Bijaya Thapa1,2, Azma Mareyam1, Jason Stockmann1,2, Boris Keil3, Philipp Hoecht4, Zhe Wang5, Yulin V. Chang5, Stefan Carp1,2, Xianqi Li1,2, Bernhard Strasser1,2, Lawrence Wald1,2, and Ovidiu C. Andronesi1,2
1Dept. of Radiology, MGH, A. A. Martinos Center for Biomedical Imaging, Charlestown, MA, United States, 2Harvard Medical School, Boston, MA, United States, 3Mittelhessen University of Applied Science, Giessen, Germany, 4Siemens Healthcare, Erlangen, Germany, 5Siemens Medical Solutions USA, Charlestown, MA, United States
Synopsis
Absolute quantification of metabolite concentration from
MRSI data requires a reference signal of known concentration. An external synthetic
electronic reference signal method (Electronic REference To
access In vivo Concentrations – ERETIC) has
shown great promise for absolute quantification and calibration. However, ERETIC
based absolute quantification is challenging for MR spectroscopic imaging
(MRSI) data and here we set on investigating strategies and performance of
ERETIC in combination with MRSI and multi-channel receive arrays.
INTRODUCTION
For 1H-MRSI the water signal is typically used
as internal reference assuming a known concentration. However, in disease
conditions water content varies due to inflammation, edema and cell death. The
external synthetic electronic reference (Electronic REference To
access In vivo Concentrations – ERETIC1-2 has shown great promise
to avoid these biases while mitigating coil loading differences from phantom
replacement calibrations. The absolute
quantification of metabolite can be achieved by injecting a calibrated ERETIC
reference signal using a micro-coil coupled inductively with the receive RF
coil during acquisition of MR signal2. A particular challenge with
the use of ERETIC in MRSI experiments arise from the fact that ERETIC signal
does not see the localization gradients of the pulse sequence3 .
In addition, ERETIC has not been yet demonstrated with multi-channel receive
array coils. In this work we used a custom build ERETIC hardware and receive
array coil and investigated localization strategies for ERETIC signal in MRSI
experiments.METHOD
We build an 8-channel receive array RF coil (trapezoidal
shaped elemental coil: anterior two coils of dimension: 11 x 11 x11 x 6 cm and
6 lateral and posterior coils of dimension: 17 x 11 x 17 x 6 cm) on the 3D
printed head frame designed using Rhinoceros cadsoftware as shown in Fig. 1(a-b)
for the whole brain imaging. A low power ERETIC signal was synthesized from TTX
port of the scanner (3T Tim Trio, Siemens) and optical signal transmission line was
used to send ERETIC from TTX to
8-channel receive array as previously proposed4 in order to eliminate the parasitic coupling and
variability of ERETIC signal with RF coax cables. An ERETIC micro-coil of was placed at an
equidistance from the apex of the RF coils, or a distributed ensemble of ERETIC
coils (diameter 3 mm and 3 turns) was used for the uniform excitation of the
array coil by ERERTIC pulse. Fig.1 depicts the photograph of (a) an 8 channel
receive only human brain dedicated RF coil with trapezoidal elements, (b) the
coil with cover, and (c) RF over fiber link consisting of a PIN diode, optical
fiber, and photo diode for the transmission of ERETIC pulse. The ERETIC signal
was programmed inside the MRSI pulse sequence and was controlled by the host
computer of the Siemens scanner. A 2D LASER-MRSI5 sequence (TR/TE=1500/45 ms)
with FOV=220x220, matrix 22x22, 20 mm thickness was used for metabolite
localization, An ERETIC FID (8 Hz Lorentzian line at -0.5 ppm offset from DSS,
6oo ms duration) was transmitted during acquisition of the MRSI signal. A basis set was simulated with the ERETIC
signal included and data were fitted with LCModel6 . The method was tested in two phantoms and two
healthy volunteers.RESULTS
Our aim was to encode ERETIC signal in all the MRSI voxels
to provide a reference for all brain regions. Previous demonstrations showed
ERETIC encoded only in the center voxel of the MRSI data3. Although ERETIC signal does not sense the gradient localization of the pulse
sequence, the amplitude and phase of the ERETIC can be altered as to encode a
certain k-space pattern. The MRSI
spectral grid with in vivo brain metabolites and ERETIC signal obtained from one
volunteer is shown in Fig. 2. In Fig 2a,
the entire spectral range of metabolites
+ ERETIC (4.2 to -1.5 ppm) is shown throughout the volume of interest, while
Fig2b shows the metabolite spectral range (4.2 to 0.8 ppm), and Fig 2c shows
the ERETIC spectral range (0.5 to -1.5
ppm). Encoding of the ERETIC signal can be noted in all the MRSI voxels with
comparable signal amplitude. Fig. 3 reflects the LCModel fitting, with a map of
N-Acetyl-aspartate (NAA) and ERETIC signal. Fig. 3b represents the LCModel
fitting of metabolites and ERETIC signal obtained from a representative voxel
(blue outlined) in NAA map in Fig 3a or ERETIC signal map in Fig. 3c.
DISCUSSION
These preliminary data indicate that integration of ERETIC
with clinical scanners, receive arrays and different spatial encoding
strategies are possible and promising for absolute quantification of MRSI data.
Further investigation and demonstration in patients with brain tumors is
underway.CONCLUSION
Combination of ERETIC and receive arrays for MRSI with
multivoxel localization of ERETIC is possible and might be used for absolute
quantification.Acknowledgements
This work is supported by NIH (1R01CA211080-02).References
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