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Multispectral co-occurrence with three random variables in dynamic contrast enhanced magnetic resonance imaging of breast cancer.

Multispectral co-occurrence with three random variables in dynamic contrast enhanced magnetic resonance imaging of breast cancer.

Authors :
Kale MC
Clymer BD
Koch RM
Heverhagen JT
Sammet S
Stevens R
Knopp MV
Source :
IEEE transactions on medical imaging [IEEE Trans Med Imaging] 2008 Oct; Vol. 27 (10), pp. 1425-31.
Publication Year :
2008

Abstract

Presented is a new computer-aided multispectral image processing method which is used in three spatial dimensions and one spectral dimension where the dynamic, contrast enhanced magnetic resonance parameter maps derived from voxel-wise model-fitting represent the spectral dimension. The method is based on co-occurrence analysis using a 3-D window of observation which introduces an automated identification of suspicious lesions. The co-occurrence analysis defines 21 different statistical features, a subset of which were input to a neural network classifier where the assessments of the voxel-wise majority of a group of radiologist readings were used as the gold standard. The voxel-wise true positive fraction (TPF) and false positive fraction (FPF) results of the computer classifier were statistically indistinguishable from the TPF and FPF results of the readers using a one sample paired t-test. In order to observe the generality of the method, two different groups of studies were used with widely different image acquisition specifications.

Details

Language :
English
ISSN :
1558-254X
Volume :
27
Issue :
10
Database :
MEDLINE
Journal :
IEEE transactions on medical imaging
Publication Type :
Academic Journal
Accession number :
18815094
Full Text :
https://doi.org/10.1109/TMI.2008.922181