Research summary
The N3 method introduced a nonparametric correction for intensity non-uniformity in magnetic resonance imaging that does not require a tissue-class model, allowing it to be applied early in an automated MRI analysis pipeline before tissue classification [1]. Automatic 3D intersubject registration of MR volumetric data into the standardized Talairach space was developed to enable cross-subject comparison and atlas-based quantitative analysis of brain images [2]. A realistic digital brain phantom was designed and built to validate medical-image processing algorithms by providing simulated data with ground truth that complements in vivo testing [7]. A unified statistical theory for assessing the significance of apparent signal in noisy difference images was developed, with applications to PET and fMRI and an explicit estimate of the P-value for activated regions [3], building on an earlier three-dimensional statistical analysis tailored to CBF activation studies in PET that handled the small effect sizes typical of cognitive paradigms [5]. A separate paper provides an approximate analysis of the probability that one or more activated regions of a given volume or larger could have occurred by chance, allowing inference to use cluster spatial extent rather than peak height alone [6]. A four-dimensional probabilistic atlas and reference system for the human brain was built through the International Consortium for Brain Mapping (ICBM), using imaging and behavioral data on 7,000 subjects aged 18-90 to support cross-study anatomical comparison [4].
Recent publications
- Brain development during childhood and adolescence: a longitudinal MRI studyDOI
- A nonparametric method for automatic correction of intensity nonuniformity in MRI dataDOI
- Automatic 3D Intersubject Registration of MR Volumetric Data in Standardized Talairach SpaceDOI
- A unified statistical approach for determining significant signals in images of cerebral activationDOI
- Unbiased average age-appropriate atlases for pediatric studiesDOI
- A probabilistic atlas and reference system for the human brain: International Consortium for Brain Mapping (ICBM)DOI
- A Three-Dimensional Statistical Analysis for CBF Activation Studies in Human BrainDOI
- Assessing the significance of focal activations using their spatial extentDOI
- Stereotaxic white matter atlas based on diffusion tensor imaging in an ICBM templateDOI
- Design and construction of a realistic digital brain phantomDOI
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How to apply
Email Alan C. Evans 6-12 months before your application deadline. Read several recent papers and reference specific work in your message. Use our how to email a Japanese professor guide for the proven email structure.
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External profiles
- ORCID: https://orcid.org/0000-0003-3841-6098
- OpenAlex: openalex.org
Profile compiled from public sources (Researchmap, OpenAlex, Tohoku University faculty directory). Last refreshed 2026-05. Report incorrect information.