Abstract #1813

Evaluation of Ultrafast Wave-CAIPI 3D FLAIR Versus Standard 3D FLAIR for Quantitative Analysis of White Matter Lesions

Chanon Ngamsombat^1,2, Maria Gabriela Figueiro Longo^1,3, Augusto Lio M. Gonçalves Filho^1,3, Stephen F. Cauley^1,4, Kawin Setsompop^1,4,5, Qiyuan Tian¹, Qiuyun Fan¹, Daniel Polak^6,7, Wei Liu⁸, Wei-Ching Lo⁷, Ramon Gilberto González^3,4, Pamela W. Schaefer^3,4, John E. Kirsch^1,3, Otto Rapalino^3,4, John Conklin^1,3, and Susie Y. Huang^1,3,5

¹Athinoula A. Martinos Center for Biomedical Imaging, Department of Radiology, Massachusetts General Hospital, Boston, MA, United States, ²Faculty of Medicine, Siriraj Hospital Mahidol Univerity, Bangkok, Thailand, ³Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts, Boston, MA, United States, ⁴Harvard Medical School, Boston, MA, United States, ⁵Harvard-MIT Division of Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA, United States, ⁶Department of Physics and Astronomy, Heidelberg University, Heidelberg, Heidelberg, Germany, ⁷Siemens Healthineers AG, Erlangen, Erlangen, Germany, ⁸Siemens Shenzhen Magnetic Resonance Ltd., Shenzhen, Shenzhen, China

Quantification of cerebral white matter lesion volume has become increasingly feasible for routine clinical evaluation and research due to the availability of automated segmentation tools and 3D FLAIR sequences. However, these sequences suffer from long acquisition times, limiting their widespread use. We demonstrate that quantitative white matter lesion volumes estimated using ultrafast Wave-CAIPI SPACE-FLAIR obtained in <3 minutes show excellent agreement with standard SPACE-FLAIR requiring >7 minutes of scanning in patients undergoing clinical evaluation for suspected MS and epilepsy. Wave-CAIPI SPACE-FLAIR may facilitate the adoption of 3D FLAIR sequences for lesion evaluation in patients with MS and other white matter diseases.

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