Quantitative measurement of MR cortical atrophy: MR brain surface intensity model (BSIM) and group and individual cortical thinning studies

Lin, Zhongmin S.; Avinash, Gopal B.; McMillan, Kathryn M.; Yan, Litao; Sirohey, Saad A.; Minoshima, Satoshi

doi:10.1117/12.2006474

Cited by 2 publications

(13 citation statements)

References 21 publications

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“…Unlike Freesurfer, the BSIM-based method does not segment gray matter from white matter, but instead computes cortical thickness using the local intensity profile. This model of fit reduces the effects of partial volume and image noise, thereby achieving sub-millimeter resolution (8,9).…”

Section: Introductionmentioning

confidence: 99%

“…With BSIM, however, use of deformed brain mesh and subsequent semi-automatic skull stripping increases susceptibility to measurement variability (8). In addition, BSIM-based cortical thickness measurements have only been tested using the Alzheimer's Disease Neuroimaging Initiative (ADNI) and Australian Imaging Biomarkers and Lifestyle Study of Ageing (AIBL) databases, which contain 1.5T images.…”

Section: Introductionmentioning

confidence: 99%

“…Recently, Lin et al (8) introduced a new method of cortical thickness analysis, which they termed the brain surface intensity model (BSIM). The BSIM extracts a onedimensional intensity profile perpendicular to the gray matter iso-intensity layer (GMIIL) at each surface point.…”

Section: Introductionmentioning

confidence: 99%

“…Freesurfer does not have a cost for use and is compatible with most hardware and software platforms. However, because it was originally developed for research purposes, Freesurfer does require a high performance computer workstation and has long processing durations (8).…”

Section: Introductionmentioning

confidence: 99%

“…The BSIM extracts a onedimensional intensity profile perpendicular to the gray matter iso-intensity layer (GMIIL) at each surface point. Cortical thickness is then calculated at each surface point using the surface intensity model fit (8). Unlike Freesurfer, the BSIM-based method does not segment gray matter from white matter, but instead computes cortical thickness using the local intensity profile.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Intra-Rater and Inter-Rater Reliability of Brain Surface Intensity Model (BSIM)-Based Cortical Thickness Analysis Using 3T MRI

Jeon

Moon

et al. 2015

Investig Magn Reson Imaging

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Intra-Rater and Inter-Rater Reliability of Brain Surface Intensity Model (BSIM)-Based Cortical Thickness Analysis Using 3T MRI

Jeon

Moon

et al. 2015

Investig Magn Reson Imaging

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Longitudinal MR cortical thinning of individuals and its correlation with PET metabolic reduction: a measurement consistency and correctness studies

Lin¹,

Avinash²,

McMillan³

et al. 2014

SPIE Proceedings

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Cortical thinning and metabolic reduction can be possible imaging biomarkers for Alzheimer's disease (AD) diagnosis and monitoring. Many techniques have been developed for the cortical measurement and widely used for the clinical statistical studies. However, the measurement consistency of individuals, an essential requirement for a clinically useful technique, requires proper further investigation. Here we leverage our previously developed BSIM technique 1 to measure cortical thickness and thinning and use it with longitudinal MRI from ADNI to investigate measurement consistency and spatial resolution. 10 normal, 10 MCI, and 10 AD subjects in their 70s were selected for the study. Consistent cortical thinning patterns were observed in all baseline and follow up images. Rapid cortical thinning was shown in some MCI and AD cases. To evaluate the correctness of the cortical measurement, we compared longitudinal cortical thinning with clinical diagnosis and longitudinal PET metabolic reduction measured using 3D-SSP technique 2 for the same person. Longitudinal MR cortical thinning and corresponding PET metabolic reduction showed high level pattern similarity revealing certain correlations worthy of further studies. Severe cortical thinning that might link to disease conversion from MCI to AD was observed in two cases. In summary, our results suggest that consistent cortical measurements using our technique may provide means for clinical diagnosis and monitoring at individual patient's level and MR cortical thinning measurement can complement PET metabolic reduction measurement.

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Quantitative measurement of MR cortical atrophy: MR brain surface intensity model (BSIM) and group and individual cortical thinning studies

Cited by 2 publications

References 21 publications

Intra-Rater and Inter-Rater Reliability of Brain Surface Intensity Model (BSIM)-Based Cortical Thickness Analysis Using 3T MRI

Intra-Rater and Inter-Rater Reliability of Brain Surface Intensity Model (BSIM)-Based Cortical Thickness Analysis Using 3T MRI

Longitudinal MR cortical thinning of individuals and its correlation with PET metabolic reduction: a measurement consistency and correctness studies

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