0538 ISMRM Abstract

Improved across-scanner reproducibility using vendor-agnostic diffusion sequences

0538 · Quality Methods & Approaches for Multi-Site Studies · Tuesday, 7 May, 1:30 PM–3:30 PM · Room 325-326

Keywords: Diffusion Acquisition Diffusion Tensor Imaging

Accepted

Qiang Liu ^1,2, Lipeng Ning¹, Imam A Shaik¹, Borjan Gagoski³, Berkin Bilgic^4,5, William A Grissom⁶, Jon-Fredrik Nielsen⁷, Maxim Zaitsev⁸, Yogesh Rathi¹

¹Brigham and Women’s Hospital, Harvard Medical School, Boston, United States of America

²School of Biomedical Engineering, Southern Medical University, Guangzhou, China

³Fetal-Neonatal Neuroimaging and Developmental Science Center, Boston Children’s Hospital, Harvard Medical School, Boston, United States of America

⁴Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Boston, United States of America

⁵Department of Radiology, Harvard Medical School, Boston, United States of America

⁶Department of Biomedical Engineering, Case School of Engineering, Case Western Reserve University, Cleveland, United States of America

⁷fMRI Laboratory and Biomedical Engineering, University of Michigan, Ann Arbor, United States of America

⁸Division of Medical Physics, Department of Radiology, University Medical Center Freiburg, Freiburg, Germany

Presenting Author: Qiang Liu

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References

1. Johansen-Berg H, Behrens TEJ. Diffusion MRI: From Quantitative Measurement to in Vivo Neuroanatomy. Academic Press.

2. Min J, Park M, Choi JW, Jahng GH, Moon WJ. Inter-vendor and inter-session reliability of diffusion tensor imaging: Implications for multicenter clinical imaging studies. Korean J Radiol 2018;19:777–82.

3. Karakuzu, A., Biswas, L., Cohen-Adad, J. & Stikov, N. Vendor-neutral sequences and fully transparent workflows improve inter-vendor reproducibility of quantitative MRI. Magn Reson Med 2022; 88:1212–1228.

4. Zhu T, Hu R, Qiu X, et al. Quantification of accuracy and precision of multi-center DTI measurements: A diffusion phantom and human brain study. Neuroimage 2011;56:1398–411.

5. Palacios EM, Martin AJ, Boss MA, et al. Toward precision and reproducibility of diffusion tensor imaging: A multicenter diffusion phantom and traveling volunteer study. American Journal of Neuroradiology 2017;38:537–45.

6. Malyarenko D, Galbán CJ, Londy FJ, et al. Multi-system repeatability and reproducibility of apparent diffusion coefficient measurement using an ice-water phantom. Journal of Magnetic Resonance Imaging 2013;37:1238–46.

7. Layton KJ, Kroboth S, Jia F, et al. Pulseq: A rapid and hardware-independent pulse sequence prototyping framework. Magn Reson Med 2017;77:1544–52.

8. Nielsen JF, Noll DC. TOPPE: A framework for rapid prototyping of MR pulse sequences. Magn Reson Med 2018;79:3128–34.

9. Matheson, G. J. We need to talk about reliability: Making better use of test-retest studies for study design and interpretation. PeerJ 2019.

10. Phantom Metrics “https://pstnet.com/products/mri-diffusion-calibration-phantom/”

Cite this abstract

http://echo.ismrm.org/p/ISMRM2024/0538