We present the first laser speckle imaging device for skin cancer detection that can image and distinguish shallow and deep vessels from speckle frames acquired with a single exposure time. To do this, we have developed a new signal processing technique based on the simultaneous evaluation of two metrics: one based on contrast, and one based on a normalized version of the second order autocorrelation function, to reveal deep and shallow vessels, respectively. We will present data from the pilot studies we are conducting on healthy volunteers and skin cancer patients at MGH skin cancer clinic, in which we will compare the microvasculature images obtained with our device from different skin lesions.
We present a practical laser speckle imaging device for skin cancer detection based on a 980 nm source and black silicon camera technology, with superior penetration depth and contrast.
By operating at 980 nm we obtain deeper perfusion contrast and are immune to differences in skin pigmentation. The use of a black silicon camera ensures a high quantum efficiency without significantly increasing the cost and complexity of the device.
We will show the effectiveness of the device in imaging different skin lesions and discuss the system specifications (wavelength, power, exposure time, frame rate, and processing algorithm) that led to the optimal contrast.
We present the first feasibility study of a new optical device for assisted venipuncture based on partially-coherent wide-field speckle decorrelation. Using a pseudo-thermal light source, we can vary the degree of spatial coherence, in order to change the ratio of singly- to multiply-scattered light detected by the system. This leads to an improvement in the localization of the decorrelation contrast, and therefore in the delineation of deep veins, as compared to conventional laser speckle imaging (LSI) systems.
The results obtained so far make us believe that our spatial coherence-gated LSI imaging architecture can find widespread application beyond venipuncture.
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