Publications by authors named "Natsuki Ikemitsu"
Article Synopsis
- A clinical study focused on evaluating diffusion kurtosis imaging (DKI) compared to diffusion tensor imaging (DTI) to observe differences in white matter (WM) structures in healthy subjects.
- Thirteen healthy volunteers were scanned using a 3-T MRI, and their WM parameters were analyzed with statistical tools, revealing significant correlations between DTI and DKI metrics.
- Results indicated that DKI provides more detailed insights into WM connectivity than DTI, which could aid in better understanding neurological diseases.
Article Synopsis
- Researchers used machine learning and MRI data to assess brain atrophy related to early-stage Alzheimer's disease (AD).
- They developed a system that employs deep learning and support vector machine techniques to analyze segmented brain images from 200 healthy individuals and 200 early-stage AD patients.
- The findings suggest that features related to atrophy are more significant than general morphological characteristics for early detection of AD, with certain machine learning methods achieving up to 82% accuracy.
Objective: This study aims to improve the signal-to-noise ratio (SNR) of the phase image focusing T2 and to develop an improved phase (iPhase) image acquired high SNR.
Methods: The iPhase images of phantom and brain were acquired with multi-echo spoiled gradient-echo. The phantom component was a gadopentetate dimeglumine (Gd-DTPA) solution made of different concentrations (0.