An automated tool for cortical feature analysis: Application to differences on 7 Tesla T₂^*‐weighted images between young and older healthy subjects

Abstract

The proposed method can be a useful tool for studying cortical changes in normal aging and potentially in neurodegenerative diseases. Magn Reson Med 74:240-248, 2015. © 2014 Wiley Periodicals, Inc.

Utility of real-time field control in T2 *-Weighted head MRI at 7T

“…Since pathological signal changes can be subtle, respiration artifacts might impede diagnoses by obscuring or mimicking pathology. A further promising area of application for field control is research into brain structure (11,30,31) and iron content (32,33), as well as changes thereof with ageing (34,35). Such studies frequently rely on phase contrast in long-TE gradient echo data very similar to that obtained in this work.…”

“…A further promising area of application for field control is research into brain structure and iron content , as well as changes thereof with ageing . Such studies frequently rely on phase contrast in long‐TE gradient echo data very similar to that obtained in this work.…”

Differential Aging Signals in Abdominal CT Scans

“…Indeed, no previous studies have used body images to identify characteristics from multiple tissues that in aggregate correlate with chronological age, nor has this approach been validated in independent samples or in subsamples randomly selected from the original study population. Several previous studies used CT and MRI to find age-related differences in brain (3), bone (4), kidney (5) and fat distribution in skeletal muscle (6). All these studies were able to find statistically significant differences in morphology correlated with age, but they involved relatively a small number of participants, and used manual steps or semimanual classification in the analysis pipeline.…”

Fractal frontiers in cardiovascular magnetic resonance: towards clinical implementation

“…Fractal geometry has already found effective research application in the medical imaging field across several modalities (such as plain radiography, retinal photography, ultrasonography [ 21 ], computed tomography, MR and nuclear MR [ 22 ]). It has been used to study a wide variety of processes: the complex geometries of biological cell types [ 23 ]; tumor growth patterns [ 24 ]; gene expression [ 25 ]; retinopathy [ 26 ]; cellular differentiation in space and time [ 27 ]; bone and dental matrix composition [ 24 , 28 ]; brain matter changes [ 29 ] etc. Fractal methods are popular and convenient because they lend themselves to automated computer-assisted image processing providing a precise and quantitative metric.…”