Journal of Biomedical Optics · 2017 · 13 citations · 25 references
EngineeringBioengineeringBiomedical EngineeringBiomedical ImagingBiomedical OpticsDiagnostic ImagingBreast Cancer ImagingBreast ImagingBreast Lesion CharacterizationMedical ImagingOptical ImagingOptical SpectroscopyCompressive SensingDiffuse Optical SpectroscopyDiffuse Reflectance SpectroscopyMorphological Landscape AnalysisRaster ScanningSpectral ImagingTumor Margin AnalysisTumor Margins Assessment
We have developed a portable, breast margin assessment probe leveraging diffuse optical spectroscopy to quantify the morphological landscape of breast tumor margins during breast conserving surgery. The approach presented here leverages a custom-made 16-channel annular photodiode imaging array (arranged in a 4 × 4 grid), a raster-scanning imaging platform with precision pressure control, and compressive sensing with an optimized set of eight wavelengths in the visible spectral range. A scalable Monte-Carlo-based inverse model is used to generate optical property [ ? s ? ( ? ) and ? a ( ? ) ] measures for each of the 16 simultaneously captured diffuse reflectance spectra. Subpixel sampling (0.75 mm) is achieved through incremental x , y raster scanning of the imaging probe, providing detailed optical parameter maps of breast margins over a 2 × 2 ?? cm 2 area in ? 9 ?? min . The morphological landscape of a tumor margin is characterized using optical surrogates for the fat to fibroglandular content ratio, which has demonstrated diagnostic utility in delineating tissue subtypes in the breast.
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