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New non-linear color look-up table for visualization of brain fractional anisotropy based on normative measurements - principals and first clinical use
Jiří Keller, Aaron M. Rulseh, Arnošt Komárek, Iva Latnerová, Robert Rusina, Hana Brožová, Josef Vymazal
Language English Country United States
Document type Journal Article, Research Support, Non-U.S. Gov't
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- MeSH
- Algorithms MeSH
- Anisotropy * MeSH
- Color * MeSH
- Basal Ganglia physiology MeSH
- Frontal Lobe physiology MeSH
- Corpus Callosum physiology MeSH
- Adult MeSH
- Middle Aged MeSH
- Humans MeSH
- Brain Mapping methods MeSH
- Adolescent MeSH
- Young Adult MeSH
- Brain physiology MeSH
- Multiple System Atrophy diagnosis pathology MeSH
- Parkinson Disease diagnosis pathology MeSH
- Signal-To-Noise Ratio MeSH
- Reference Values MeSH
- Aged, 80 and over MeSH
- Aged MeSH
- Sensitivity and Specificity MeSH
- Software MeSH
- Thalamus physiology MeSH
- Healthy Volunteers MeSH
- Diffusion Tensor Imaging methods MeSH
- Check Tag
- Adult MeSH
- Middle Aged MeSH
- Humans MeSH
- Adolescent MeSH
- Young Adult MeSH
- Male MeSH
- Aged, 80 and over MeSH
- Aged MeSH
- Female MeSH
- Publication type
- Journal Article MeSH
- Research Support, Non-U.S. Gov't MeSH
Fractional anisotropy (FA) is the most commonly used quantitative measure of diffusion in the brain. Changes in FA have been reported in many neurological disorders, but the implementation of diffusion tensor imaging (DTI) in daily clinical practice remains challenging. We propose a novel color look-up table (LUT) based on normative data as a tool for screening FA changes. FA was calculated for 76 healthy volunteers using 12 motion-probing gradient directions (MPG), a subset of 59 subjects was additionally scanned using 30 MPG. Population means and 95% prediction intervals for FA in the corpus callosum, frontal gray matter, thalamus and basal ganglia were used to create the LUT. Unique colors were assigned to inflection points with continuous ramps between them. Clinical use was demonstrated on 17 multiple system atrophy (MSA) patients compared to 13 patients with Parkinson disease (PD) and 17 healthy subjects. Four blinded radiologists classified subjects as MSA/non-MSA. Using only the LUT, high sensitivity (80%) and specificity (84%) were achieved in differentiating MSA subjects from PD subjects and controls. The LUTs generated from 12 and 30 MPG were comparable and accentuate FA abnormalities.
Department of Neurology 3rd Faculty of Medicine Charles University Prague Prague Czech Republic
Department of Neurology Thomayer Hospital Prague Czech Republic
Department of Radiology Na Homolce Hospital Prague Czech Republic
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