Fundamentals of Biomedical Image Processing

This chapter gives an introduction to the methods of biomedical image processing. After some fundamental preliminary remarks to the terminology used, medical imaging modalities are introduced (Sect. 1.2). Sections 1.3 and 1.4 deal with low-level image processing and visualization, respectively, as far as necessary to understand the following chapters. Subsequently, the core steps of image analysis, namely: feature extraction, segmentation, classification, quantitative measurements, and interpretation are presented in separate sections. On account of its high relevance, the focus is on segmentation of biomedical images. Special segmentation methods and techniques have been developed in the medical application domain. Section 1.9 provides a brief summary of image communication. The electronic transmission and exchange of medical images will become more important in future for multimedia applications such as electronic patient records in health telematics and integrated care. Section 1.10 completes this chapter with an overview of past, present, and future challenges to biomedical image processing.

[1]  C.E. Shannon,et al.  Communication in the Presence of Noise , 1949, Proceedings of the IRE.

[2]  Jos B. T. M. Roerdink,et al.  Visualization in Medicine and Life Sciences , 2008, Visualization in Medicine and Life Sciences.

[3]  Thomas Martin Deserno,et al.  IDEFIX: identification of dental fixtures in intraoral x rays , 1996, Medical Imaging.

[4]  Thomas Martin Deserno,et al.  A simple parametric equation for pseudocoloring grey scale images keeping their original brightness progression , 1997, Image Vis. Comput..

[5]  Harold L. Kundel,et al.  Physics and psychophysics , 2000 .

[6]  Scott E. Umbaugh,et al.  Computer Imaging: Digital Image Analysis and Processing , 2005 .

[7]  Paul Suetens,et al.  Fundamentals of Medical Imaging by Paul Suetens , 2009 .

[8]  Isaac N. Bankman,et al.  Handbook of medical image processing and analysis , 2009 .

[9]  T M Lehmann,et al.  Content-based Image Retrieval in Medical Applications , 2004, Methods of Information in Medicine.

[10]  Thomas Martin Deserno,et al.  Bildverarbeitung für die Medizin: Grundlagen, Modelle, Methoden, Anwendungen , 1997, Bildverarbeitung für die Medizin.

[11]  Timothy F. Cootes,et al.  Active Shape Models-Their Training and Application , 1995, Comput. Vis. Image Underst..

[12]  Demetri Terzopoulos,et al.  Snakes: Active contour models , 2004, International Journal of Computer Vision.

[13]  Udalrich Büll,et al.  Multimodale Integration, Korrelation und Fusion von Morphologie und Funktion: Methodik und erste klinische Anwendungen , 1999 .

[14]  J Hesser,et al.  Live-wires using path-graphs. , 2004, Methods of information in medicine.

[15]  Thomas Martin Deserno,et al.  Computer-assisted quantification of axo-somatic boutons at the cell membrane of motoneurons , 2001, IEEE Transactions on Biomedical Engineering.

[16]  D. Ffytche,et al.  An Introduction to the Principles of Medical Imaging , 2000 .

[17]  Thomas Martin Deserno,et al.  Deformable membrane for the segmentation of cytological samples , 1998, Medical Imaging.

[18]  T M Lehmann,et al.  Advances in Biomedical Image Analysis , 2004, Methods of Information in Medicine.

[19]  D. Okada,et al.  Digital Image Processing for Medical Applications , 2009 .

[20]  J. Jan.  Medical Image Processing, Reconstruction and Restoration: Concepts and Methods , 2005 .

[21]  Edward R. Dougherty,et al.  Digital Image Processing Methods , 1994 .

[22]  Richard L. Van Metter,et al.  Handbook of Medical Imaging , 2009 .

[23]  Anke Meyer-Bäse.  Pattern recognition for medical imaging , 2003 .

[24]  Andreas Pommert,et al.  Ein realistisches dreidimensionales Modell der inneren Organe auf der Basis des Visible Human , 2001, Bildverarbeitung für die Medizin.

[25]  R. Rangayyan.  Biomedical Image Analysis , 2004 .

[26]  R. M. Natal Jorge,et al.  Advances in Computational Vision and Medical Image Processing , 2009 .

[27]  George C. Kagadis,et al.  Introduction to the Science of Medical Imaging , 2009 .

[28]  K Mottaghy,et al.  A novel method for quantifying shape deformation applied to biocompatibility testing. , 1999, ASAIO journal.