A Model for Multiparametric MRI Tissue Characterization in Experimental Cerebral Ischemia With Histological Validation in Rat | Zendy

Michael A. Jacobs | Zendy; Zheng G. Zhang | Zendy; Robert A. Knight | Zendy; Hamid SoltanianZadeh | Zendy; Anton Goussev | Zendy; Donald J. Peck | Zendy; Michael Chopp | Zendy

Open Access

A Model for Multiparametric MRI Tissue Characterization in Experimental Cerebral Ischemia With Histological Validation in Rat

Author(s) -

Michael A. Jacobs,

Zheng G. Zhang,

Robert A. Knight,

Hamid SoltanianZadeh,

Anton Goussev,

Donald J. Peck,

Michael Chopp

Publication year - 2001

Publication title -

stroke

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.397

H-Index - 319

eISSN - 1524-4628

pISSN - 0039-2499

DOI - 10.1161/01.str.32.4.943

Subject(s) - medicine , diffusion mri , ischemia , brain tissue , multiparametric mri , data set , stroke (engine) , segmentation , ischemic stroke , pathology , biomedical engineering , magnetic resonance imaging , radiology , artificial intelligence , prostate , computer science , mechanical engineering , cancer , engineering

After stroke, brain tissue undergoes time-dependent heterogeneous histopathological change. These tissue alterations have MRI characteristics that allow segmentation of ischemic from nonischemic tissue. Moreover, MRI segmentation generates different zones within the lesion that may reflect heterogeneity of tissue damage.

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