[ University of Ljubljana ]  [ Faculty of Electrical Engineering ]  [ Laboratory of Imaging Technologies ]   [ Print version ]  [ Slovenščina ] 
 
 
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Biomedical Image Analysis
doctoral program (level 3)
 
Details
 
>> Execution
Doctoral program in electrical engineering (level 3).
 
  Lecturer
Prof. Dr. Franjo Pernus
  Consultation hours
Only in person with compulsory prior appointment via e-mail.
  Study material
    
  • Milan Sonka and J. Michael Fitzpatrick (Eds.): Handbook of Medical Imaging, Medical Image Processing and Analysis, Vol. 2. SPIE - The International Society for Optical Engineering, 1st Edition, 2000.
     
  • Isaac N. Bankman (Ed.): Handbook of Medical Image Processing and Analysis. Academic Press, 2nd Edition, 2008.
     
  • Terry Peters and Kevin Cleary (Eds.): Image-Guided Interventions: Technology and Applications. Springer, 2008.
     
  • M.A. Hayat (Ed.): Cancer Imaging. Instrumentation and Applications, Vol. 2. Academic Press, 2008.
      Course description
    Introduction: history, role and fields in computer-assisted image analysis in biomedicine.
    Image registration and integration: role of image registration in medicine, classification of registration techniques, modeling of geometrical transformations and deformations, point-based methods, identification and fitting of control points, surface-based methods, similarity function-based methods, analysis and evaluation of registration techniques, clinical cases of image registration and integration.
    Image segmentation and quantitative analysis: classification of techniques, adaptive thresholding, derivative-based segmentation, area spreading and merging segmentation, classification-based methods, model-based methods. Describing images with mathematical and physical models, describing with prinicipal components, statistical models of appearance and shape. Evaluating segmentation results.
    Image-guided surgical interventions: tracking and navigation systems, visualization in image-guided surgery, intervention planning, registration of images, models and intervention plans with the patient or images of the patient, evaluation of reliability and accuracy of image-guided interventions, clinical value of image-guided interventions.
     
      






     
     
    Contents
     
    >> Study courses ]
     
              [ System Analysis ]
              [ Product Design and Development ]
              [ Imaging Informatics ]
     
              [ Statistical Process Control ]
     
              [ Biomedical Informatics ]
              [ Image and Video Processing ]
              [ Biomedical Imaging Technologies ]
              [ Robot Vision ]
              [ Medical Image Analysis ]
     
              [ Biomedical Image Analysis ]
                        [ Details ]
              [ Imaging Technologies ]
     
              [ Theory of Circuits and Systems ]
              [ Circuits and Systems ]
              [ Medical Informatics and Diagnostics ]
     
    >> Junior researchers and research work ]
     
    >> Graduation theses ]