Ten Years of BrainAGE as a Neuroimaging Biomarker of Brain Aging: What Insights Have We Gained?

K Franke, C Gaser - Frontiers in neurology, 2019 - frontiersin.org
With the aging population, prevalence of neurodegenerative diseases is increasing, thus
placing a growing burden on individuals and the whole society. However, individual rates of …

MRI segmentation of the human brain: challenges, methods, and applications

I Despotović, B Goossens… - … mathematical methods in …, 2015 - Wiley Online Library
Image segmentation is one of the most important tasks in medical image analysis and is
often the first and the most critical step in many clinical applications. In brain MRI analysis …

MP2RAGE, a self bias-field corrected sequence for improved segmentation and T1-mapping at high field

JP Marques, T Kober, G Krueger, W van der Zwaag… - Neuroimage, 2010 - Elsevier
The large spatial inhomogeneity in transmit B1 field (B1+) observable in human MR images
at high static magnetic fields (B0) severely impairs image quality. To overcome this effect in …

A review of methods for correction of intensity inhomogeneity in MRI

U Vovk, F Pernus, B Likar - IEEE transactions on medical …, 2007 - ieeexplore.ieee.org
Medical image acquisition devices provide a vast amount of anatomical and functional
information, which facilitate and improve diagnosis and patient treatment, especially when …

Rapid B1+ mapping using a preconditioning RF pulse with TurboFLASH readout

S Chung, D Kim, E Breton, L Axel - Magnetic resonance in …, 2010 - Wiley Online Library
In MRI, the transmit radiofrequency field (B) inhomogeneity can lead to signal intensity
variations and quantitative measurement errors. By independently mapping the local B …

Skeletal muscle atrophy and increased intramuscular fat after incomplete spinal cord injury

AS Gorgey, GA Dudley - Spinal cord, 2007 - nature.com
Study design: Cross-sectional and longitudinal design. Objectives:(1) To quantify skeletal
muscle cross-sectional area (CSA) after correcting for intramuscular fat (IMF) in thigh muscle …

Canonical correlation analysis for data fusion and group inferences

NM Correa, T Adali, YO Li… - IEEE signal processing …, 2010 - ieeexplore.ieee.org
We have presented two CCA-based approaches for data fusion and group analysis of
biomedical imaging data and demonstrated their utility on fMRI, sMRI, and EEG data. The …

A survey of prostate segmentation methodologies in ultrasound, magnetic resonance and computed tomography images

S Ghose, A Oliver, R Martí, X Lladó, JC Vilanova… - Computer methods and …, 2012 - Elsevier
Prostate segmentation is a challenging task, and the challenges significantly differ from one
imaging modality to another. Low contrast, speckle, micro-calcifications and imaging artifacts …

Intensity non-uniformity correction in MRI: existing methods and their validation

B Belaroussi, J Milles, S Carme, YM Zhu… - Medical image …, 2006 - Elsevier
Magnetic resonance imaging is a popular and powerful non-invasive imaging technique.
Automated analysis has become mandatory to efficiently cope with the large amount of data …

T2-weighted MRI-derived textural features reflect prostate cancer aggressiveness: preliminary results

G Nketiah, M Elschot, E Kim, JR Teruel… - European …, 2017 - Springer
Purpose To evaluate the diagnostic relevance of T2-weighted (T2W) MRI-derived textural
features relative to quantitative physiological parameters derived from diffusion-weighted …