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. Author manuscript; available in PMC: 2020 Dec 14.
Published in final edited form as: Neuroimage. 2020 Aug 24;223:117280. doi: 10.1016/j.neuroimage.2020.117280

Table 7.

Analysis results of the two motion monitoring methods on the patient data set with the motion threshold of half of the slice thickness on SD (for SLIMM) and FD (for VVR-LM). Compared to no motion monitoring and VVR-LM, SLIMM collected the minimum necessary amount of data (based on the predefined criteria), leading to improved data quality (in terms of tSNR) and reduced scanning time (in terms of number of actually acquired volumes).

# of volumes actually acquired tSNR score
Expectec No Monitoring VVR-LM SLIMM No Monitoring VVR-LM SLIMM
Patient #1 (resting state) 128 160 133 135 35.89 43.96 47.11
Patient #2 (resting state) 128 160 128 128 52.23 61.09 70.01
Patient #3 (finger tapping) 76 96 79 80 28.21 31.65 35.67