Literature DB >> 8739270

Inferring microstructural features and the physiological state of tissues from diffusion-weighted images.

P J Basser1.   

Abstract

We review several methods that have been developed to infer microstructural and physiological information about isotropic and anisotropic tissues from diffusion weighted images (DWIs). These include Diffusion Imaging (DI), Diffusion Tensor Imaging (DTI), isotropically weighted imaging, and q-space imaging. Just as DI provides useful information about molecular displacements in one dimension with which to characterize diffusion in isotropic tissues, DTI provides information about molecular displacements in three dimensions needed to characterize diffusion is anisotropic tissues. DTI also furnishes scalar parameters that behave like quantitative histological or physiological 'stains' for different features of diffusion. These include Trace(D), which is related to the mean diffusivity, and a family of parameters derived from the diffusion tensor, D, which characterize different features of anisotropic diffusion. Simple thought experiments and geometrical constructs, such as the diffusion ellipsoid, can be used to understand water diffusion in isotropic and anisotropic media, and the NMR experiments used to characterize it.

Entities:  

Mesh:

Substances:

Year:  1995        PMID: 8739270     DOI: 10.1002/nbm.1940080707

Source DB:  PubMed          Journal:  NMR Biomed        ISSN: 0952-3480            Impact factor:   4.044


  499 in total

1.  Analysis of normal-appearing white matter in multiple sclerosis: comparison of diffusion tensor MR imaging and magnetization transfer imaging.

Authors:  A C Guo; V L Jewells; J M Provenzale
Journal:  AJNR Am J Neuroradiol       Date:  2001 Nov-Dec       Impact factor: 3.825

2.  Quantitative analysis of three-dimensional-resolved fiber architecture in heterogeneous skeletal muscle tissue using nmr and optical imaging methods.

Authors:  V J Napadow; Q Chen; V Mai; P T So; R J Gilbert
Journal:  Biophys J       Date:  2001-06       Impact factor: 4.033

Review 3.  Diffusion tensor imaging: a review for pediatric researchers and clinicians.

Authors:  Heidi M Feldman; Jason D Yeatman; Eliana S Lee; Laura H F Barde; Shayna Gaman-Bean
Journal:  J Dev Behav Pediatr       Date:  2010-05       Impact factor: 2.225

4.  White matter compromise predicts poor intellectual outcome in survivors of pediatric low-grade glioma.

Authors:  Fang Liu; Nadia Scantlebury; Uri Tabori; Eric Bouffet; Suzanne Laughlin; Douglas Strother; Dina McConnell; Juliette Hukin; Chris Fryer; Marie-Eve Brière; Isabelle Montour-Proulx; Daniel Keene; Frank Wang; Donald J Mabbott
Journal:  Neuro Oncol       Date:  2014-11-13       Impact factor: 12.300

5.  Thalamus and cognitive impairment in mild traumatic brain injury: a diffusional kurtosis imaging study.

Authors:  Elan J Grossman; Yulin Ge; Jens H Jensen; James S Babb; Laura Miles; Joseph Reaume; Jonathan M Silver; Robert I Grossman; Matilde Inglese
Journal:  J Neurotrauma       Date:  2011-09-15       Impact factor: 5.269

Review 6.  Autism spectrum disorder: does neuroimaging support the DSM-5 proposal for a symptom dyad? A systematic review of functional magnetic resonance imaging and diffusion tensor imaging studies.

Authors:  Laura Pina-Camacho; Sonia Villero; David Fraguas; Leticia Boada; Joost Janssen; Francisco J Navas-Sánchez; Maria Mayoral; Cloe Llorente; Celso Arango; Mara Parellada
Journal:  J Autism Dev Disord       Date:  2012-07

Review 7.  Imaging of neurogenetic and neurometabolic disorders of childhood.

Authors:  Andrea Gropman
Journal:  Curr Neurol Neurosci Rep       Date:  2004-03       Impact factor: 5.081

8.  Early deprivation, atypical brain development, and internalizing symptoms in late childhood.

Authors:  J Bick; N Fox; C Zeanah; C A Nelson
Journal:  Neuroscience       Date:  2015-09-16       Impact factor: 3.590

9.  Comparing prognostic strength of acute corticospinal tract injury measured by a new diffusion tensor imaging based template approach versus common approaches.

Authors:  Kelsi K Hirai; Benjamin N Groisser; William A Copen; Aneesh B Singhal; Judith D Schaechter
Journal:  J Neurosci Methods       Date:  2015-09-16       Impact factor: 2.390

Review 10.  Converging levels of analysis on a genomic hotspot for psychosis: insights from 22q11.2 deletion syndrome.

Authors:  Matthew J Schreiner; Maria T Lazaro; Maria Jalbrzikowski; Carrie E Bearden
Journal:  Neuropharmacology       Date:  2012-10-23       Impact factor: 5.250

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.