Multi-parameter optical image interpretations based on self-organizing mapping

Christian D. Klose, A. K. Klose, U. Netz, A. Scheel, J. Beuthan, Andreas H. Hielscher

Research output: Chapter in Book/Report/Conference proceedingConference contribution


We found that using more than one parameter derived from optical tomographic images can lead to better image classification results compared to cases when only one parameter is used.. In particular we present a multi-parameter classification approach, called self-organizing mapping (SOM), for detecting synovitis in arthritic finger joints based on sagittal laser optical tomography (SLOT). This imaging modality can be used to determine various physical parameters such as minimal absorption and scattering coefficients in an image of the proximal interphalengeal joint. Results were compared to different gold standards: magnet resonance imaging, ultra-sonography and clinical evaluation. When compared to classifications based on single-parameters, e.g., absorption minimum only, the study reveals that multi-parameter classifications lead to higher classification sensitivities and specificities and statistical significances with p-values <5 per cent. Finally, the data suggest that image analyses are more reliable and avoid ambiguous interpretations when using more than one parameter.

Original languageEnglish (US)
Title of host publicationMultimodal Biomedical Imaging III
StatePublished - 2008
EventMultimodal Biomedical Imaging III - San Jose, CA, United States
Duration: Jan 19 2008Jan 21 2008

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
ISSN (Print)1605-7422


ConferenceMultimodal Biomedical Imaging III
Country/TerritoryUnited States
CitySan Jose, CA


  • Artificial Intelligence
  • Classification
  • Optical Tomographic Imaging
  • Self-Organizing Maps

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Biomaterials
  • Atomic and Molecular Physics, and Optics
  • Radiology Nuclear Medicine and imaging


Dive into the research topics of 'Multi-parameter optical image interpretations based on self-organizing mapping'. Together they form a unique fingerprint.

Cite this