Computational Anatomy in Alzheimer's Disease

Alex D. Leow; Liana G. Apostolova; Paul M. Thompson

doi:10.1002/9780470669600.ch46

Computational Anatomy in Alzheimer's Disease

Alex D. Leow
, Liana G. Apostolova
, Paul M. Thompson

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

Abstract

Computational anatomy covers a broad class of mathematical methods that model anatomical structures in images as three-dimensional curves, surfaces and volumes, and combine them across subjects to create statistical maps of structural differences among brains. The methods described here are cortical thickness mapping, time-lapse, tensor-based morphometry, and hippocampal radial mapping.

Original language	English
Title of host publication	Principles and Practice of Geriatric Psychiatry
Subtitle of host publication	Third Edition
Publisher	John Wiley and Sons
Pages	262-270
Number of pages	9
ISBN (Print)	9780470747230
DOIs	https://doi.org/10.1002/9780470669600.ch46
State	Published - 2 Dec 2010
Externally published	Yes

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10.1002/9780470669600.ch46

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title = "Computational Anatomy in Alzheimer's Disease",

abstract = "Computational anatomy covers a broad class of mathematical methods that model anatomical structures in images as three-dimensional curves, surfaces and volumes, and combine them across subjects to create statistical maps of structural differences among brains. The methods described here are cortical thickness mapping, time-lapse, tensor-based morphometry, and hippocampal radial mapping.",

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AU - Leow, Alex D.

AU - Apostolova, Liana G.

AU - Thompson, Paul M.

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Y1 - 2010/12/2

N2 - Computational anatomy covers a broad class of mathematical methods that model anatomical structures in images as three-dimensional curves, surfaces and volumes, and combine them across subjects to create statistical maps of structural differences among brains. The methods described here are cortical thickness mapping, time-lapse, tensor-based morphometry, and hippocampal radial mapping.

AB - Computational anatomy covers a broad class of mathematical methods that model anatomical structures in images as three-dimensional curves, surfaces and volumes, and combine them across subjects to create statistical maps of structural differences among brains. The methods described here are cortical thickness mapping, time-lapse, tensor-based morphometry, and hippocampal radial mapping.

UR - https://www.scopus.com/pages/publications/84885818141

U2 - 10.1002/9780470669600.ch46

DO - 10.1002/9780470669600.ch46

M3 - Chapter

AN - SCOPUS:84885818141

SN - 9780470747230

SP - 262

EP - 270

BT - Principles and Practice of Geriatric Psychiatry

PB - John Wiley and Sons

ER -

Computational Anatomy in Alzheimer's Disease

Abstract

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