title: Quantitative body DW-MRI biomarkers uncertainty estimation using unscented wild-bootstrap.
abstract: We present a new method for the uncertainty estimation of diffusion parameters for quantitative body DW-MRI assessment. Diffusion parameters uncertainty estimation from DW-MRI is necessary for clinical applications that use these parameters to assess pathology. However, uncertainty estimation using traditional techniques requires repeated acquisitions, which is undesirable in routine clinical use. Model-based bootstrap techniques, for example, assume an underlying linear model for residuals rescaling and cannot be utilized directly for body diffusion parameters uncertainty estimation due to the non-linearity of the body diffusion model. To offset this limitation, our method uses the Unscented transform to compute the residuals rescaling parameters from the non-linear body diffusion model, and then applies the wild-bootstrap method to infer the body diffusion parameters uncertainty. Validation through phantom and human subject experiments shows that our method identify the regions with higher uncertainty in body DWI-MRI model parameters correctly with realtive error of -36% in the uncertainty values.
authors: Computational Radiology Laboratory, Childrens Hospital, Harvard Medical School, Boston, USA.
authors: M
authors: M
authors: Freiman
authors: S D
authors: SD
authors: Voss
authors: R V
authors: RV
authors: Mulkern
authors: J M
authors: JM
authors: Perez-Rossello
authors: S K
authors: SK
authors: Warfield
mesh_terms: D000465:Algorithms; D016477:Artifacts; D015415:Biomarkers / Q000378:metabolism*; D004058:Diffusion; D038524:Diffusion Magnetic Resonance Imaging / Q000379:methods*; D018594:Human Body; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D008279:Magnetic Resonance Imaging / Q000379:methods; D015233:Models, Statistical; D019047:Phantoms, Imaging; D015203:Reproducibility of Results; D035501:Uncertainty
chemical_list: D015415:Biomarkers