Utilizing spatial and spectral features of photoacoustic imaging for ovarian cancer detection and diagnosis.

@article{Li2015UtilizingSA,
  title={Utilizing spatial and spectral features of photoacoustic imaging for ovarian cancer detection and diagnosis.},
  author={Hai Li and Patrick D. Kumavor and Umar Salman Alqasemi and Quing Zhu},
  journal={Journal of biomedical optics},
  year={2015},
  volume={20 1},
  pages={
          016002
        }
}
A composite set of ovarian tissue features extracted from photoacoustic spectral data, beam envelope, and co-registered ultrasound and photoacoustic images are used to characterize malignant and normal ovaries using logistic and support vector machine (SVM) classifiers. Normalized power spectra were calculated from the Fourier transform of the photoacoustic beamformed data, from which the spectral slopes and 0-MHz intercepts were extracted. Five features were extracted from the beam envelope… CONTINUE READING