Literature DB >> 16173819

Spatial and spectral information in optical mammography.

Sergio Fantini1, Erica L Heffer, Vivian E Pera, Angelo Sassaroli, Ning Liu.   

Abstract

This article reviews our research activities in the area of optical mammography and relates them to the historical developments and the current state and trends in the field. The guiding threads for this article are the roles played in optical mammography by spatial and spectral information. The first feature, spatial information, is limited by the diffusive nature of light propagation but can take advantage of the exceptionally high optical contrast featured by blood vessels and blood-rich areas in the breast. We describe a method to correct for edge effects, a spatial second-derivative algorithm, and a two-dimensional phased-array approach that enhance the image contrast, the spatial resolution, and the depth discrimination in optical mammograms. The second feature, spectral information, is the most powerful and unique capability of optical mammography, and allows for functional measurements associated with hemoglobin concentration and oxygenation, water concentration, lipids content, and the wavelength dependence of tissue scattering. We present oxygenation-index images obtained from multi-wavelength optical data that point to the diagnostic potential of oxygenation information in optical mammography. The optimization of the spatial and spectral information in optical mammography has the potential to create a role for this imaging modality in the detection and monitoring of breast cancer.

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Year:  2005        PMID: 16173819     DOI: 10.1177/153303460500400502

Source DB:  PubMed          Journal:  Technol Cancer Res Treat        ISSN: 1533-0338


  6 in total

1.  Computed tomography for imaging the breast.

Authors:  John M Boone; Alex L C Kwan; Kai Yang; George W Burkett; Karen K Lindfors; Thomas R Nelson
Journal:  J Mammary Gland Biol Neoplasia       Date:  2006-04       Impact factor: 2.673

2.  An X-Ray computed tomography/positron emission tomography system designed specifically for breast imaging.

Authors:  John M Boone; Kai Yang; George W Burkett; Nathan J Packard; Shih-ying Huang; Spencer Bowen; Ramsey D Badawi; Karen K Lindfors
Journal:  Technol Cancer Res Treat       Date:  2010-02

3.  Measurement of pressure-displacement kinetics of hemoglobin in normal breast tissue with near-infrared spectral imaging.

Authors:  Shudong Jiang; Brian W Pogue; Ashley M Laughney; Christine A Kogel; Keith D Paulsen
Journal:  Appl Opt       Date:  2009-04-01       Impact factor: 1.980

4.  Hyperspectral image reconstruction for diffuse optical tomography.

Authors:  Fridrik Larusson; Sergio Fantini; Eric L Miller
Journal:  Biomed Opt Express       Date:  2011-03-25       Impact factor: 3.732

5.  Reconstructing a Deblurred 3D Structure in a Turbid Medium from a Single Blurred 2D Image-For Near-Infrared Transillumination Imaging of a Human Body.

Authors:  Koichi Shimizu; Sihan Xian; Jiekai Guo
Journal:  Sensors (Basel)       Date:  2022-08-01       Impact factor: 3.847

6.  Parametric level set reconstruction methods for hyperspectral diffuse optical tomography.

Authors:  Fridrik Larusson; Sergio Fantini; Eric L Miller
Journal:  Biomed Opt Express       Date:  2012-04-18       Impact factor: 3.732

  6 in total

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