Accuracy and reproducibility of brain and tissue volumes using a magnetic resonance segmentation method

Byrum, Christopher E.; MacFall, James R.; Charles, H. Cecil; Chitilla, Venkata R.; Boyko, Orest B.; Upchurch, Lucy; Smith, Jean S.; Rajagopalan, Pradeep; Passe, Theodore J.; Kim, Dennis; Xanthakos, Stavra A.; Ranga, K.; Krishnan, Ranga

doi:10.1016/0925-4927(96)02790-4

Cited by 55 publications

(19 citation statements)

References 30 publications

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“…The basic segmentation protocol is a supervised, semiautomated method that has been described previously (Byrum et al, 1996;Kikinis et al, 1992). Once the brain was segmented into tissue types and the nonbrain tissue stripped away through a masking procedure, the total hemispheric gray and white matter volumes were calculated.…”

Section: Mri Variablesmentioning

confidence: 99%

Left Orbital Frontal Cortex Volume and Performance on the Benton Visual Retention Test in Older Depressives and Controls

Steffens

McQuoid

Welsh‐Bohmer

et al. 2003

Neuropsychopharmacol

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Changes within the prefrontal cortex (PFC) have been associated with both mood disorders and with specific impairments in cognitive testing. The left PFC has been implicated in relational processing, that is, binding different pieces of information. We hypothesized that among older depressives and elderly controls, lower performance on one test of relational processing would be associated with smaller volume of the orbital frontal cortex (OFC). A total of 30 depressed and 40 control subjects were included in the study. All subjects were administered the Benton Visual Retention Test (BVRT). Subjects received a standardized magnetic resonance imaging, for which volumes of the OFC and total brain were calculated. We found that, controlling for age and education, total correct on BVRT was associated with left OFC volume normalized for total brain volume among the entire sample. For the depressed sample only, the number of perseverative errors was negatively associated with left OFC volume normalized for total brain volume after controlling for age and education. These results add to the literature linking mood and cognitive disturbances to the PFC. Future studies with a larger sample employing functional measures are warranted.

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Section: Mri Variablesmentioning

confidence: 99%

Left Orbital Frontal Cortex Volume and Performance on the Benton Visual Retention Test in Older Depressives and Controls

Steffens

McQuoid

Welsh‐Bohmer

et al. 2003

Neuropsychopharmacol

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“…Several studies have been conducted where different skull-stripping and brain segmentation algorithms are compared, both with each other, and with manual tracing, or realistic digital brain phantoms [Barra and Boire, 2001;Byrum et al, 1996;Cuadra et al, 2005;Fennema-Notestine et al, 2006;Good et al, 2002;Grabowski et al, 2000;Greenspan et al, 2006;Heckemann et al, 2006;John et al, 2003;Kovacevic et al, 2002;Lemieux et al, 2003;Moretti et al, 2000;Rehm et al, 2004;Toga and Thompson, 2003;Wang and Doddrell, 2002;Warfield et al, 2004;Zaidi et al, 2006;Bezdek et al, 1993]. Also, the impact of MR image acquisitions protocols on tissue segmentation results and brain volumes has been investigated [e.g., Lundervold et al, 2000;Clark et al, 2006], and one study specifically addressed reproducibility of volumetry results over time of Chard et al [2002].…”

Section: Introductionmentioning

confidence: 99%

Evaluation of automated brain MR image segmentation and volumetry methods

Klauschen¹,

Goldman²,

Barra³

et al. 2008

Human Brain Mapping

192

181

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We compare three widely used brain volumetry methods available in the software packages FSL, SPM5, and FreeSurfer and evaluate their performance using simulated and real MR brain data sets. We analyze the accuracy of gray and white matter volume measurements and their robustness against changes of image quality using the BrainWeb MRI database. These images are based on "gold-standard" reference brain templates. This allows us to assess between- (same data set, different method) and also within-segmenter (same method, variation of image quality) comparability, for both of which we find pronounced variations in segmentation results for gray and white matter volumes. The calculated volumes deviate up to >10% from the reference values for gray and white matter depending on method and image quality. Sensitivity is best for SPM5, volumetric accuracy for gray and white matter was similar in SPM5 and FSL and better than in FreeSurfer. FSL showed the highest stability for white (<5%), FreeSurfer (6.2%) for gray matter for constant image quality BrainWeb data. Between-segmenter comparisons show discrepancies of up to >20% for the simulated data and 24% on average for the real data sets, whereas within-method performance analysis uncovered volume differences of up to >15%. Since the discrepancies between results reach the same order of magnitude as volume changes observed in disease, these effects limit the usability of the segmentation methods for following volume changes in individual patients over time and should be taken into account during the planning and analysis of brain volume studies.

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“…MrX procedures (for whole brain, cerebral hemispheres, caudate, lateral ventricles, and gray and white matter lesions)-The segmentation protocol used was a modified version of that developed by Kikinis and colleagues [30] and Byrum and colleagues [6]. This was a supervised, semiautomated method that used the multiple MR contrasts available to identify different tissue classifications through a 'seeding' process wherein a trained analyst manually selected pixels in each tissue type that was to be identified (gray matter, white matter, CSF, lesions, background).…”

Section: 31mentioning

confidence: 99%

Aging, gender, and the elderly adult brain: An examination of analytical strategies

Greenberg¹,

Messer²,

Payne³

et al. 2008

Neurobiology of Aging

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We sought to examine the relations between age, gender and brain volumes in an elderly population; we also sought to examine ways of measuring these relations. Three sets of analyses were used: correlational analyses, in which correlations between independent variables and brain volumes were calculated without correction for intracranial volume (ICV); covariational analyses, in which ICV was used as a covariate in regression equations; and ratio analyses, in which the dependent variable was the ratio of brain volume to ICV. These analyses yielded similar results, except that (as expected) adjusting for ICV altered estimates of gender differences. Analyses of age showed decreases in left caudate, putamen, and right hippocampus and an increase in CSF, a result generally in accord with previous findings. However, we also found a significant decrease of white-matter volumes and no significant decrease in total gray-matter volumes. Correlational analyses showed that men did not always have larger volumes despite their larger head size; women generally had larger volumes after adjusting for ICV. We found no age-gender interactions.

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Accuracy and reproducibility of brain and tissue volumes using a magnetic resonance segmentation method

Cited by 55 publications

References 30 publications

Left Orbital Frontal Cortex Volume and Performance on the Benton Visual Retention Test in Older Depressives and Controls

Left Orbital Frontal Cortex Volume and Performance on the Benton Visual Retention Test in Older Depressives and Controls

Evaluation of automated brain MR image segmentation and volumetry methods

Aging, gender, and the elderly adult brain: An examination of analytical strategies

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