• A random forest-based method for selection of regions of interest in hyperspectral images of ex vivo human skin 

      Bjorgan, Asgeir; Randeberg, Lise Lyngsnes (Journal article; Peer reviewed, 2019)
      Hyperspectral imaging is a useful tool for characterization of human tissue. However, the vast amount of data created makes it challenging and tedious to manually select spatial regions of interest for further processing. ...
    • Application of smoothing splines for spectroscopic analysis in hyperspectral images 

      Bjorgan, Asgeir; Randeberg, Lise Lyngsnes (Journal article; Peer reviewed, 2019)
      The spectral and spatial resolution of hyperspectral imaging is useful for investigation of tissue autofluorescence. The low-light, noisy conditions in fluorescence imaging usually necessitates noise removal for extraction ...
    • Can spectral-spatial image segmentation be used to discriminate experimental burn wounds? 

      Paluchowski, Lukasz A.; Nordgaard, Håvard B.; Bjorgan, Asgeir; Hov, Håkon; Berget, Sissel Marie; Randeberg, Lise Lyngsnes (Journal article; Peer reviewed, 2016)
      Hyperspectral imaging (HSI) is a noncontact and noninvasive optical modality emerging the field of medical research. The goal of this study was to determine the ability of HSI and image segmentation to discriminate burn ...
    • Combined 3D model acquisition and autofocus tracking system for hyperspectral line-scanning devices 

      Bjorgan, Asgeir; Lukasz, Paluchowski; Seljebotn, Svein Tore Koksrud; Randeberg, Lise Lyngsnes (Journal article; Peer reviewed, 2019)
      Obtaining a sharp and focused image is essential to fully utilize the advantages of hyperspectral imaging. For line scanning hyperspectral devices, focusing is a challenge in applications where the height and/or position ...
    • Estimation of skin optical parameters for real-time hyperspectral imaging applications 

      Bjorgan, Asgeir; Milanic, Matija; Randeberg, Lise Lyngsnes (Journal article; Peer reviewed, 2014)
      Hyperspectral imaging combines high spectral and spatial resolution in one modality. This imaging technique is a promising tool for objective medical diagnostics. However, to be attractive in a clinical setting, the technique ...
    • Hyperspectral imaging for detection of cholesterol in human skin 

      Milanic, Matija; Bjorgan, Asgeir; Larsson, Marcus; Marraccini, Paolo; Strömberg, Tomas; Randeberg, Lise Lyngsnes (Journal article; Peer reviewed, 2015)
      Hypercholesterolemia is characterized by high levels of cholesterol in the blood and is associated with an increased risk of atherosclerosis and coronary heart disease. Early detection of hypercholesterolemia is necessary ...
    • Real-Time Noise Removal for Line-Scanning Hyperspectral Devices Using a Minimum Noise Fraction-Based Approach 

      Bjorgan, Asgeir; Randeberg, Lise Lyngsnes (Journal article; Peer reviewed, 2015)
      Processing line-by-line and in real-time can be convenient for some applications of line-scanning hyperspectral imaging technology. Some types of processing, like inverse modeling and spectral analysis, can be sensitive ...
    • Towards real-time medical diagnostics using hyperspectral imaging technology 

      Bjorgan, Asgeir; Randeberg, Lise Lyngsnes (Conference object; Journal article; Peer reviewed, 2015)
      Hyperspectral imaging provides non-contact, high resolution spectral images which has a substantial diagnostic potential. This can be used for e.g. diagnosis and early detection of arthritis in finger joints. Processing ...
    • Vessel contrast enhancement in hyperspectral images 

      Bjorgan, Asgeir; Denstedt, Martin Anders Fredrik; Milanic, Matija; Paluchowski, Lukasz A.; Randeberg, Lise Lyngsnes (Journal article; Peer reviewed, 2015)
      Imaging of vessel structures can be useful for investigation of endothelial function, angiogenesis and hyper-vascularization. This can be challenging for hyperspectral tissue imaging due to photon scattering and absorption ...
    • Vessel contrast enhancement in hyperspectral images 

      Bjorgan, Asgeir; Denstedt, Martin Anders Fredrik; Milanic, Matija; Paluchowski, Lukasz A.; Randeberg, Lise Lyngsnes (Journal article; Peer reviewed, 2015)
      Imaging of vessel structures can be useful for investigation of endothelial function, angiogenesis and hyper-vascularization. This can be challenging for hyperspectral tissue imaging due to photon scattering and absorption ...
    • Wavelet based feature extraction and visualization in hyperspectral tissue characterization 

      Denstedt, Martin Anders Fredrik; Bjorgan, Asgeir; Milanic, Matija; Randeberg, Lise Lyngsnes (Journal article; Peer reviewed, 2014)
      Hyperspectral images of tissue contain extensive and complex information relevant for clinical applications. In this work, wavelet decomposition is explored for feature extraction from such data. Wavelet methods are simple ...