In this review, we address the issue of fairness in the clinical integration of artificial intelligence
(AI) in the medical field. As the clinical adoption of deep learning algorithms, a subfield of …

… (K¿), and radial kurtosis (K⊥) are determined as follows. MK is deˆned as the average of the
kurtosis over all possible diŠusion directions; K… diŠusion eigenvalue; and K⊥ is deˆned as …

In addition, we introduce two other recent methods as future directions for estimating cortical
morphological changes: a multi-modal parcellation method using structural and functional …

White matter bundle segmentation using diffusion MRI fiber tractography has become the
method of choice to identify white matter fiber pathways in vivo in human brains. However, like …

Purpose The diffusion tensor image analysis along the perivascular space (DTI-ALPS) method
was developed to evaluate the brain’s glymphatic function or interstitial fluid dynamics. …

Objectives We used neurite orientation dispersion and density imaging (NODDI) to quantify
changes in the substantia nigra pars compacta (SNpc) and striatum in Parkinson disease (PD…

Introduction Diffusional kurtosis imaging (DKI) is a more sensitive technique than
conventional diffusion tensor imaging (DTI) for assessing tissue microstructure. In particular, it …

BACKGROUND AND PURPOSE: Synthetic MR imaging enables the creation of various
contrast-weighted images including double inversion recovery and phase-sensitive inversion …

Magnetization transfer (MT) imaging has been widely used for estimating myelin content in
the brain. Recently, two other approaches, namely simultaneous tissue relaxometry of R 1 …

Objectives We investigated the relationship between white-matter alteration and cognitive
status in Parkinson’s disease (PD) with and without dementia by using diffusion tensor imaging…