Title
Quantifying heterogeneity in dynamic contrast-enhanced MRI parameter maps
Abstract
Simple summary statistics of Dynamic Contrast-Enhanced MRI (DCE-MRI) parameter maps (e.g. the median) neglect the spatial arrangement of parameters, which appears to carry important diagnostic and prognostic information. This paper describes novel statistics that are sensitive to both parameter values and their spatial arrangement. Binary objects are created from 3-D DCE-MRI parameter maps by "extruding" each voxel into a fourth dimension; the extrusion distance is proportional to the voxel's value. The following statistics are then computed on these 4-D binary objects: surface area, volume, surface area to volume ratio, and box counting (fractal) dimension. An experiment using 4 low and 5 high grade gliomas showed significant differences between the two grades for box counting dimension computed for extruded ve maps, surface area of extruded Ktrans and ve maps and the volume of extruded ve maps (all p Ktrans and ve maps (p = 0.0013 and p = 0.045 respectively).
Year
Venue
Keywords
2007
MICCAI (2)
algorithms,vascular endothelial growth factor,fractal dimension,surface area
Field
DocType
Volume
Voxel,Surface area,Computer vision,VEGF receptors,Fractal,Artificial intelligence,Box counting,Dynamic contrast-enhanced MRI,Surface-area-to-volume ratio,Fourth Dimension,Mathematics
Conference
10
Issue
ISSN
ISBN
Pt 2
0302-9743
3-540-75758-9
Citations 
PageRank 
References 
1
0.41
0
Authors
10