CSF quantification study is typically useful in pediatric and elderly population for normal pressure hydrocephalus (NPH). In these population, scan time reduction is particularly useful for patient cooperation and comfort. The potential for CS to accelerate MRI acquisition without hampering image quality will increase patient comfort and compliance in CSF quantification. The purpose of this study is to quantitatively evaluate the impact of Compressed-SENSE (CS), the latest image acceleration technique that combines compressed sensing with parallel imaging (or SENSE), on acquisition time and image quality...

Standard in-practice CSF quantification study includes a 2D-gradient echo sequence for flow visualization and 2D-gradient echo T1 weighted phase-contrast sequence for flow quantification. Both these sequences were pulse gated using PPU triggering, planned perpendicular to the mid-aqueduct. Both these sequences were modified to obtain higher acceleration with CS (Table 1). Ten volunteers were scanned both, with and without CS, on a 3.0 T wide-bore MRI (Ingenia, Philips Health Systems). The study was approved by the IRB. The flow quantification was done using IntelliSpace Portal, version...

There was no statistically significant difference between Normal and CS scans in the ten volunteers quantified by Spearman’s rank correlation for absolute stroke volume (rho = 0.837), mean velocity (rho = 0.918), and regurgitant fraction (rho = 0.76). The scan protocol using CS on CSF quantification study resulted in 2 min 19 seconds of average time saved and average time acceleration achieved was 44% respectively

There is no significant difference in image quality between the current standard of care and CS-based accelerated CSF quantification MRI scans. Compressed-SENSE in this segment can reliably replace the existing scan protocol of higher acquisition time without loss in image quality, quantifications and at the same time with a significant reduction in scan time. The compressed-SENSE technique was originally designed for scan time acceleration of qualitative MRI . In this work, CS proves to have the potential of being extended to quantitative MRI without any...

V. K. Venugopal; New Delhi/IN - Other at Research collaboration, General Electric Company Research collaboration, Koninklijke Philips NV Research collaboration, Qure.ai Research collaboration, Predible Health R. Bhattacharjee; New Delhi/IN - Employee at Philips NV S. Panwar; New Delhi/IN - nothing to disclose V. Mahajan; New Delhi/IN - nothing to disclose H. Mahajan; New Delhi/IN - Other at Director, Mahajan Imaging Pvt Ltd Research collaboration, General Electric Company Research collaboration, Koninklijke Philips NV Research collaboration, Qure.ai Research collaboration, Predible Health I. Saha; New Delhi/IN - Employee...

1.Otazo, R., Kim, D., Axel, L. & Sodickson, D. K. Combination of compressed sensing and parallel imaging for highly accelerated first-pass cardiac perfusion MRI. Magn Reson Med 64, 767–776 (2010). 2.Dyvorne, H. A. et al. Quantification of hepatic blood flow using a high-resolution phase-contrast MRI sequence with compressed sensing acceleration. AJR Am J Roentgenol 204, 510–518 (2015). 3.Lee, J. H. et al. CSF flow quantification of the cerebral aqueduct in normal volunteers using phase contrast cine MR imaging. Korean J Radiol 5, 81–86 (2004). 4.Bateman,...