Magnetic Resonance Fingerprinting: Mitigating the Bias in the Quantification of T1 and T2 Caused by Macromolecules

Sunday, Nov. 27 10:55AM - 11:05AM Room: S405AB

FDA Discussions may include off-label uses.

Tom Hilbert, Lausanne, Switzerland (Abstract Co-Author) Employee, Siemens AG
Florian Knoll, New York, NY (Abstract Co-Author) Nothing to Disclose
Tiejun Zhao, PhD, Pittsburgh, PA (Abstract Co-Author) Employee, Siemens AG
Kai Tobias Block, PhD, New York, NY (Abstract Co-Author) Royalties, Siemens AG
Jean-Philippe Thiran, PhD, Lausanne, Switzerland (Abstract Co-Author) Nothing to Disclose
Gunnar Krueger, DPHIL, Lausanne, Switzerland (Abstract Co-Author) Employee, Siemens AG
Tobias Kober, Lausanne, Switzerland (Abstract Co-Author) Employee, Siemens AG
Daniel Sodickson, MD, PhD, New York, NY (Abstract Co-Author) Royalties, General Electric Company License agreement, General Electric Company Royalties, Bruker Corporation License agreement, Bruker Corporation Research collaboration, Siemens AG
Martijn A. Cloos, PhD, New York, NY (Presenter) Nothing to Disclose

In this work we aim to mitigate the bias in the quantification of T1 and T2 caused by macromolecules when using magnetic resonance fingerprinting (MRF).


Magnetization transfer (MT) effects can bias the estimation of T1 and T2 in MR and are caused by dipolar effects and chemical exchange between free water and macromolecules. We used a radial MRF sequence to measure the T1 and T2 in the brain of a healthy volunteer at 3T. The same measurement was performed with three different RF pulse durations (5 ms, 2 ms, and an interleaved mix of both). The first two measurements were reconstructed using the traditional method, whereas the last scan was reconstructed using a new prototype algorithm which includes a specialized MT model.


In the conventional fingerprinting sequence, the white-matter T2 values show a dependence on the RF pulse duration (48 ms for the long and 35 ms the short pulses). Moreover, compared to the values reported in the literature (~60 ms), both configurations significantly underestimate the true T2. Using a mix of different RF pulse durations in combination with the proposed algorithm, an MT bias map can be extracted which enables a more accurate measurement of T2 (~60ms).


Here we demonstrate that the quantification of relaxation parameters using fingerprinting is sensitive to MT effects and show that this bias can be mitigated by varying the RF pulse duration in the sequence and incorporating a MT model into the reconstruction process.


Unlike weighted images, quantitative imaging enables intra- and inter-subject comparison. Unbiased quantitative measures promise benefits to diagnosis, staging and monitoring of pathology and therapy.