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Article

Improving B0 Correction for pH-Weighted Amine Proton Chemical Exchange Saturation Transfer (CEST) Imaging by Use of k-Means Clustering and Lorentzian Estimation

by
Jingwen Yao
1,2,3,
Dan Ruan
4,
Catalina Raymond
1,2,
Linda M. Liau
6,
Noriko Salamon
2,
Whitney B. Pope
2,
Phioanh L. Nghiemphu
5,
Albert Lai
5,
Timothy F. Cloughesy
5 and
Benjamin M. Ellingson
1,*
1
UCLA Brain Tumor Imaging Laboratory (BTIL), Center for Computer Vision and Imaging Biomarkers, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA 90024, USA
2
Department of Radiological Sciences, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA 90024, USA
3
Department of Bioengineering, Henry Samueli School of Engineering and Applied Science, University of California Los Angeles, Los Angeles, CA 90024, USA
4
Departments of Radiation Oncology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA 90024, USA
5
Departments of Neurology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA 90024, USA
6
Departments of Neurosurgery, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA 90024, USA
*
Author to whom correspondence should be addressed.
Tomography 2018, 4(3), 123-137; https://doi.org/10.18383/j.tom.2018.00017
Submission received: 5 June 2018 / Revised: 6 July 2018 / Accepted: 5 August 2018 / Published: 1 September 2018

Abstract

Amine chemical exchange saturation transfer (CEST) echoplanar imaging (EPI) provides unique pH and amino acid MRI contrast, enabling sensitive detection of altered microenvironment properties in various diseases. However, CEST contrast is sensitive to static magnetic field (B0) inhomogeneities. Here we propose 2 new B0 correction algorithms for use in correcting pH-weighted amine CEST EPI based on k-means clustering and Lorentzian fitting of CEST data: the iterative downsampling estimation using Lorentzian fitting and the 2-stage Lorentzian estimation with 4D polynomial fitting. Higher quality images of asymmetric magnetization transfer ratio (MTRasym) at 3.0 ppm could be obtained with the proposed algorithms than with the existing B0 correction methods. In particular, the proposed methods are shown to improve the intertissue consistency, interpatient consistency, and tumor region signal-to-noise ratio of MTRasym at 3.0 ppm images, with nonexcessive computation time.
Keywords: chemical exchange saturation transfer; B0 correction; amine CEST EPI; pH-weighted MRI chemical exchange saturation transfer; B0 correction; amine CEST EPI; pH-weighted MRI

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MDPI and ACS Style

Yao, J.; Ruan, D.; Raymond, C.; Liau, L.M.; Salamon, N.; Pope, W.B.; Nghiemphu, P.L.; Lai, A.; Cloughesy, T.F.; Ellingson, B.M. Improving B0 Correction for pH-Weighted Amine Proton Chemical Exchange Saturation Transfer (CEST) Imaging by Use of k-Means Clustering and Lorentzian Estimation. Tomography 2018, 4, 123-137. https://doi.org/10.18383/j.tom.2018.00017

AMA Style

Yao J, Ruan D, Raymond C, Liau LM, Salamon N, Pope WB, Nghiemphu PL, Lai A, Cloughesy TF, Ellingson BM. Improving B0 Correction for pH-Weighted Amine Proton Chemical Exchange Saturation Transfer (CEST) Imaging by Use of k-Means Clustering and Lorentzian Estimation. Tomography. 2018; 4(3):123-137. https://doi.org/10.18383/j.tom.2018.00017

Chicago/Turabian Style

Yao, Jingwen, Dan Ruan, Catalina Raymond, Linda M. Liau, Noriko Salamon, Whitney B. Pope, Phioanh L. Nghiemphu, Albert Lai, Timothy F. Cloughesy, and Benjamin M. Ellingson. 2018. "Improving B0 Correction for pH-Weighted Amine Proton Chemical Exchange Saturation Transfer (CEST) Imaging by Use of k-Means Clustering and Lorentzian Estimation" Tomography 4, no. 3: 123-137. https://doi.org/10.18383/j.tom.2018.00017

APA Style

Yao, J., Ruan, D., Raymond, C., Liau, L. M., Salamon, N., Pope, W. B., Nghiemphu, P. L., Lai, A., Cloughesy, T. F., & Ellingson, B. M. (2018). Improving B0 Correction for pH-Weighted Amine Proton Chemical Exchange Saturation Transfer (CEST) Imaging by Use of k-Means Clustering and Lorentzian Estimation. Tomography, 4(3), 123-137. https://doi.org/10.18383/j.tom.2018.00017

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