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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.

Keller J, Rulseh AM, Komárek A, Latnerová I, Rusina R, Brožová H, Vymazal J - PLoS ONE (2013)

Bottom Line: 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.The LUTs generated from 12 and 30 MPG were comparable and accentuate FA abnormalities.

View Article: PubMed Central - PubMed

Affiliation: Department of Neurology, Third Faculty of Medicine, Charles University in Prague, Prague, Czech Republic ; Department of Radiology, Na Homolce Hospital, Prague, Czech Republic.

ABSTRACT
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.

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Related in: MedlinePlus

Inflection points for the Look-Up Table.FA, fractional anisotropy; RGB, red-green-blue components of color (note: this image is in CMYK colorspace, therefore colors do not exactly match RGB colorspace); BG, lower border of prediction interval for basal ganglia (BG) divided by two; BG, lower border of prediction interval for BG; BG, mean value for BG; GM, mean value for gray matter (GM); GM, upper border of prediction interval for GM; CCfreehand, lower border of prediction interval for freehand selection of corpus callosum (CC); CCfreehand, upper border of prediction interval for freehand selection of CC; CCroi, mean value for circular selection of CC.
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pone-0071431-g005: Inflection points for the Look-Up Table.FA, fractional anisotropy; RGB, red-green-blue components of color (note: this image is in CMYK colorspace, therefore colors do not exactly match RGB colorspace); BG, lower border of prediction interval for basal ganglia (BG) divided by two; BG, lower border of prediction interval for BG; BG, mean value for BG; GM, mean value for gray matter (GM); GM, upper border of prediction interval for GM; CCfreehand, lower border of prediction interval for freehand selection of corpus callosum (CC); CCfreehand, upper border of prediction interval for freehand selection of CC; CCroi, mean value for circular selection of CC.

Mentions: A nonlinear LUT was created using inflection points based on FA values in the BG, GM and CC. The results of descriptive statistics for these regions, including both 12 and 30 MPG, are shown in Table 1. The mean FA of white matter ROIs was equal in both sequences, while FA values in the BG and GM differed. A group histogram of FA in the regions used in generating the scale (Figure 4) shows normality. Inflection points are presented at the top of the histogram and their FA values are listed in Figure 5. Color ramps (see Figure 2) were used to define the LUT (see Figure 3).


New non-linear color look-up table for visualization of brain fractional anisotropy based on normative measurements - principals and first clinical use.

Keller J, Rulseh AM, Komárek A, Latnerová I, Rusina R, Brožová H, Vymazal J - PLoS ONE (2013)

Inflection points for the Look-Up Table.FA, fractional anisotropy; RGB, red-green-blue components of color (note: this image is in CMYK colorspace, therefore colors do not exactly match RGB colorspace); BG, lower border of prediction interval for basal ganglia (BG) divided by two; BG, lower border of prediction interval for BG; BG, mean value for BG; GM, mean value for gray matter (GM); GM, upper border of prediction interval for GM; CCfreehand, lower border of prediction interval for freehand selection of corpus callosum (CC); CCfreehand, upper border of prediction interval for freehand selection of CC; CCroi, mean value for circular selection of CC.
© Copyright Policy
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC3750032&req=5

pone-0071431-g005: Inflection points for the Look-Up Table.FA, fractional anisotropy; RGB, red-green-blue components of color (note: this image is in CMYK colorspace, therefore colors do not exactly match RGB colorspace); BG, lower border of prediction interval for basal ganglia (BG) divided by two; BG, lower border of prediction interval for BG; BG, mean value for BG; GM, mean value for gray matter (GM); GM, upper border of prediction interval for GM; CCfreehand, lower border of prediction interval for freehand selection of corpus callosum (CC); CCfreehand, upper border of prediction interval for freehand selection of CC; CCroi, mean value for circular selection of CC.
Mentions: A nonlinear LUT was created using inflection points based on FA values in the BG, GM and CC. The results of descriptive statistics for these regions, including both 12 and 30 MPG, are shown in Table 1. The mean FA of white matter ROIs was equal in both sequences, while FA values in the BG and GM differed. A group histogram of FA in the regions used in generating the scale (Figure 4) shows normality. Inflection points are presented at the top of the histogram and their FA values are listed in Figure 5. Color ramps (see Figure 2) were used to define the LUT (see Figure 3).

Bottom Line: 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.The LUTs generated from 12 and 30 MPG were comparable and accentuate FA abnormalities.

View Article: PubMed Central - PubMed

Affiliation: Department of Neurology, Third Faculty of Medicine, Charles University in Prague, Prague, Czech Republic ; Department of Radiology, Na Homolce Hospital, Prague, Czech Republic.

ABSTRACT
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.

Show MeSH
Related in: MedlinePlus