Illumination system characterization for hyperspectral imaging

Near-infrared hyperspectral imaging is becoming a popular tool in the biomedical field, especially for detection and analysis of different types of cancers, analysis of skin burns and bruises, imaging of blood vessels and for many other applications. As in all imaging systems, proper illumination is crucial to attain optimal image quality that is needed for best performance of image analysis algorithms. In hyperspectral imaging based on filters (AOTF, LCTF and filter wheel) the acquired spectral signature has to be representative in all parts of the imaged object. Therefore, the whole object must be equally well illuminated - without shadows and specular reflections. As there are no restrictions imposed on the material and geometry of the object, the desired object illumination can only be achieved with completely diffuse illumination. In order to minimize shadows and specular reflections in diffuse illumination the light illuminating the object must be spatially, angularly and spectrally uniform. We present and test two diffuse illumination system designs that try to achieve optimal uniformity of the above mentioned properties. The illumination uniformity properties were measured with an AOTF based hyperspectral imaging system utilizing a standard white diffuse reflectance target and a specially designed calibration target for estimating the spatial and angular illumination uniformity.

[1]  Lise Lyngsnes Randeberg,et al.  Characterization of vascular structures and skin bruises using hyperspectral imaging, image analysis and diffusion theory , 2009, Journal of biophotonics.

[2]  Georgios N Stamatas,et al.  In vivo documentation of cutaneous inflammation using spectral imaging. , 2007, Journal of biomedical optics.

[3]  Rafael C. González,et al.  Local Determination of a Moving Contrast Edge , 1985, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[4]  A. Peirs,et al.  Nondestructive measurement of fruit and vegetable quality by means of NIR spectroscopy: A review , 2007 .

[5]  R. Lu,et al.  Measurement of the optical properties of fruits and vegetables using spatially resolved hyperspectral diffuse reflectance imaging technique , 2008 .

[6]  R. Lu,et al.  Prediction of Apple Internal Quality Using Spectral Absorption and Scattering Properties , 2009 .

[7]  Yukio Kosugi,et al.  Detection and Analysis of the Intestinal Ischemia Using Visible and Invisible Hyperspectral Imaging , 2010, IEEE Transactions on Biomedical Engineering.

[8]  C. Gendrin,et al.  Pharmaceutical applications of vibrational chemical imaging and chemometrics: a review. , 2008, Journal of pharmaceutical and biomedical analysis.

[9]  Roger Ellwood,et al.  Near-infrared hyperspectral imaging of teeth for dental caries detection. , 2009, Journal of biomedical optics.

[10]  D. Faller,et al.  Medical hyperspectral imaging to facilitate residual tumor identification during surgery , 2007, Cancer biology & therapy.

[11]  Renfu Lu,et al.  Spectral Absorption and Scattering Properties of Normal and Bruised Apple Tissue , 2010 .

[12]  Gabriele Reich,et al.  Near-infrared spectroscopy and imaging: basic principles and pharmaceutical applications. , 2005, Advanced drug delivery reviews.

[13]  I. D. Coope,et al.  Circle fitting by linear and nonlinear least squares , 1993 .

[14]  Luis Gómez-Chova,et al.  Configurable Passband Imaging Spectrometer Based on Acousto-optic Tunable Filter , 2008, ACIVS.

[15]  Yankun Peng,et al.  Hyperspectral Scattering for Assessing Peach Fruit Firmness , 2004 .

[16]  Ashok Samal,et al.  Visible/near-infrared hyperspectral imaging for beef tenderness prediction , 2008 .

[17]  R. Lu,et al.  Analysis of spatially resolved hyperspectral scattering images for assessing apple fruit firmness and soluble solids content , 2008 .

[18]  Anita Mahadevan-Jansen,et al.  Liquid-crystal tunable filter spectral imaging for brain tumor demarcation. , 2007, Applied optics.

[19]  Daniel Fried,et al.  Nondestructive assessment of the severity of occlusal caries lesions with near-infrared imaging at 1310 nm. , 2010, Journal of biomedical optics.

[20]  M. S. Moran,et al.  Bidirectional Calibration Results for 11 Spectralon and 16 BaSO4 Reference Reflectance Panels , 1992 .