11 May 1994 Quantifying white matter lesions with MRI using finite mixture density and 2D clustering estimation
Author Affiliations +
Abstract
Research is presented in which white matter lesions are quantified using MRI data on cardiac surgery patients. Various methods of quantification are presented including finite mixture density analysis of various MRI parameters, K-means, and principal components analysis. Pre- and post-operative data sets are studied for each patient to determine the change in lesion load due to surgery. The various methods are compared and the differences are indicated on both registered and unregistered data sets. Agreement among the methods is not good in many instances and at times show an inverse correlation. Images and data showing the gray scale distributions are presented.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
William H. Hinson, Howard Donald Gage, Dixon M. Moody, Peter Santago, "Quantifying white matter lesions with MRI using finite mixture density and 2D clustering estimation", Proc. SPIE 2167, Medical Imaging 1994: Image Processing, (11 May 1994); doi: 10.1117/12.175077; https://doi.org/10.1117/12.175077
PROCEEDINGS
7 PAGES


SHARE
Back to Top