Research Papers: Imaging

Direct curvature correction for noncontact imaging modalities applied to multispectral imaging

[+] Author Affiliations
Jana M. Kainerstorfer

National Institutes of Health, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Program on Pediatric Imaging and Tissue Sciences/Section on Analytical and Functional Biophotonics (PPITS/SAFB), Bethesda, Maryland 20892 and Medical University of Vienna, Center for Medical Physics and Biomedical Engineering, Waehringer Strasse 13, 1090 Vienna, Austria

Franck Amyot

National Institutes of Health, National Institutes of Neurological Disorders and Stroke, Clinical Neuroscience Program, Bethesda, Maryland 20892

Martin Ehler

National Institutes of Health, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Program in Physical Biology/Laboratory of Integrative and Medical Biophysics/Section on Medical Biophysics (PPB/LIMB/SMB), Bethesda, Maryland 20892

Moinuddin Hassan

National Institutes of Health, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Program on Pediatric Imaging and Tissue Sciences/Section on Analytical and Functional Biophotonics (PPITS/SAFB), Bethesda, Maryland 20892

Stavros G. Demos

Lawrence Livermore National Laboratory, 700 East Avenue, Livermore, California 94551

Victor Chernomordik

National Institutes of Health, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Program on Pediatric Imaging and Tissue Sciences/Section on Analytical and Functional Biophotonics (PPITS/SAFB), Bethesda, Maryland 20892

Christoph K. Hitzenberger

Medical University of Vienna, Center for Medical Physics and Biomedical Engineering, Waehringer Strasse 13, 1090 Vienna, Austria

Amir H. Gandjbakhche, Jason D. Riley

National Institutes of Health, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Program on Pediatric Imaging and Tissue Sciences/Section on Analytical and Functional Biophotonics (PPITS/SAFB), Bethesda, Maryland 20892

J. Biomed. Opt. 15(4), 046013 (August 04, 2010). doi:10.1117/1.3470094
History: Received November 14, 2009; Revised May 24, 2010; Accepted June 02, 2010; Published August 04, 2010; Online August 04, 2010
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Noncontact optical imaging of curved objects can result in strong artifacts due to the object’s shape, leading to curvature biased intensity distributions. This artifact can mask variations due to the object’s optical properties, and makes reconstruction of optical/physiological properties difficult. In this work we demonstrate a curvature correction method that removes this artifact and recovers the underlying data, without the necessity of measuring the object’s shape. This method is applicable to many optical imaging modalities that suffer from shape-based intensity biases. By separating the spatially varying data (e.g., physiological changes) from the background signal (dc component), we show that the curvature can be extracted by either averaging or fitting the rows and columns of the images. Numerical simulations show that our method is equivalent to directly removing the curvature, when the object’s shape is known, and accurately recovers the underlying data. Experiments on phantoms validate the numerical results and show that for a given image with 16.5% error due to curvature, the method reduces that error to 1.2%. Finally, diffuse multispectral images are acquired on forearms in vivo. We demonstrate the enhancement in image quality on intensity images, and consequently on reconstruction results of blood volume and oxygenation distributions.

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© 2010 Society of Photo-Optical Instrumentation Engineers

Citation

Jana M. Kainerstorfer ; Franck Amyot ; Martin Ehler ; Moinuddin Hassan ; Stavros G. Demos, et al.
"Direct curvature correction for noncontact imaging modalities applied to multispectral imaging", J. Biomed. Opt. 15(4), 046013 (August 04, 2010). ; http://dx.doi.org/10.1117/1.3470094


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