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Young IR, Szeverenyi NM, Du J, et al. Pulse sequences as tissue property filters (TP-filters): a way of understanding the signal, contrast and weighting of magnetic resonance images. Quant Imaging Med Surg. 2020;10(5):1080-1120doi: 10.21037/qims.2020.04.07.
Young, I. R., Szeverenyi, N. M., Du, J., & Bydder, G. M. (2020). Pulse sequences as tissue property filters (TP-filters): a way of understanding the signal, contrast and weighting of magnetic resonance images. Quantitative imaging in medicine and surgery, 10(5), 1080-1120. https://doi.org/10.21037/qims.2020.04.07
Young, Ian R, et al. "Pulse sequences as tissue property filters (TP-filters): a way of understanding the signal, contrast and weighting of magnetic resonance images." Quantitative imaging in medicine and surgery vol. 10,5 (2020): 1080-1120. doi: https://doi.org/10.21037/qims.2020.04.07
Young IR, Szeverenyi NM, Du J, Bydder GM. Pulse sequences as tissue property filters (TP-filters): a way of understanding the signal, contrast and weighting of magnetic resonance images. Quant Imaging Med Surg. 2020 May;10(5):1080-1120. doi: 10.21037/qims.2020.04.07. PMID: 32489930; PMCID: PMC7242304.
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Quant Imaging Med Surg. 2020 May;10(5):1080-1120. doi: 10.21037/qims.2020.04.07.

Pulse sequences as tissue property filters (TP-filters): a way of understanding the signal, contrast and weighting of magnetic resonance images.

Quantitative imaging in medicine and surgery

Ian R Young, Nikolaus M Szeverenyi, Jiang Du, Graeme M Bydder

Affiliations

  1. Formerly Department of Electrical Engineering, Imperial College of Science, Technology, and Medicine, London, UK.
  2. Department of Radiology, University of California San Diego, San Diego, USA.

PMID: 32489930 PMCID: PMC7242304 DOI: 10.21037/qims.2020.04.07

Abstract

This paper describes a quantitative approach to understanding the signal, contrast and weighting of magnetic resonance (MR) images. It uses the concept of pulse sequences as tissue property (TP) filters and models the signal, contrast and weighting of sequences using either a single TP-filter (univariate model) or several TP-filters (the multivariate model). For the spin echo (SE) sequence using the Bloch equations, voxel signal intensity is plotted against the logarithm of the value of the TPs contributing to the sequence signal to produce three TP-filters, an exponential ρ

2020 Quantitative Imaging in Medicine and Surgery. All rights reserved.

Keywords: Magnetic resonance (MR) imaging; contrast; filters; phase; pulse sequences; quantitation; signal; tissue properties (TPs); weighting

Conflict of interest statement

Conflicts of Interest: All authors have completed the ICMJE uniform disclosure form (available at http://dx.doi.org/10.21037/qims.2020.04.07). JD serves as an unpaid editorial board member of Quantita

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