Qiuhong He1,2, Hong Yuan2,3, and Yen-Yu Ian Shih1,2,4
1Center for Animal MRI, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States, 2Biomedical Research Imaging Center (BRIC), University of North Carolina at Chapel Hill, Chapel Hill, NC, United States, 3Department of Radiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States, 4Department of Neurology, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States
Synopsis
We have developed the phase-incrementing MRSI (pi-MRSI) method to resolve overlapping biomarker images in the presence of a frequency encoding gradient during acquisition time. We report here the pi-SEE-HSelMQC experiments on a pre-clinical
Bruker 9.4T spectrometer. The
choline-selective and lactate CH-selective RF pulses in the pulse sequence were
phase incremented by 10° in opposite signs in synchronization with the
phase-encoding steps. In vivo two-dimensional
pi-SEE-HSelMQC imaging of lactate and choline acquired from the PC3 human
prostate cancer xenograft in a nude mouse showed opposite image offsets, shifted
away from spurious signals. The
pi-SEE-HSelMQC method completely suppresses lipid and water.
Introduction
In MR spectroscopic imaging (MRSI), magnetic
field gradients are not often applied during data acquisition time to avoid image
overlapping of different biomarkers and spurious signals including unsuppressed
residual water and lipids. Chemical
Shift Imaging (CSI), the monumental MRSI development, replaces the frequency
encoding gradient with an additional dimension of phase encoding.1 Therefore, the CSI experiments
require substantially longer scan time than MRI. Previously, we have developed the selective
multiple-quantum coherence transfer (Sel-MQC),2 the spin-echo enhanced Sel-MQC (SEE-SelMQC),3 and the Molecular-Specific Coherence Sel-MQC (MSC-SelMQC)4 methods for spectroscopic imaging in tissues containing high level of
mobile lipid. These methods have
employed multidimensional CSI phase-encoding schemes for multi-voxel mapping of
biomarker spatial distributions with excellent water and lipid suppression. Metabolites,2,3 anti-neoplastic agents,5 and polyunsaturated fatty acids (PUFA)6 were successfully detected in mouse tumor models, healthy human breast
tissues and human breast cancer. To
speed up the Sel-MQC spectroscopic imaging,7 we have replaced the CSI phase-encoding gradients with a spiral k-space
mapping scheme, achieving about 150 fold increase of PUFA imaging speed. Nevertheless, the spiral gradients were applied during data
acquisition time in the Spiral-SelMQC method, in which the biomarkers can only be imaged
one at a time to avoid biomarker signal overlapping. To augment efficiency, we have recently developed
the novel phase-incrementing MRSI (pi-MRSI) approach for fast imaging of multiple
metabolites. Here
we report results from the pi-SEE-HSelMQC method, modified from the SEE-SelMQC
CSI sequence3 by replacing a phase encoding dimension with the frequency-encoding
gradient. The overlapping biomarker images
were resolved by synchronized RF phase incrementing and phase encoding steps. Methods
The pi-MRSI principle
was demonstrated in phantoms and in vivo using mouse tumor models on a Bruker
9.4T BioSpec 94/30USR MRI spectrometer (AVII PV 6.0.1) for multi-biomarker
imaging. The system has a BFG-240/120-S13B shielded gradient (12cm bore size)
with the maximum gradient of 999.63, 1,001.9, and 1,001.6 mT/m in x-, y-, and
z-directions, respectively. In the pi-SEE-HSelMQC method (Fig. 1A), a read-gradient was
applied for lactate (or PUFA) and choline imaging, similar to that in a
classical MRI experiment. The
slice selection was achieved using a slice-selective 180° pulse, similar to the original SEE-SelMQC method.3 To synchronize with the phase encoding
steps, the RF phases of the choline-selective 90° pulse (θ) at 3.2ppm and the
lactate-CH selective 90° pulse (ψ) at 4.2ppm for MQ transfer to SQ modes [or
alternatively the lactate CH-selective 90° pulse (φ) for MQ-preparation] were
incremented by -10° and 10°, respectively. This introduced opposite image offsets to
lactate and choline signals and resolved image overlapping of the two
biomarkers, away from the residual water and lipid signals. Results
The 2D pi-SEE-HSelMQC
images of choline and lactate were obtained from fresh Dannon whole milk yogurt
in a 50 mL conical tube using the Bruker 35 mm quadrature volume coil. Opposite choline and
lactate imaging offsets were introduced in the phase-encoding direction, shifting
choline and lactate images away from the residual water in the image center (Fig. 1B). Bandwidth = 10 kHz; FOV = 128 x 144 mm2; image matrix size = 128 x
72. T1 relaxation delay = 1.5s. The pi-MRSI scan took 1.48 min. We have also carried out the
corresponding pi-SEE-SelMQC CSI experiments (Fig. 2A) to observe the imaging offsets
introduced to lactate (or PUFA) and choline signals (Fig. 2B-C). Next, we performed in vivo 2D pi-SEE-HSelMQC imaging with the frequency-encoding
read-gradient (Fig. 1A) on a PC3 prostate tumor grown in the
right flank of nu/nu mouse (Fig. 3A). The tumor
lactate and choline images were detected with opposite image offsets away from
the image center (Fig. 3B),
due to -10° and 10° phase increments of the choline selective RF pulse and the
last lactate CH selective RF pulse, respectively, in synchronization with the
phase encoding steps. The residual water
and lipid signals stay at the image center, not overlapping with the resolved
lactate and choline images. Tumor size:
16.05 mm x 12.50 mm x 8.31mm. Bandwidth
= 5000Hz.
Image matrix size = 32 x 54, FOV = 90 x 90mm2. The gradient ratio g0:
g1: g2: g3 = 12%: 0: -12%: 24% and gcr = 5%, with an equal gradient duration of
1 ms. In an in vivo 1D pi-SEE-HSelMQC CSI experiment, an
orthotopic MDA-MB-231 human mammary adenocarcinoma xenograft tumor was studied
with a home-made RF gap resonator fitting the tumor size of 13.15mm x 10.61mm x
9.19mm. The tumor lactate and choline spectra presented opposite image offsets
in the phase encoding direction, away from the residual spurious water signal
at the image center (Fig. 4). The choline-selective and MQ-coherence gradient
ratio was g0: g1: g2: g3 = 15%: 0: -15%: 30%. In a control experiment, we set
g0: g1: g2: g3 = 0: 0: -15%: 30% without refocusing choline signal. Only lactate was detected in the control experiment
(Fig. 5). Conclusion
By synchronizing the
biomarker-selective RF phase increments and the spatial phase encoding steps,
the pi-MRSI method has resolved overlapping biomarker MR images in the presence
of read gradient. The novel fast pi-MRSI imaging of multiple biomarkers with 3D Cartesian and non-Cartesian k-space
mapping have many potential clinical applications in human disease diagnosis
and monitoring therapeutic interventions.Acknowledgements
We thank the funding support from
Linebarger Comprehensive Center (P30 CA016086), Bowles Center for Alcohol
Studies (P60 AA011605), and Carolina Institute for Developmental Disabilities
(U54 HD079124) for Center for Animal MRI facilities at UNC-CH. We are grateful to the Xsos imaging analysis program provided
by Dr. Diokma C. Shungu from the Weill Cornell Medical College,
New York City, NY.References
1. Brown TR, et
al., “NMR chemical shift imaging in three dimensions,” Proc Natl Acad Sci U S
A. 1982 Jun; 79 (11):3523-26.
2. Qiuhong He, et
al, “Single Scan In Vivo Lactate Editing with Complete Lipid and Water Suppression
by Selective Multiple Quantum Coherence Transfer with Application in Tumors,”
J. Magn. Reson., Series B 106, 203-11 (1995).
3. Qiuhong He et
al., “Proton Detection of Choline and Lactate in EMT6 Tumors by
Spin-Echo-Enhanced Selective Multiple-Quantum-Coherence Transfer,” J. Magn.
Reson., Series B 111, 18-25 (1996).
4. Qiuhong He,
“Simultaneous mapping of multiple chemicals with suppression of unwanted
signals via molecular specific coherence (MSC)-SelMQC (selective multiple
quantum coherence).” U.S. Patent No. 9,285,443.
5. Qiuhong He, et
al., “Proton NMR Observation of the Antineoplastic Agent Iproplatin In Vivo by
Selective Multiple Quantum Coherence Transfer (Sel‐MQC),” Magn. Reson. Med. 33, 414-16
(1995).
6. Qiuhong He, et
al., “In vivo MR spectroscopic imaging of polyunsaturated fatty acids (PUFA) in
healthy and cancerous breast tissues by selective multiple‐quantum coherence transfer (Sel‐MQC): A preliminary study,” Magn. Reson.
Med. 58, 1079-1085 (2007).
7. Zhu, et al.,
“The fast spiral‐SelMQC
technique for in vivo MR spectroscopic imaging of polyunsaturated fatty acids
in human breast tissue,” Magn. Reson. Med. 67, 8-19 (2012).