ENHANCEMENT

Although imaging acquisition systems are very advanced, the output image data may have inherent noise, low contrast or poor edge definition. Furthermore, signals may be prone to a variety of noise sources. Image and signal enhancement techniques may be used to preprocess the medical data in order to offer a more suitable representation for both visual inspection and computer-based analysis.

• Enhancement Techniques for Medical Images
  • Contrast enhancement
  • Motion artifact compensation (patient movement)
  • Acquisition noise reduction (i.e., Gaussian, Rician)
  • Tissue non-uniformity correction of MRI (bias field correction)
  • Edge enhancement
  • Panning and zooming

• Enhancement Techniques for Medical Signals
  • Signal denoising
  • Signal filtering

Removal of tissue nonuniformity field in MRI. Left: original image, middle: estimated bias field (using PDE-based techniques), right: reconstructed image.