Multispectral co-occurrence with three random variables in dynamic contrast enhanced magnetic resonance imaging of breast cancer
IEEE TRANSACTIONS ON MEDICAL IMAGING, cilt.27, sa.10, ss.1425-1431, 2008 (SCI-Expanded, Scopus)
- Yayın Türü: Makale / Tam Makale
- Cilt numarası: 27 Sayı: 10
- Basım Tarihi: 2008
- Doi Numarası: 10.1109/tmi.2008.922181
- Dergi Adı: IEEE TRANSACTIONS ON MEDICAL IMAGING
- Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
- Sayfa Sayıları: ss.1425-1431
- Eskişehir Osmangazi Üniversitesi Adresli: Hayır
Özet
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.