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Abstract #1288

A shortened MOLLI for renal T1 mapping

Joao Periquito1, Kanishka Sharma1, Kywe Soe1, Bashair Alhummiany2, Jonathan Fulford3, David Shelley4, Kim Gooding3, Angela Shore3, Michael Mansfield4, and Steven Sourbron1
1The University of Sheffield, Sheffield, United Kingdom, 2Department of Biomedical Imaging Sciences, University of Leeds, Leeds, United Kingdom, 3University of Exeter Medical School, Exeter, United Kingdom, 4Leeds Teaching Hospitals NHS Trust, Leeds, United Kingdom

Synopsis

Keywords: Kidney, Kidney, MOLLI, T1 MAPPINGA recent consensus recommends MOLLI-type methods for T1-mapping in the kidney, but these are slow due to the need for full relaxation between inversions. Acceleration can be easily achieved on routine MOLLI-sequences by repeating preparation pulses before complete relaxation, but this requires more accurate signal modelling. Here we propose a broadly applicable model-based approach which inverts a signal model built on Bloch simulations of magnetisation propagation. The method is validated on phantom data and a two-centre cohort of 50 patients with diabetic kidney disease.

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Keywords