GND-PCA-Based Statistical Modeling of Diaphragm Motion Extracted from 4D MRI

Abstract

We analyzed a statistical model of diaphragm motion using regular principal component analysis (PCA) and generalized N-dimensional PCA (GND-PCA). First, we generate 4D MRI of respiratory motion from 2D MRI using an intersection profile method. We then extract semiautomatically the diaphragm boundary from the 4D-MRI to get subject-specific diaphragm motion… (More)
DOI: 10.1155/2013/482941

Topics

12 Figures and Tables

Slides referencing similar topics