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Abstract #0079

Measuring brain maturation with quantitative MRI

Gian Franco Piredda1,2,3, Tom Hilbert1,2,3, Baptiste Morel4,5, Clovis Tauber4, Jean Philippe Cottier4, Lars Lauer6, Jean-Philippe Thiran2,3, Bénédicte Maréchal1,2,3, and Tobias Kober1,2,3
1Advanced Clinical Imaging Technology, Siemens Healthcare AG, Lausanne, Switzerland, 2Department of Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland, 3LTS5, École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland, 4UMR 1253, iBrain, Université de Tours, Inserm, Tours, France, 5Pediatric Radiology Department, Clocheville Hospital, CHRU of Tours, Tours, France, 6SHS DI MR SIP, Siemens Healthcare GmbH, Erlangen, Germany

The sensitivity of T1 mapping towards brain maturation during the first years of life was shown in previous studies. This work investigates whether this sensitivity is high enough that age of young subjects can be directly estimate from T1 relaxometry, which in turn enables to determine the developmental stage of the subject’s brain. A random forest regression was employed to estimate subjects’ age based on median T1 values of different brain regions. Good correlation (r=0.95) was found between actual and predicted ages, and proof-of-concept results in a patient showed the potential of the proposed framework to detect developmental delays.

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