Hyperspectral Imaging for Clinical Applications

Hyperspectral Imaging for Remote Sensing Applications

Applications of gold nanoparticles for medical imaging

Background & Aim: Molecular imaging enables us to non-invasively visualize tissue microstructures and lesion characterization, allowing accurate diagnosis of diseases at early stages. A successful molecular imaging requires a nontoxic contrast agent with high sensitivity. Nowadays, a wide range of nanoparticles have been developed as contrast agents for medical imaging modalities. Here, we revi...

Production, quality control and imaging of 64Cu-ATSM in healthy rabbits for clinical applications

  Introduction: [64Cu]diacetyl-bis(N4-methylthiosemicarbazone) ([64Cu]ATSM) is a well-established hypoxia imaging tracer with reproducible production and significant specifity. In this work the high yield production and quality control as well as imaging studies in healthy rabbits is reported. Methods: Copper-64 produced ...

SHARE 2012: Large Edge Targets for Hyperspectral Imaging Applications

Spectral unmixing is a type of hyperspectral imagery (HSI) sub-pixel analysis where the constituent spectra and abundances within the pixel are identified. However, validating the results obtained from spectral unmixing is very difficult due to a lack of real-world data and ground-truth information associated with these real-world images. Real HSI data is preferred for validating spectral unmix...

Adaptive matched subspace detectors for hyperspectral imaging applications

Real-time detection and identification of man-made objects or materials (“targets”) from airborne platforms using hyperspectral sensors are of great interest for civilian and military applications. Over the past several years, different algorithms for the detection of targets with known spectral signature have been developed. Most of these algorithms have been reviewed in [1] within a unified t...