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Abstract #1383

Mapping of T2 and ADC in Articular Cartilage with B1 Corrected DESS

Bragi Sveinsson1, 2, Ernesto Staroswiecki1, 2, Kristin Granlund1, 2, Garry E. Gold1, Brian A. Hargreaves1

1Radiology, Stanford University, Stanford, CA, United States; 2Electrical Engineering, Stanford University, Stanford, CA, United States

Double Echo in Steady State is a 3D steady state method that has been demonstrated to provide accurate measurements of ADC in articular cartilage in short scan times with high SNR and low distortion. One approach estimates T1 and T2 as well as the ADC. Another approach eliminates dependency on T1 and T2 to estimate ADC more quickly. Both approaches suffer from sensitivity to B1 deviations when estimating ADC. We demonstrate a method to reduce errors caused B1 deviations. The method is tested in phantoms and in vivo with positive results.

Keywords

abnormally accessible accuracy acquiring acquisition acquisitions actual affected agar agrees apparent articular available axial axis bandwidth basis benefit better body calculating cartilage clinical coefficient computed considerably correct corrected correcting correction covering damage decay decrease decreases dependency depends desired detecting determine determined developed deviation deviations diffusion digit discovery disease done double duration easy echoes effectively either electrical eliminates engineering errors established estimation experiences filtered fits fitting freely funded generated gold good gradient greater healthy histograms implemented improves in vivo indicating knee largely latter little making mapping maps measured miller minutes models noise pass phantom pixel post precision precomputed press previously primarily processing proposed proven publicly quantify quickly radiology readout recently reduce relating relatively resolution scanner sensitive sensitivity separated settings short significantly slice slices slightly solution solutions spatial spin spoiler steady studies suited table theoretical timing unaffected uncorrected uniform useful variance variation variations viewer volunteer whole year