Abstract
.Significance: Hyperspectral imaging (HSI) has emerged as a promising optical technique. Besides optical properties of a sample, other sample physical properties also affect the recorded images. They are significantly affected by the sample curvature and sample surface to camera distance. A correction method to reduce the artifacts is necessary to reliably extract sample properties.Aim: Our aim is to correct hyperspectral images using the three-dimensional (3D) surface data and assess how the correction affects the extracted sample properties.Approach: We propose the combination of HSI and 3D profilometry to correct the images using the Lambert cosine law. The feasibility of the correction method is presented first on hemispherical tissue phantoms and next on human hands before, during, and after the vascular occlusion test (VOT).Results: Seven different phantoms with known optical properties were created and imaged with a hyperspectral system. The correction method worked up to 60 deg inclination angle, whereas for uncorrected images the maximum angles were 20 deg. Imaging hands before, during, and after VOT shows good agreement between the expected and extracted skin physiological parameters.Conclusions: The correction method was successfully applied on the images of tissue phantoms of known optical properties and geometry and VOT. The proposed method could be applied to any reflectance optical imaging technique and should be used whenever the sample parameters need to be extracted from a curved surface sample.
Highlights
Optical imaging techniques have shown great potential in medical applications, primarily in disease diagnosis and surgical guidance.[1]
The correction method was successfully applied on the images of tissue phantoms of known optical properties and geometry and vascular occlusion test (VOT)
The proposed method could be applied to any reflectance optical imaging technique and should be used whenever the sample parameters need to be extracted from a curved surface sample
Summary
Optical imaging techniques have shown great potential in medical applications, primarily in disease diagnosis and surgical guidance.[1]. HSI is a spectral imaging technique capturing spectral and spatial information simultaneously.[5] The image is a three-dimensional (3D) data cube having two spatial dimensions and one spectral dimension. It can capture hundreds of wavelength bands, including ultraviolet, visible, and near-infrared light. Scanning-based imaging usually generates images by acquiring the spectrum of each pixel (whiskbroom instruments) or line of pixels (pushbroom instruments), whereas the wide-field imaging usually acquires the whole scene with a two-dimensional detector in a single exposure and steps through the wavelengths.[4] Additional information about different spectral imaging methods can be found in Ref. 6. The method has already been used in a variety of medical applications, such as diagnosis of hemorrhagic shock, detection of peripheral artery disease, and assessing the age of bruises.[1]
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
