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Abstract #3459

Clinical Feasibility Study of Accelerated 2D Magnetic Resonance Spinal Imaging Using Compressed Sensing Algorithm

Jianxing Qiu1, Jing Liu1, Qingping Gu2, Peng Sun2, and Naishan Qin1
1Peking University First Hospital, Beijing, China, 2Philips Healthcare, Beijing, China, Beijing, China

Compressed sensing algorithm (CS-MRI) could accelerate 3D MRI scanning time. In this study, we investigate the feasibility of CS-MRI in 2D spinal MRI. Totally 78 consecutive patients (29, 11 and 38 patients were examined by cervical vertebral, thoracic vertebral, thoracic vertebral MRI protocol respectively) were enrolled for both conventional MRI and CS-MRI. Both qualitative and quantitative analyses were conducted to compare the image quality and lesion diagnosis on conventional MRI and CS-MRI. And our results revealed that CS-MRI was valuable for improving the overall workflow of spinal MRI with scanning time saved and image quality improved.

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