Near Infrared Photonic Finger Imager for Prostate Cancer Screening

A portable rectal near infrared (NIR) scanning polarization imaging unit with an optical fiber-based rectal probe, designated as a Photonic Finger (PF), was designed, developed, built and tested. PF was used to image and locate the three dimensional (3D) positions of abnormal prostate tissue embedded inside normal prostate tissue. An inverse image reconstruction algorithm, namely Optical Tomography using Independent Component Analysis (OPTICA) was developed to unmix the signal from targets (cancerous tissue) embedded in a turbid media (normal tissue) in the backscattering imaging geometry. The Photonic Finger combined with OPTICA was ex vivo tested to characterize different target(s) inside different tissue medium, including cancerous prostate tissue embedded inside large pieces of normal tissue. This new developed instrument, Photonic Finger, may provide an alternative imaging technique, which is accurate, of high spatial resolution and non-or-less invasive for prostate cancers screening.

[1]  W. Catalona,et al.  Measurement of prostate-specific antigen in serum as a screening test for prostate cancer. , 1991, The New England journal of medicine.

[2]  S H Woolf,et al.  American College of Preventive Medicine practice policy. Screening for prostate cancer in American men. , 1998, American journal of preventive medicine.

[3]  Steven A Kaplan Expression of somatostatin receptor subtypes 2 and 4 in human benign prostatic hyperplasia and prostatic cancer. , 2003, The Journal of urology.

[4]  Robert R. Alfano,et al.  Spectral polarization imaging of human rectum-membrane-prostate tissues , 2003 .

[5]  W E Bolch,et al.  Individual variations in mucosa and total wall thickness in the stomach and rectum assessed via endoscopic ultrasound. , 2003, Physiological measurement.

[6]  W. Catalona,et al.  Detection of organ-confined prostate cancer is increased through prostate-specific antigen-based screening. , 1993, JAMA.

[7]  R R Alfano,et al.  Study of rotational dynamics of receptor-targeted contrast agents in cancerous and normal prostate tissues using time-resolved picosecond emission spectroscopy. , 2011, Applied optics.

[8]  R. Alfano,et al.  Ballistic 2-D Imaging Through Scattering Walls Using an Ultrafast Optical Kerr Gate , 1991, Science.

[9]  R R Alfano,et al.  Time-resolved fluorescence polarization dynamics and optical imaging of Cytate: a prostate cancer receptor-targeted contrast agent. , 2008, Applied optics.

[10]  R R Alfano,et al.  Spectral Polarization Imaging of Human Prostate Cancer Tissue Using a Near-infrared Receptor-targeted Contrast Agent , 2005, Technology in cancer research & treatment.

[11]  M. Stampfer,et al.  A prospective evaluation of plasma prostate-specific antigen for detection of prostatic cancer. , 1995, JAMA.

[12]  S. Achilefu,et al.  Novel receptor-targeted fluorescent contrast agents for in vivo tumor imaging. , 2000, Investigative radiology.

[13]  A. Welch,et al.  A review of the optical properties of biological tissues , 1990 .

[14]  I M Thompson,et al.  Economics of screening for carcinoma of the prostate. , 1990, The Urologic clinics of North America.

[15]  F. Mostofi,et al.  Characteristics of prostate cancer detected in the American Cancer Society-National Prostate Cancer Detection Project. , 1994, The Journal of urology.

[16]  D. Tindall,et al.  Defeating prostate cancer: Crucial directions for research—excerpt from the report of the Prostate Cancer Progress Review Group , 1999, The Prostate.

[17]  Robert R. Alfano,et al.  Three dimensional localization of cancerous prostate tissue using backscattering scanning polarization imaging and independent component analysis , 2011, BiOS.

[18]  Louis R Kavoussi,et al.  Comparison of digital rectal examination and serum prostate specific antigen in the early detection of prostate cancer: results of a multicenter clinical trial of 6,630 men. , 1994, The Journal of urology.

[19]  M. Cowen,et al.  Screening for prostate cancer. , 1995, JAMA.

[20]  R R Alfano,et al.  Optical imaging of turbid media using independent component analysis: theory and simulation. , 2005, Journal of biomedical optics.