was to investigate the accuracy of TESS for T
2 quantification
of multi-compartmental tissue using computer simulations,
in vitro and
in vivo
experiments.
Methods
Numerical simulations: Bloch simulations were performed using the exact RF
pulse shapes and other experimental parameters of the in vitro experiments. A
simulated DESS protocol served as comparison. The multi-compartment effect was
studied by simulating the following four scenarios: (1) single-compartment
tissue; (2) two-compartment tissue, chemical shift 3.5 ppm, ratio 1:10; (3)
two-compartment tissue, chemical shift 3.5 ppm, ratio 1:5 and (4)
three-compartment tissue, chemical shift -0.4/4.0 ppm, ratio 1:1.5:10. Simulations
were repeated for a range of echo spacing values.
In vitro experiments: Phantom samples were prepared to match the four multi-compartment
scenarios: (1) Gd-doped water; (2) water-oil emulsion, 10% fat fraction; (3) water-oil
emulsion, 20% fat fraction and (4) rapeseed oil with its three largest peaks
corresponding to the three compartments. The samples were placed in a 1.5 T
whole-body MRI scanner (Achieva, Philips Healthcare, Best, the Netherlands)
with a standard 4-element receiver coil array. TESS scan parameters were: flip
angle 15°, FOV 100x100x30 m3, voxel size 1.0x1.0x3.0 mm3.
The first echo was fixed at TE 3.6 ms and the echo spacing was varied for
different scans according to dTE 3.0, 3.2, … 6.0 ms and correspondingly TR 13.3, 13.7, …
19.3 ms. As reference, a single slice from a single-echo spin echo (SE) and
multi-echo spin-echo (CPMG) sequence were acquired with TR 5000 ms and echo
times ranging from 10 to 100 ms (otherwise identical parameters).
In vivo experiments: Sagittal and axial human knee images were acquired with
scan parameters, FOV 200x200x30 mm3, voxel size 1.5x1.5x3.0 mm3
and otherwise identical parameters as in vitro.
Post-processing: T2 maps were generated from the
reference data using a standard exponential fit. Mean T2 ± standard
deviation were calculated in regions of interest (ROI).
Results
Fig. 1 shows the
signal intensities of the TESS echo modes as a function of echo spacing for the different scenarios.
The single-compartment scenario showed slowly and little varying modes. The
multi-compartment scenario, however, exhibited a strong echo time dependency,
resulting in oscillatory fluctuations of the modes and deviations from the expected
signal intensities as evident from simulations (
Fig. 1a) and measurement (
Fig.
1b). This effect was not observed in DESS (
Fig 1c). Estimated T
2 values of the scenarios are given
in
Table 1. TESS produced varying results dependent on the choice of echo times.
Fig. 2 displays T
2 maps of
the knee acquired using the CPMG sequence as reference and using TESS with
varying echo times. The T
2 values of cartilage and muscle derived
from TESS were approximately 3 times larger compared to the corresponding CPMG values. The choice of echo
spacing caused variations of up to 32% (
Table
1).
Discussion
In
comparison to T
2 quantification with DESS, the accuracy of TESS is
influenced by the presence of multiple compartments in tissue causing chemical
shift induced echo signal fluctuations. Interestingly, these errors could also be
observed in pure fat. Although
in vivo imaging was limited to the knee in order
to avoid additional errors from motion, the presented findings are applicable
to the characterization of a variety of tissues. Especially for hepatic and
gastrointestinal applications the here described effect of the fat compartment is
most likely to be more pronounced.
Conclusion
While T
2
quantification of TESS is feasible in homogeneous tissue, multi-compartment
effects limit its accuracy and therefore the interpretation of the measured T
2
values must be undertaken with caution.
Acknowledgements
No acknowledgement found.References
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