Spectral Imaging and Applications
Matthias Carlsohn, Bjoern Menze, Michael Kelm, Fred Hamprecht, Andreas Kercek, Raimund Leitner, and Gerrit Polder

17.1 Introduction to Spectral Imaging (SI) .................................................................................
       17.1.1 Spectral Imaging as a Generalization of Color Imaging ....................................................
                 17.1.1.1 Time Constraints in SI ..............................................................................
                 17.1.1.2 The Imaging Principle of SI .........................................................................
                 17.1.1.3 Imaging Techniques in SI ...........................................................................
                 17.1.1.4 SI as Migration from Color Imaging ................................................................
                 17.1.1.5 Considerations for Practical Setup of SI Systems .................................................
       17.1.2 Analysis of Spectral Images ...................................................................................
17.2 Applications .............................................................................................................
       17.2.1 Calibration of SI Equipment in Measuring of Biochemicals in Food ......................................
                 17.2.1.1 Equipment Calibration ...............................................................................
                 17.2.1.2 Model Calibration ....................................................................................
                 17.2.1.3 Data Reduction .......................................................................................
       17.2.2 SI Systems for Industrial Waste Sorting .....................................................................
                 17.2.2.1 Sorting of Waste — Why? ...........................................................................
                 17.2.2.2 Sorting of Paper and Polymers .....................................................................
                 17.2.2.3 Industrial Requirements for Sorting Systems .....................................................
                 17.2.2.4 Why Spectral Imaging? ..............................................................................
                 17.2.2.5 SpectroSort® Hardware Setup .....................................................................
                 17.2.2.6 Data Evaluation — General Remarks ...............................................................
                 17.2.2.7 Preprocessing ........................................................................................
                 17.2.2.8 Spectral Data Evaluation ............................................................................
                 17.2.2.9 Integrated Image Processing .......................................................................
       17.2.3 Classification of Magnetic Resonance Spectroscopic Images .............................................
                 17.2.3.1 Identification of Noise Spectra ....................................................................
                 17.2.3.2 Prediction of Tumor Probability ....................................................................
17.3 Conclusion ..............................................................................................................
References .....................................................................................................................