Abstract #3727

Exploring the Utility of Temporal Phase Correction in Multi-Echo T2 Relaxation at 3T

Emil Ljungberg¹, Alykhan Thobani¹, Thorarin A Bjarnason^2,3,4, Piotr Kozlowski², Alexander Rauscher⁵, Jing Zhang⁶, Anthony Traboulsee¹, Cornelia Laule^2,7,8, Alex MacKay^2,9, and Shannon Kolind^1,2

¹Medicine, University of British Columbia, Vancouver, BC, Canada, ²Radiology, University of British Columbia, Vancouver, BC, Canada, ³Diagnostic Imaging Services, Interior Health, Kelowna, BC, Canada, ⁴Computer Science, Mathematics, Physics & Statistics, University of British Columbia, Kelowna, BC, Canada, ⁵Pediatrics, University of British Columbia, Vancouver, BC, Canada, ⁶GE Healthcare, Vancouver, BC, Canada, ⁷Pathology & Laboratory Medicine, University of British Columbia, Vancouver, BC, Canada, ⁸International Collaboration on Repair Discoveries, University of British Columbia, Vancouver, BC, Canada, ⁹Physics and Astronomy, University of British Columbia, Vancouver, BC, Canada

T₂ relaxation using combined gradient and spin echo (GRASE) is a fast and robust approach for myelin water imaging in vivo. For long echo trains, when the noise floor is reached, the magnitude signal will converge towards a non-zero mean due to the Rician noise characteristics of the magnitude data. This can give rise to artificial long-T₂ components in analysis. In this study we employed temporal phase correction to multi-echo GRASE data and showed that for echo trains longer than 300ms, phase correction will effectively reduce artificial long-T₂ components, thus improving the ability to interpret the T₂ distribution.

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