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  Evaluating T2* bias impact and correction strategies in quantitative proton density mapping

Balteau, E., Leutritz, T., Weiskopf, N., Reimer, E., Lutti, A., Callaghan, M. F., et al. (2018). Evaluating T2* bias impact and correction strategies in quantitative proton density mapping. Poster presented at Joint Annual Meeting ISMRM-ESMRMB, Paris, France.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0002-1303-5 Version Permalink: http://hdl.handle.net/21.11116/0000-0003-ABA6-1
Genre: Poster

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poster_2694_T2s_bias_on_PD_maps_91x91.pdf (Supplementary material), 1015KB
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poster_2694_T2s_bias_on_PD_maps_91x91.pdf
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http://hdl.handle.net/2268/225763 (Publisher version)
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 Creators:
Balteau, Evelyne1, Author
Leutritz, Tobias2, Author              
Weiskopf, Nikolaus2, Author              
Reimer, Enrico2, Author              
Lutti, Antoine1, Author
Callaghan, Martina F.1, Author
Mohammadi, Siawoosh1, Author
Tabelow, Karsten1, Author
Affiliations:
1External Organizations, ou_persistent22              
2Department Neurophysics (Weiskopf), MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_2205649              

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 Abstract: PURPOSE: Quantitative magnetic resonance imaging (qMRI) helps reveal the biophysical properties governing MRI contrast. By eliminating instrumental biases and other contrast mechanisms influencing the signal amplitude, quantitative parameter maps can be derived and ultimately serve as in vivo biomarkers 1 . Biases in proton density (PD) map estimation include radio-frequency transmit (B 1 + ) and receive (B 1 - ) fields and T 2 * weighting 2-5 . We focus on the T 2 * bias in multi-echo fast low angle shot (FLASH) protocols, where the T 2 * signal dependence is often neglected 5,6 . Although often pointed out as a potential limitation especially in high iron content areas 5,7,8 , the extent and severity of this bias and the evaluation of correction strategies have not yet been fully reported. RESULTS: Simulated FLASH multiparameter mapping datasets with increasing noise levels were analysed with the hMRI toolbox and various processing strategies for PD estimation. Without T 2 * bias correction and with calibration to PD=69% in the WM, PD values were overestimated in the cortex (since T 2 * GM >T 2 * WM ) and strongly underestimated in high iron content areas (globus pallidus, red nuclei, substantia nigra). CONCLUSIONS: T 2 * bias correction is necessary to increase the sensitivity and specificity of qMRI in these areas. All methods taking T 2 * weighting bias into account are effective. However, method (2) shows lower SNR (relies on a single echo), while methods (1) (with T 2 * correction) and (3) perform similarly.

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 Dates: 2018-06-21
 Publication Status: Not specified
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Title: Joint Annual Meeting ISMRM-ESMRMB
Place of Event: Paris, France
Start-/End Date: 2018-06-16 - 2018-06-21

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Project name : Antibodies against Nogo-A to enhance plasticity, regeneration and functional recovery after acute spinal cord injury, a multicenter European clinical proof of concept trial / NISCI
Grant ID : 681094
Funding program : Horizon 2020 (H2020)
Funding organization : European Commission (EC)
Project name : -
Grant ID : 15.0137
Funding program : -
Funding organization : Swiss State Secretariat for Education, Research and Innovation (SERI)

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