Automated quality control in MR-based brain morphometry

Normal aging and a wide range of neurologic, inflammatory or psychiatric diseases lead to changes in the brain tissue over time. In the interest of diagnosis, prognosis and treatment monitoring, it is highly desirable to have robust tools that reliably measure brain morphometry. We explore the ability of an automated MR image quality assessment technique to predict the accuracy of subsequent algorithms for brain quantitative analysis. The approach proofs to be a very promising candidate to objectively assess quality prior to any post-processing in order to attribute tissue changes to a potential pathology rather than to image degradation.


Presented at:
20th meeting of the International Society for Magnetic Resonance in Medicine (ISMRM), Melbourne, May 5-12, 2012
Year:
2012
Keywords:
Laboratories:


Note: The status of this file is: EPFL only


 Record created 2012-06-05, last modified 2018-03-18

n/a:
Download fulltext
PDF

Rate this document:

Rate this document:
1
2
3
 
(Not yet reviewed)