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Multi-atlas based detection and localization (MADL) for location-dependent quantification of white matter hyperintensities
- Source :
- NeuroImage : Clinical, NeuroImage: Clinical, Vol 22, Iss, Pp-(2019)
- Publication Year :
- 2019
- Publisher :
- Elsevier, 2019.
-
Abstract
- The extent and spatial location of white matter hyperintensities (WMH) on brain MRI may be relevant to the development of cognitive decline in older persons. Here, we introduce a new method, known as the Multi-atlas based Detection and Localization (MADL), to evaluate WMH on fluid-attenuated inversion recovery (FLAIR) data. This method simultaneously parcellates the whole brain into 143 structures and labels hyperintense areas within each WM structure. First, a multi-atlas library was established with FLAIR data of normal elderly brains; and then a multi-atlas fusion algorithm was developed by which voxels with locally abnormal intensities were detected as WMH. At the same time, brain segmentation maps were generated from the multi-atlas fusion process to determine the anatomical location of WMH. Areas identified using the MADL method agreed well with manual delineation, with an interclass correlation of 0.97 and similarity index (SI) between 0.55 and 0.72, depending on the total WMH load. Performance was compared to other state-of-the-art WMH detection methods, such as BIANCA and LST. MADL-based analyses of WMH in an older population revealed a significant association between age and WMH load in deep WM but not subcortical WM. The findings also suggested increased WMH load in selective brain regions in subjects with mild cognitive impairment compared to controls, including the inferior deep WM and occipital subcortical WM. The proposed MADL approach may facilitate location-dependent characterization of WMH in older individuals with memory impairment.<br />Highlights • We proposed a multi-atlas based method for simultaneous detection and location of WMH on FLAIR images. • The method generates whole-brain segmentation for location-dependent WMH analysis. • The method showed reasonably high detection accuracy in comparison with other methods. • Results revealed a selective association between deep brain WMH and subject age. • Results suggested increased WMH in the inferior white matter in MCI patients.
- Subjects :
- Cognitive Neuroscience
Interclass correlation
Neuroimaging
Fluid-attenuated inversion recovery
computer.software_genre
lcsh:Computer applications to medicine. Medical informatics
behavioral disciplines and activities
050105 experimental psychology
lcsh:RC346-429
Older population
03 medical and health sciences
0302 clinical medicine
Segmentation
Atlases as Topic
Multi-atlas
Voxel
mental disorders
Image Interpretation, Computer-Assisted
White matter hyperintensities
FLAIR
Medicine
Brain segmentation
Humans
0501 psychology and cognitive sciences
Radiology, Nuclear Medicine and imaging
Cognitive Dysfunction
Cognitive decline
lcsh:Neurology. Diseases of the nervous system
Mild cognitive disorder
Aged
business.industry
05 social sciences
Multi atlas
Leukoaraiosis
Regular Article
Magnetic Resonance Imaging
Hyperintensity
Neurology
lcsh:R858-859.7
Neurology (clinical)
business
computer
Cartography
030217 neurology & neurosurgery
Algorithms
Subjects
Details
- Language :
- English
- ISSN :
- 22131582
- Volume :
- 22
- Database :
- OpenAIRE
- Journal :
- NeuroImage : Clinical
- Accession number :
- edsair.doi.dedup.....26a4e5b6505917e354a30021cdd7b4f4