Literature DB >> 2646959

Magnetic resonance technology in human brain science: blueprint for a program based upon morphometry.

V S Caviness1, P A Filipek, D N Kennedy.   

Abstract

Magnetic resonance images provide a comprehensiveness of analysis of the human brain and levels of resolution never achieved by other modes of pathoanatomic analysis. We review a strategy and technology of MRI-based image analysis which extracts independent measures of brain volumes, shape and position. These parameters are readily correlated with behavioral as well as physiological measures derived from PET and the emerging technology of MRI-based in vivo spectroscopy. A coordinate program which draws upon these methods will have wide applications in human brain science and the study of dynamic properties of human brain disease.

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Year:  1989        PMID： 2646959     DOI： 10.1016/s0387-7604(89)80002-6

Source DB:  PubMed          Journal:  Brain Dev        ISSN： 0387-7604            Impact factor:   1.961


  24 in total

1.  Amygdala-hippocampal shape differences in schizophrenia: the application of 3D shape models to volumetric MR data.

Authors:  Martha E Shenton; Guido Gerig; Robert W McCarley; Gábor Székely; Ron Kikinis
Journal:  Psychiatry Res       Date:  2002-08-20       Impact factor: 3.222

2.  Regional infant brain development: an MRI-based morphometric analysis in 3 to 13 month olds.

Authors:  Myong-Sun Choe; Silvia Ortiz-Mantilla; Nikos Makris; Matt Gregas; Janine Bacic; Daniel Haehn; David Kennedy; Rudolph Pienaar; Verne S Caviness; April A Benasich; P Ellen Grant
Journal:  Cereb Cortex       Date:  2012-07-06       Impact factor: 5.357

3.  Cognitive function, P3a/P3b brain potentials, and cortical thickness in aging.

Authors:  Anders M Fjell; Kristine B Walhovd; Bruce Fischl; Ivar Reinvang
Journal:  Hum Brain Mapp       Date:  2007-11       Impact factor: 5.038

4.  A computational atlas of the hippocampal formation using ex vivo, ultra-high resolution MRI: Application to adaptive segmentation of in vivo MRI.

Authors:  Juan Eugenio Iglesias; Jean C Augustinack; Khoa Nguyen; Christopher M Player; Allison Player; Michelle Wright; Nicole Roy; Matthew P Frosch; Ann C McKee; Lawrence L Wald; Bruce Fischl; Koen Van Leemput
Journal:  Neuroimage       Date:  2015-04-29       Impact factor: 6.556

5.  A Generative Model for Probabilistic Label Fusion of Multimodal Data.

Authors:  Juan Eugenio Iglesias; Mert Rory Sabuncu; Koen Van Leemput
Journal:  Multimodal Brain Image Anal (2012)       Date:  2012

6.  A probabilistic, non-parametric framework for inter-modality label fusion.

Authors:  Juan Eugenio Iglesias; Mert Rory Sabuncu; Koen Van Leemput
Journal:  Med Image Comput Comput Assist Interv       Date:  2013

7.  Is synthesizing MRI contrast useful for inter-modality analysis?

Authors:  Juan Eugenio Iglesias; Ender Konukoglu; Darko Zikic; Ben Glocker; Koen Van Leemput; Bruce Fischl
Journal:  Med Image Comput Comput Assist Interv       Date:  2013

8.  A METHODOLOGY FOR ANALYZING CURVATURE IN THE DEVELOPING BRAIN FROM PRETERM TO ADULT.

Authors:  R Pienaar; B Fischl; V Caviness; N Makris; P E Grant
Journal:  Int J Imaging Syst Technol       Date:  2008-06-01       Impact factor: 2.000

9.  Fast and sequence-adaptive whole-brain segmentation using parametric Bayesian modeling.

Authors:  Oula Puonti; Juan Eugenio Iglesias; Koen Van Leemput
Journal:  Neuroimage       Date:  2016-09-07       Impact factor: 6.556

10.  Hippocampal volumes are important predictors for memory function in elderly women.

Authors:  Martin A Ystad; Astri J Lundervold; Eike Wehling; Thomas Espeseth; Helge Rootwelt; Lars Tjelta Westlye; Martin Andersson; Steinunn Adolfsdottir; Jonn Terje Geitung; Anders M Fjell; Ivar Reinvang; Arvid Lundervold
Journal:  BMC Med Imaging       Date:  2009-08-22       Impact factor: 1.930
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