MR multitasking-based dynamic imaging for cerebrovascular evaluation (MT-DICE): Simultaneous quantification of permeability and leakage-insensitive perfusion by dynamic [Formula: see text] mapping

Zhehao Hu; Anthony G Christodoulou; Nan Wang; Yibin Xie; Mark S Shiroishi; Wensha Yang; Gabriel Zada; Frances E Chow; Ashley S Margol; Benita Tamrazi; Eric L Chang; Debiao Li; Zhaoyang Fan

doi:10.1002/mrm.29431

MR multitasking-based dynamic imaging for cerebrovascular evaluation (MT-DICE): Simultaneous quantification of permeability and leakage-insensitive perfusion by dynamic $T_{1} / T_{2}^{*}$ mapping

Magn Reson Med. 2023 Jan;89(1):161-176. doi: 10.1002/mrm.29431. Epub 2022 Sep 21.

Authors

Zhehao Hu^{1

2

3}, Anthony G Christodoulou^{2

3}, Nan Wang², Yibin Xie², Mark S Shiroishi¹, Wensha Yang⁴, Gabriel Zada⁵, Frances E Chow⁵, Ashley S Margol⁶, Benita Tamrazi⁷, Eric L Chang⁴, Debiao Li^{2

3}, Zhaoyang Fan^{1

2

4

8}

Affiliations

¹ Department of Radiology, University of Southern California, Los Angeles, California, USA.
² Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA.
³ Department of Bioengineering, University of California, Los Angeles, California, USA.
⁴ Department of Radiation Oncology, University of Southern California, Los Angeles, California, USA.
⁵ Department of Neurosurgery, University of Southern California, Los Angeles, California, USA.
⁶ Department of Neuro-oncology, Children's Hospital Los Angeles, Los Angeles, California, USA.
⁷ Department of Radiology, Children's Hospital Los Angeles, Los Angeles, California, USA.
⁸ Department of Biomedical Engineering, University of Southern California, Los Angeles, California, USA.

Abstract

Purpose: To develop an MR multitasking-based dynamic imaging for cerebrovascular evaluation (MT-DICE) technique for simultaneous quantification of permeability and leakage-insensitive perfusion with a single-dose contrast injection.

Methods: MT-DICE builds on a saturation-recovery prepared multi-echo fast low-angle shot sequence. The k-space is randomly sampled for 7.6 min, with single-dose contrast agent injected 1.5 min into the scan. MR multitasking is used to model the data into six dimensions, including three spatial dimensions for whole-brain coverage, a saturation-recovery time dimension, and a TE dimension for dynamic $T_{1}$ and $T_{2}^{*}$ quantification, respectively, and a contrast dynamics dimension for capturing contrast kinetics. The derived pixel-wise $T_{1} / T_{2}^{*}$ time series are converted into contrast concentration-time curves for calculation of kinetic metrics. The technique was assessed for its agreement with reference methods in $T_{1}$ and $T_{2}^{*}$ measurements in eight healthy subjects and, in three of them, inter-session repeatability of permeability and leakage-insensitive perfusion parameters. Its feasibility was also demonstrated in four patients with brain tumors.

Results: MT-DICE $T_{1} / T_{2}^{*}$ values of normal gray matter and white matter were in excellent agreement with reference values (intraclass correlation coefficients = 0.860/0.962 for gray matter and 0.925/0.975 for white matter ). Both permeability and perfusion parameters demonstrated good to excellent intersession agreement with the lowest intraclass correlation coefficients at 0.694. Contrast kinetic parameters in all healthy subjects and patients were within the literature range.

Conclusion: Based on dynamic $T_{1} / T_{2}^{*}$ mapping, MT-DICE allows for simultaneous quantification of permeability and leakage-insensitive perfusion metrics with a single-dose contrast injection.

Keywords: DCE-MR; DSC-MR; MR multitasking; brain tumors; perfusion; permeability.

Publication types

Research Support, N.I.H., Extramural

MeSH terms

Brain / diagnostic imaging
Brain / pathology
Contrast Media*
Humans
Magnetic Resonance Imaging* / methods
Perfusion
Permeability

Substances

Contrast Media

Abstract

Publication types

MeSH terms

Substances

Grants and funding