Prog Med Phys.  2017 Dec;28(4):135-143. 10.14316/pmp.2017.28.4.135.

Physical Modeling of Chemical Exchange Saturation Transfer Imaging

Affiliations
  • 1Department of Radiology, Kyung Hee University Hospital at Gangdong, College of Medicine, Kyung Hee University, Seoul, Korea. ghjahng@gmail.com
  • 2Department of Radiology, Kyung Hee University Hospital, Kyung Hee University, Seoul, Korea.

Abstract

Chemical Exchange Saturation Transfer (CEST) imaging is a method to detect solutes based on the chemical exchange of mobile protons with water. The solute protons exchange with three different patterns, which are fast, slow, and intermediate rates. The CEST contrast can be obtained from the exchangeable protons, which are hydroxyl protons, amine protons, and amide protons. The CEST MR imaging is useful to evaluate tumors, strokes, and other diseases. The purpose of this study is to review the mathematical model for CEST imaging and for measurement of the chemical exchange rate, and to measure the chemical exchange rate using a 3T MRI system on several amino acids. We reviewed the mathematical models for the proton exchange. Several physical models are proposed to demonstrate a two-pool, three-pool, and four-pool models. The CEST signals are also evaluated by taking account of the exchange rate, pH and the saturation efficiency. Although researchers have used most commonly in the calculation of CEST asymmetry, a quantitative analysis is also developed by using Lorentzian fitting. The chemical exchange rate was measured in the phantoms made of asparagine (Asn), glutamate (Glu), γ-aminobutyric acid (GABA), glycine (Gly), and myoinositol (MI). The experiment was performed at a 3T human MRI system with three different acidity conditions (pH 5.6, 6.2, and 7.4) at a concentration of 50 mM. To identify the chemical exchange rate, the "lsqcurvefit" built-in function in MATLAB was used to fit the pseudo-first exchange rate model. The pseudo-first exchange rate of Asn and Gly was increased with decreasing acidity. In the case of GABA, the largest result was observed at pH 6.2. For Glu, the results at pH 5.6 and 6.2 did not show a significant difference, and the results at pH 7.4 were almost zero. For MI, there was no significant difference at pH 5.6 or 7.4, however, the results at pH 6.2 were smaller than at the other pH values. For the experiment at 3T, we were only able to apply 1 s as the maximum saturation duration due to the limitations of the MRI system. The measurement of the chemical exchange rate was limited in a clinical 3T MRI system because of a hardware limitation.

Keyword

CEST; physical model; exchange rate; 3T human MRI

MeSH Terms

Amino Acids
Asparagine
gamma-Aminobutyric Acid
Glutamic Acid
Glycine
Humans
Hydrogen-Ion Concentration
Inositol
Magnetic Resonance Imaging
Methods
Models, Theoretical
Protons
Stroke
Water
Amino Acids
Asparagine
Glutamic Acid
Glycine
Inositol
Protons
Water
gamma-Aminobutyric Acid

Figure

  • Fig. 1 Results of the exchange rate experiments with different pH values for asparagine (a), glutamate (b), GABA (c), glycine (d), and myoinositol (e) at 3T. The B1 amplitude was 3 μT and the concentration was 50 mM. Data points with different saturation durations are shown with a circle (pH 5.6), a cross (pH 6.2), and a triangle (pH 7.4). Results were plotted with a solid line at pH 5.6, a dashed line at pH 6.2, and a dotted line at pH 7.4.


Cited by  2 articles

Magnetic Resonance Imaging: Historical Overview, Technical Developments, and Clinical Applications
Geon-Ho Jahng, Soonchan Park, Chang-Woo Ryu, Zang-Hee Cho
Prog Med Phys. 2020;31(3):35-53.    doi: 10.14316/pmp.2020.31.3.35.

Preliminary Phantom Experiments to Map Amino Acids and Neurotransmitters Using MRI
Jang-Hoon Oh, Hyug-Gi Kim, Dong-Cheol Woo, Sun Jung Rhee, Soo Yeol Lee, Geon-Ho Jahng
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