Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
365-05-012 ISMRM Abstract

Tensor-Based MPPCA Denoising for Multi-Band Resting-State Functional Magnetic Resonance Imaging Data

Accepted
Feng Fang 1, Guangyu Dan1, Zheng Zhong1, Hongyu Li1, Shruti Agarwal2, Qi Liu1
1United Imaging Healthcare North America, Houston, United States of America
2McGovern Medical School at UTHealth, Houston, United States of America
Presenting Author: Feng Fang

Synopsis

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References

1. Preibisch, C., Castrillón G, J. G., Bührer, M., & Riedl, V. (2015). Evaluation of multiband EPI acquisitions for resting state fMRI. PloS one, 10(9), e0136961.
2. Pavlovich, K., Pang, J., Holmes, A., Constable, T., & Fornito, A. (2025). The efficacy of resting-state fMRI denoising pipelines for motion correction and behavioural prediction. Imaging Neuroscience, 3, IMAG-a.
3. Olesen, J. L., Ianus, A., Østergaard, L., Shemesh, N., & Jespersen, S. N. (2023). Tensor denoising of multidimensional MRI data. Magnetic resonance in medicine, 89(3), 1160-1172.
4. Moeller, S., Pisharady, P. K., Ramanna, S., Lenglet, C., Wu, X., Dowdle, L., ... & Akçakaya, M. (2021). NOise reduction with DIstribution Corrected (NORDIC) PCA in dMRI with complex-valued parameter-free locally low-rank processing. Neuroimage, 226, 117539.
5. Yang, H., Long, X. Y., Yang, Y., Yan, H., Zhu, C. Z., Zhou, X. P., ... & Gong, Q. Y. (2007). Amplitude of low frequency fluctuation within visual areas revealed by resting-state functional MRI. Neuroimage, 36(1), 144-152.
6. Woletz, M., Hoffmann, A., Tik, M., Sladky, R., Lanzenberger, R., Robinson, S., & Windischberger, C. (2019). Beware detrending: Optimal preprocessing pipeline for low‐frequency fluctuation analysis. Human brain mapping, 40(5), 1571-1582.

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