Automated Quantification Of White Matter Hyperintensity Burden Using Mprage And Flair Images From A Large Population

Author

Keith McLeod Hulsey

Graduation Semester and Year

2008

Language

English

Document Type

Thesis

Degree Name

Master of Science in Biomedical Engineering

Department

Bioengineering

First Advisor

Roderick McColl

Abstract

White Matter Hyperintensity(WMH) burden, as observed in T2 and proton weighted MR images, is associated with several health factors such as decreased cognitive ability, hypertension, diabetes and cerebrovascular disease. An algorithm was developed to automatically estimate WMH burden from pairs of MPRAGE and FLAIR images which is robust and requires essentially no operator involvement. The WMH burden estimation generated by this fully automated algorithm has been shown to correlate well with known risk factors for WMH burden.

Disciplines

Biomedical Engineering and Bioengineering | Engineering

License

This work is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 4.0 International License.

Comments

Degree granted by The University of Texas at Arlington

Recommended Citation

Hulsey, Keith McLeod, "Automated Quantification Of White Matter Hyperintensity Burden Using Mprage And Flair Images From A Large Population" (2008). Bioengineering Theses. 48.
https://mavmatrix.uta.edu/bioengineering_theses/48