Abstract #0079

Measuring brain maturation with quantitative MRI

Gian Franco Piredda^1,2,3, Tom Hilbert^1,2,3, Baptiste Morel^4,5, Clovis Tauber⁴, Jean Philippe Cottier⁴, Lars Lauer⁶, Jean-Philippe Thiran^2,3, Bénédicte Maréchal^1,2,3, and Tobias Kober^1,2,3

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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