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Multi-pathway Multi-echo Acquisition and Neural Contrast Translation to Generate a Variety of Quantitative and Qualitative Image Contrasts

Institution:
Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Publisher:
Wiley
Publication Date:
Nov-2019
Journal:
Magn Reson Med
Citation:
Magn Reson Med. 2019 Nov 22.
PubMed ID:
31755588
Keywords:
contrast translation, machine learning, multi-pathway multi-echo acquisition, quantitative imaging, synthetic imaging
Appears in Collections:
NCIGT, SPL
Sponsors:
P41EB015898/NH/NIH HHS/United States
R03EB025546/NH/NIH HHS/United States
R21EB019500/NH/NIH HHS/United States
Generated Citation:
Cheng C-C., Preiswerk F., Madore B. Multi-pathway Multi-echo Acquisition and Neural Contrast Translation to Generate a Variety of Quantitative and Qualitative Image Contrasts. Magn Reson Med. 2019 Nov 22. PMID: 31755588.
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PURPOSE: Clinical exams typically involve acquiring many different image contrasts to help discriminate healthy from diseased states. Ideally, 3D quantitative maps of all of the main MR parameters would be obtained for improved tissue characterization. Using data from a 7-min whole-brain multi-pathway multi-echo (MPME) scan, we aimed to synthesize several 3D quantitative maps (T1 and T2 ) and qualitative contrasts (MPRAGE, FLAIR, T1 -weighted, T2 -weighted, and proton density [PD]-weighted). The ability of MPME acquisitions to capture large amounts of information in a relatively short amount of time suggests it may help reduce the duration of neuro MR exams. METHODS: Eight healthy volunteers were imaged at 3.0T using a 3D isotropic (1.2 mm) MPME sequence. Spin-echo, MPRAGE, and FLAIR scans were performed for training and validation. MPME signals were interpreted through neural networks for predictions of different quantitative and qualitative contrasts. Predictions were compared to reference values at voxel and region-of-interest levels. RESULTS: Mean absolute errors (MAEs) for T1 and T2 maps were 216 ms and 11 ms, respectively. In ROIs containing white matter (WM) and thalamus tissues, the mean T1 /T2 predicted values were 899/62 ms and 1139/58 ms, consistent with reference values of 850/66 ms and 1126/58 ms, respectively. For qualitative contrasts, signals were normalized to those of WM, and MAEs for MPRAGE, FLAIR, T1 -weighted, T2 -weighted, and PD-weighted contrasts were 0.14, 0.15, 0.13, 0.16, and 0.05, respectively. CONCLUSIONS: Using an MPME sequence and neural-network contrast translation, whole-brain results were obtained with a variety of quantitative and qualitative contrast in ~6.8 min.