Ultrafast optical property map generation using lookup tables

Angelo, Joseph; Vargas, Christina R.; Lee, Bernard T.; Bigio, Irving J.; Gioux, Sylvain

doi:10.1117/1.jbo.21.11.110501

Cited by 46 publications

(50 citation statements)

References 12 publications

(18 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Utilizing a faster acquisition technique such as single snapshot [23] or a faster processing technique such as the look up table (LUT) model recently proposed by Angelo et. al [24] could reduce the overall quantification time and provide results in the clinic. This near real-time feedback would be particularly useful for monitoring light-based therapies such as laser or photodynamic therapy.…”

Section: Resultsmentioning

confidence: 99%

Noninvasive mesoscopic imaging of actinic skin damage using spatial frequency domain imaging

Travers

Poon

Rohrbach

et al. 2017

Biomed. Opt. Express

View full text Add to dashboard Cite

For prevention and accurate intervention planning, it is crucial to predict if lesions will progress towards cancer. In this study, we investigated the change in optical properties and vascular parameters to characterize skin tissue from mild photodamage to actinic keratosis (AK). Multi-wavelength spatial frequency domain imaging (SFDI) measurements were performed on three patients with clinically normal skin, as well as pre-cancerous actinic keratosis lesions. Our results indicate that there exist significant differences in both optical and vascular parameters between these patients, and that these parameters can be early biomarkers of neoplasia. Ultimately, clinicians can use this noninvasive approach for frequent monitoring of high-risk population.

show abstract

Section: Resultsmentioning

confidence: 99%

Noninvasive mesoscopic imaging of actinic skin damage using spatial frequency domain imaging

Travers

Poon

Rohrbach

et al. 2017

Biomed. Opt. Express

View full text Add to dashboard Cite

show abstract

“…Demodulation time is currently estimated at 100 ms, though this processing is currently being done in MATLAB and could certainly be optimized for real-time feedback. While the current processing time to invert diffuse reflectance maps to optical properties is typically on the order of 1 second, we recently demonstrated that this inversion time could be reduced significantly to approximately 10 ms [31]. Altogether this work lays the foundation of real-time quantitative optical imaging through an endoscope and its clinical translation, potentially enabling endoscopic implementation of current quantitative, widefield techniques [32][33][34].…”

Section: Discussionmentioning

confidence: 95%

Real-time endoscopic optical properties imaging

Angelo¹,

Giessen²,

Gioux³

2017

Biomed. Opt. Express

Self Cite

View full text Add to dashboard Cite

Abstract:With almost 50% of all surgeries in the U.S. being performed as minimally invasive procedures, there is a need to develop quantitative endoscopic imaging techniques to aid surgical guidance. Recent developments in widefield optical imaging make endoscopic implementations of real-time measurement possible. In this work, we introduce a proof-ofconcept endoscopic implementation of a functional widefield imaging technique called 3D single snapshot of optical properties (3D-SSOP) that provides quantitative maps of absorption and reduced scattering optical properties as well as surface topography with simple instrumentation added to a commercial endoscope. The system's precision and accuracy is validated using tissue-mimicking phantoms, showing a max error of 0.004 mm −1 , 0.05 mm −1 , and 1.1 mm for absorption, reduced scattering, and sample topography, respectively. This study further demonstrates video acquisition of a moving phantom and an in vivo sample with a framerate of approximately 11 frames per second.

show abstract

“…However, with model based inversion methods, fitting time is a limitation. While look-up-table approaches could provide a substantial improvement, a direct calculation of optical properties from an empirically fitted function has demonstrated faster inversion times without the need for a look-up routine (Angelo et al 2016). A classification model based on raw multi-spectral reflectance over multiple spatial frequencies may overcome the computational barrier.…”

Section: Discussionmentioning

confidence: 99%

Calibration and analysis of a multimodal micro-CT and structured light imaging system for the evaluation of excised breast tissue

et al. 2017

View full text Add to dashboard Cite

A multimodal micro-computed tomography (CT) and multi-spectral structured light imaging (SLI) system is introduced and systematically analyzed to test its feasibility to aid in margin delineation during breast conserving surgery (BCS). Phantom analysis of the micro-CT yielded a signal-to-noise ratio (SNR) of 34, a contrast of 1.64, and a minimum detectable resolution of 240 µm for a 1.2 min scan. The SLI system, spanning wavelengths 490 nm to 800 nm and spatial frequencies up to 1.37 mm−1, was evaluated with aqueous tissue simulating phantoms having variations in particle size distribution, scatter density, and blood volume fraction. The reduced scattering coefficient, μs′ and phase function parameter, γ, were accurately recovered over all wavelengths independent of blood volume fractions from 0% to 4%, assuming a flat sample geometry perpendicular to the imaging plane. The resolution of the optical system was tested with a step phantom, from which the modulation transfer function (MTF) was calculated yielding a maximum resolution of 3.78 cycles per mm. The three dimensional (3D) spatial co-registration between the CT and optical imaging space was tested and shown to be accurate within 0.7 mm. A freshly resected breast specimen, with lobular carcinoma, fibrocystic disease, and adipose, was imaged with the system. The micro-CT provided visualization of the tumor mass and its spiculations, and SLI yielded superficial quantification of light scattering parameters for the malignant and benign tissue types. These results appear to be the first demonstration of SLI combined with standard medical tomography for imaging excised tumor specimens. While further investigations are needed to determine and test the spectral, spatial, and CT features required to classify tissue, this study demonstrates the ability of multimodal CT/SLI to quantify, visualize, and spatially navigate breast tumor specimens, which could potentially aid in the assessment of tumor margin status during BCS.

show abstract

Ultrafast optical property map generation using lookup tables

Cited by 46 publications

References 12 publications

Noninvasive mesoscopic imaging of actinic skin damage using spatial frequency domain imaging

Noninvasive mesoscopic imaging of actinic skin damage using spatial frequency domain imaging

Real-time endoscopic optical properties imaging

Calibration and analysis of a multimodal micro-CT and structured light imaging system for the evaluation of excised breast tissue

Contact Info

Product

Resources

About