Cargando…
Wavelength Optimization for Quantitative Spectral Imaging of Breast Tumor Margins
A wavelength selection method that combines an inverse Monte Carlo model of reflectance and a genetic algorithm for global optimization was developed for the application of spectral imaging of breast tumor margins. The selection of wavelengths impacts system design in cost, size, and accuracy of tis...
Autores principales: | Lo, Justin Y., Brown, J. Quincy, Dhar, Sulochana, Yu, Bing, Palmer, Gregory M., Jokerst, Nan M., Ramanujam, Nirmala |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2013
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3629043/ https://www.ncbi.nlm.nih.gov/pubmed/23613927 http://dx.doi.org/10.1371/journal.pone.0061767 |
Ejemplares similares
-
A diffuse reflectance spectral imaging system for tumor margin assessment using custom annular photodiode arrays
por: Dhar, Sulochana, et al.
Publicado: (2012) -
Performance metrics of an optical spectral imaging system for intra-operative assessment of breast tumor margins
por: Bydlon, Torre M., et al.
Publicado: (2010) -
Optical Spectral Surveillance of Breast Tissue Landscapes for Detection of Residual Disease in Breast Tumor Margins
por: Brown, J. Quincy, et al.
Publicado: (2013) -
Quantitative Segmentation of Fluorescence Microscopy Images of Heterogeneous Tissue: Application to the Detection of Residual Disease in Tumor Margins
por: Mueller, Jenna L., et al.
Publicado: (2013) -
Structured Illumination Microscopy and a Quantitative Image Analysis for the Detection of Positive Margins in a Pre-Clinical Genetically Engineered Mouse Model of Sarcoma
por: Fu, Henry L., et al.
Publicado: (2016)