Human Brain in Standard MNI Space

A Comprehensive Pocket Atlas

Nonfiction, Health & Well Being, Medical, Specialties, Internal Medicine, Neurology, Science & Nature, Science, Biological Sciences
Cover of the book Human Brain in Standard MNI Space by Juergen K. Mai, Milan Majtanik, Elsevier Science
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Author: Juergen K. Mai, Milan Majtanik ISBN: 9780128112762
Publisher: Elsevier Science Publication: June 24, 2017
Imprint: Academic Press Language: English
Author: Juergen K. Mai, Milan Majtanik
ISBN: 9780128112762
Publisher: Elsevier Science
Publication: June 24, 2017
Imprint: Academic Press
Language: English

Human Brain in Standard MNI Space: A Comprehensive Pocket Atlas is a thorough pocket atlas designed for easy reference and interpretation of medical and scientific MR-images. It is intended for both early career and advanced medical students, for residents in radiology and neurology, and those involved in neuroscience research, emphasizing anatomy’s relationship to radiology.

In addition, the book is ideal for non-specialists interested in issues relating to the brain or the determination of imaging features.

  • Provides gyral/sulcal designations (in the MNI figures), as well as cortical (Brodmann’s areas) delineations (in the diagrams)
  • Contains a three page section with (small) diagrams, providing 3D reconstruction of the MNI brain with definition of the cortex gyri and sulci
  • Includes a section that explains the Brodmann areas, along with a list of abbreviations, structures, and a hierarchical tree of structures
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

Human Brain in Standard MNI Space: A Comprehensive Pocket Atlas is a thorough pocket atlas designed for easy reference and interpretation of medical and scientific MR-images. It is intended for both early career and advanced medical students, for residents in radiology and neurology, and those involved in neuroscience research, emphasizing anatomy’s relationship to radiology.

In addition, the book is ideal for non-specialists interested in issues relating to the brain or the determination of imaging features.

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