| Autor: |
Kale MC; Department of Electrical and Computer Engineering, The Ohio State University, Columbus, OH 43210, USA., Clymer BD, Koch RM, Heverhagen JT, Sammet S, Stevens R, Knopp MV |
| Jazyk: |
angličtina |
| Zdroj: |
IEEE transactions on medical imaging [IEEE Trans Med Imaging] 2008 Oct; Vol. 27 (10), pp. 1425-31. |
| DOI: |
10.1109/TMI.2008.922181 |
| Abstrakt: |
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. |
| Databáze: |
MEDLINE |
| Externí odkaz: |
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