Multispectral quantification of tissue types in a RIF-1 tumor model with histological validation. Part I.

@article{Henning2007MultispectralQO,
  title={Multispectral quantification of tissue types in a RIF-1 tumor model with histological validation. Part I.},
  author={Erica C Henning and Chieko Azuma and Christopher H. Sotak and Karl G. Helmer},
  journal={Magnetic resonance in medicine},
  year={2007},
  volume={57 3},
  pages={501-12}
}
Accurate assessments of therapeutic efficacy are confounded by intra- and intertumor heterogeneity. To address this issue we employed multispectral (MS) analysis using the apparent diffusion coefficient (ADC), T(2), proton density (M(0)), and k-means (KM) clustering algorithm to identify multiple compartments within both viable and necrotic tissue in a radiation-induced fibrosarcoma (RIF-1) tumor model receiving single-dose (1000 cGy) radiotherapy. Optimization of the KM method was achieved… CONTINUE READING