Abstract:
Presents a new interframe coding method for medical images, in particular magnetic resonance (MR) images. Until now, attempts in using interframe redundancies for coding ...Show MoreMetadata
Abstract:
Presents a new interframe coding method for medical images, in particular magnetic resonance (MR) images. Until now, attempts in using interframe redundancies for coding MR images have been unsuccessful. The authors believe that the main reason for this is twofold: unsuitable interframe estimation models and the thermal noise inherent in magnetic resonance imaging (MRI). The interframe model used here is a continuous affine mapping based on (and optimized by) deforming triangles. The inherent noise of MRI is dealt with by using a median filter within the estimation loop. The residue frames are quantized with a zero-tree wavelet coder, which includes arithmetic entropy coding. This particular method of quantization allows for progressive transmission, which aside from avoiding buffer control problems is very attractive in medical imaging applications.
Published in: IEEE Transactions on Medical Imaging ( Volume: 15, Issue: 5, October 1996)
DOI: 10.1109/42.538941
Beckman Institute, University of Illinois, Urbana-Champaign, Urbana, IL, USA
Princeton University, Princeton, NJ, USA
Electrical and Computer Engineering Department, Rice University, Houston, TX, USA
IBM Microelectronics Advanced Digital VideoLaboratories, Endicott, NY, USA
Electrical Engineering Department, Princeton University, Princeton, NJ, USA
Electrical Engineering Department, Princeton University, Princeton, NJ, USA
Beckman Institute, University of Illinois, Urbana-Champaign, Urbana, IL, USA
Princeton University, Princeton, NJ, USA
Electrical and Computer Engineering Department, Rice University, Houston, TX, USA
IBM Microelectronics Advanced Digital VideoLaboratories, Endicott, NY, USA
Electrical Engineering Department, Princeton University, Princeton, NJ, USA
Electrical Engineering Department, Princeton University, Princeton, NJ, USA
