Image guided near-infrared spectroscopy of breast tissue in vivo using boundary element method
Autor: | Colin M. Carpenter, Keith D. Paulsen, Wendy A. Wells, Roberta M. diFlorio-Alexander, Senate Johannes Taka, Peter A. Kaufman, Hamid R. Ghadyani, Brian W. Pogue, Subhadra Srinivasan |
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Rok vydání: | 2011 |
Předmět: |
Adult
Pathology medicine.medical_specialty Materials science Biomedical Engineering Special Section on Optical Diagnostic and Biophotonic Methods from Bench to Bedside Breast Neoplasms Iterative reconstruction Sensitivity and Specificity Biomaterials In vivo Image Interpretation Computer-Assisted medicine Humans Boundary element method Breast tissue Spectroscopy Near-Infrared Image (category theory) Near-infrared spectroscopy Reproducibility of Results Equipment Design Fibroglandular Tissue Image Enhancement Magnetic Resonance Imaging Atomic and Molecular Physics and Optics Electronic Optical and Magnetic Materials Equipment Failure Analysis Subtraction Technique Female Preclinical imaging Algorithms Biomedical engineering |
Zdroj: | Journal of biomedical optics. 15(6) |
ISSN: | 1560-2281 |
Popis: | We demonstrate quantitative functional imaging using image- guided near-infrared spectroscopy (IG-NIRS) implemented with the boundary element method (BEM) for reconstructing 3-D optical prop- erty estimates in breast tissue in vivo. A multimodality MRI-NIR system was used to collect measurements of light reflectance from breast tis- sue. The BEM was used to model light propagation in 3-D based only on surface discretization in order to reconstruct quantitative values of total hemoglobin (HbT), oxygen saturation, water, and scatter. The tech- nique was validated in experimental measurements from heterogeneous breast-shaped phantoms with known values and applied to a total of seven subjects comprising six healthy individuals and one participant with cancer imaged at two time points during neoadjuvant chemother- apy. Using experimental measurements from a heterogeneous breast phantom, BEM for IG-NIRS produced accurate values for HbT in the inclusion with a |
Databáze: | OpenAIRE |
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