Dinil Sasi S^{1}, Anup Singh^{1,2}, Rupsa Bhattacharjee^{1,3}, Ayan Debnath^{1,4}, Snekha Sehrawat^{1}, Rakesh K Gupta^{5}, Indrajit Saha^{3}, and Marc Van Cauteren^{6}

Parallel-imaging and compressed-sensing based approaches are playing
crucial role in accelerating MRI data acquisition. Objective of the study was
to accelerate the data acquisition of T_{1}, T_{2} and PD-weighted
TSE images and to evaluate the accuracy of T_{1} and T_{2}
mapping in the human brain. Data was acquired using SENSE parallel-imaging and
Compressed-SENSE technique for different factors as well as without any
acceleration. T_{1} and T_{2} values obtained using data with SENSE
(upto factor of 3) and CSENSE (upto factor of 6) were comparable to those
acquired without any acceleration. Errors in T_{1} and T_{2} increased
with increase in acceleration factor.

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Figure-1: Scan time required in seconds for acquiring: (a)
T_{1} W (b) Dual PD-T_{2} W images using various acceleration factors for SENSE and CSENSE approaches.

Figure-2: T_{1} maps
corresponding to a single slice human brain obtained from data collected using non-accelerated,
SENSE and CSENSE approach. Maps are cropped and descalped.

Figure-3: T_{2} maps
corresponding to a single slice human brain obtained from data collected using non-accelerated,
SENSE and CSENSE approach. Maps are cropped and desculped.

Figure-4: Normalized mean
squared error (NMSE) with standard deviation for different SENSE and CSENSE combinations: (a)T_{1} map using
CSENSE (b)T_{1} map using SENSE (c)T_{2} map using CSENSE (b)T_{2}
map using SENSE