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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.
- 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.
- Subjects :
- Female
Humans
Image Enhancement methods
Reproducibility of Results
Sensitivity and Specificity
Algorithms
Artificial Intelligence
Breast Neoplasms diagnosis
Contrast Media
Image Interpretation, Computer-Assisted methods
Imaging, Three-Dimensional methods
Magnetic Resonance Imaging methods
Pattern Recognition, Automated methods
Subjects
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