Literature DB >> 15677353

Voxel based analysis of tissue volume from MRI data.

N A Thacker1, D C Williamson, M Pokric.   

Abstract

There are many techniques available for the analysis of MRI data. Often these methods are presented as completed algorithms, which specify what processing must be performed, but they are rarely presented in a way which makes clear the assumptions that must hold in order that these algorithms will provide valid results. The aim of this review article is to relate the common forms of algorithms and to explain the assumptions behind them. This is done in the context of the use of quantitative statistical methods, which we understand to be the only self-consistent method for any data analysis. We hope that this will go some way towards helping with the choice of which algorithm to use for particular analysis tasks.

Mesh:

Year:  2004        PMID: 15677353     DOI: 10.1259/bjr/11445826

Source DB:  PubMed          Journal:  Br J Radiol        ISSN: 0007-1285            Impact factor:   3.039


  3 in total

1.  Brain structure and obesity.

Authors:  Cyrus A Raji; April J Ho; Neelroop N Parikshak; James T Becker; Oscar L Lopez; Lewis H Kuller; Xue Hua; Alex D Leow; Arthur W Toga; Paul M Thompson
Journal:  Hum Brain Mapp       Date:  2010-03       Impact factor: 5.038

2.  Absence of changes in cortical thickness in patients with migraine.

Authors:  Ritobrato Datta; John A Detre; Geoffrey K Aguirre; Brett Cucchiara
Journal:  Cephalalgia       Date:  2011-09-12       Impact factor: 6.292

3.  Arterial input function calculation in dynamic contrast-enhanced MRI: an in vivo validation study using co-registered contrast-enhanced ultrasound imaging.

Authors:  Hatef Mehrabian; Chaitanya Chandrana; Ian Pang; Rajiv Chopra; Anne L Martel
Journal:  Eur Radiol       Date:  2012-03-27       Impact factor: 5.315

  3 in total

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