Skip to main content

Determination of Optical Coefficients and Fractal Dimensional Parameters of Cancerous and Normal Prostate Tissues

Buy Article:

$29.00 plus tax (Refund Policy)


Optical extinction and diffuse reflection spectra of cancerous and normal prostate tissues in the 750 to 860 nm spectral range were measured. Optical extinction measurements using thin ex vivo prostate tissue samples were used to determine the scattering coefficient (μs), while diffuse reflection measurements using thick prostate tissue samples were used to extract the absorption coefficient (μa) and the reduced scattering coefficient (μ's ). The anisotropy factor (g) was obtained using the extracted values of μs and μ's. The values of fractal dimension (D f) of cancerous and normal prostate tissues were obtained by fitting to the wavelength dependence of μ's. The number of scattering particles contributing to μs as a function of particle size and the cutoff diameter D max as a function of g were investigated using the fractal soft tissue model and Mie theory. Results show that D max of the normal tissue is larger than that of the cancerous tissue. The cutoff diameter D max is observed to agree with the nuclear size for the normal tissues and the nucleolar size for the cancerous tissues. Transmission spectral polarization imaging measurements were performed that could distinguish the cancerous prostate tissue samples from the normal tissue samples based on the differences between their absorption and scattering parameters.

Keywords: Absorption coefficient; Anisotropy factor; Biomedical imaging; Diffusion; Fractal tissue model; Mie theory; NIR spectroscopy; Near-infrared imaging; Prostate cancer detection; Prostate tissue; Reduced scattering coefficient; Scattering coefficient; Transmission imaging

Document Type: Research Article


Affiliations: Institute for Ultrafast Spectroscopy and Lasers, Department of Physics, The City College of the City University of New York, 160 Convent Avenue, New York, NY 10031 USA

Publication date: July 1, 2012

More about this publication?

Access Key

Free Content
Free content
New Content
New content
Open Access Content
Open access content
Subscribed Content
Subscribed content
Free Trial Content
Free trial content
Cookie Policy
Cookie Policy
ingentaconnect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more
Real Time Web Analytics