title: Miniature spectral imaging device for wide-field quantitative functional imaging of the morphological landscape of breast tumor margins.
abstract: 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.
authors.affiliation: Duke University, Pratt School of Engineering, Department of Biomedical Engineering, Durham, North Carolina, United States.
authors.forename: Brandon S
authors.initials: BS
authors.lastname: Nichols
authors.affiliation: Duke University, Pratt School of Engineering, Department of Electrical Engineering, Durham, North Carolina, United States.
authors.forename: Antonio
authors.initials: A
authors.lastname: Llopis
authors.affiliation: Duke University Medical Center, Department of Radiation Oncology, Medicine Circle, Durham, North Carolina, United States.
authors.forename: Gregory M
authors.initials: GM
authors.lastname: Palmer
authors.affiliation: Duke University, Pratt School of Engineering, Department of Biomedical Engineering, Durham, North Carolina, United States.
authors.forename: Samuel S
authors.initials: SS
authors.lastname: McCachren
authors.affiliation: Duke University, Pratt School of Engineering, Department of Electrical Engineering, Durham, North Carolina, United States.
authors.forename: Ozlem
authors.initials: O
authors.lastname: Senlik
authors.affiliation: Duke University, Pratt School of Engineering, Department of Electrical Engineering, Durham, North Carolina, United States.
authors.forename: David
authors.initials: D
authors.lastname: Miller
authors.affiliation: Duke University, Pratt School of Engineering, Department of Electrical Engineering, Durham, North Carolina, United States.
authors.forename: Martin A
authors.initials: MA
authors.lastname: Brooke
authors.affiliation: Duke University, Pratt School of Engineering, Department of Electrical Engineering, Durham, North Carolina, United States.
authors.forename: Nan M
authors.initials: NM
authors.lastname: Jokerst
authors.affiliation: Duke University Medical Center, Department of Pathology, Durham, North Carolina, United States.
authors.forename: Joseph
authors.initials: J
authors.lastname: Geradts
authors.affiliation: Duke University Medical Center, Department of Surgery, Durham, North Carolina, United States.
authors.forename: Rachel
authors.initials: R
authors.lastname: Greenup
authors.affiliation: Duke University, Pratt School of Engineering, Department of Biomedical Engineering, Durham, North Carolina, United States.
authors.forename: Nimmi
authors.initials: N
authors.lastname: Ramanujam
mesh_terms: D001943:Breast Neoplasms / Q000000981:diagnostic imaging*; D005260:Female; D006801:Humans; D015412:Mastectomy, Segmental / Q000295:instrumentation; D008904:Miniaturization; D009010:Monte Carlo Method; D013057:Spectrum Analysis / Q000295:instrumentation*