title: Visualization and classification in biomedical terahertz pulsed imaging.
abstract: 'Visualization' in imaging is the process of extracting useful information from raw data in such a way that meaningful physical contrasts are developed. 'Classification' is the subsequent process of defining parameter ranges which allow us to identify elements of images such as different tissues or different objects. In this paper, we explore techniques for visualization and classification in terahertz pulsed imaging (TPI) for biomedical applications. For archived (formalin-fixed, alcohol-dehydrated and paraffin-mounted) test samples, we investigate both time- and frequency-domain methods based on bright- and dark-field TPI. Successful tissue classification is demonstrated.
authors.affiliation: Physikalisches Institut der J W Goethe-Universität, Robert-Mayer-Str. 2-4, D-60054 Frankfurt, Germany. t.loeffler@physik.uni-frankfurt.de
authors.forename: Torsten
authors.initials: T
authors.lastname: Löffler
authors.forename: Karsten
authors.initials: K
authors.lastname: Siebert
authors.forename: Stephanie
authors.initials: S
authors.lastname: Czasch
authors.forename: Tobias
authors.initials: T
authors.lastname: Bauer
authors.forename: Hartmut G
authors.initials: HG
authors.lastname: Roskos
mesh_terms: D000818:Animals; D002171:Canaries; D003952:Diagnostic Imaging / Q000295:instrumentation / Q000379:methods*; D004285:Dogs; D055590:Electromagnetic Phenomena / Q000295:instrumentation / Q000379:methods; D006257:Head / Q000033:anatomy & histology*; D007089:Image Enhancement / Q000295:instrumentation / Q000379:methods*; D012515:Mast-Cell Sarcoma / Q000145:classification / Q000175:diagnosis; D008872:Microwaves; D009928:Organ Specificity; D010363:Pattern Recognition, Automated; D012878:Skin Neoplasms / Q000145:classification / Q000175:diagnosis*; D013057:Spectrum Analysis / Q000295:instrumentation / Q000379:methods*; D016707:Tissue Fixation / Q000379:methods